mirror of
https://github.com/catlog22/Claude-Code-Workflow.git
synced 2026-03-10 17:11:04 +08:00
61ea9d47a6
- Added detailed constraints for the Coordinator role in the team UX improvement skill, emphasizing orchestration responsibilities and workflow management. - Updated test cases in DashboardToolbar, useIssues, and useWebSocket to improve reliability and clarity. - Introduced new tests for configStore and ignore patterns in Codex Lens to ensure proper functionality and configuration handling. - Enhanced smart search functionality with improved embedding selection logic and added tests for various scenarios. - Updated installation and usage documentation to reflect changes in directory structure and role specifications.
815 lines
36 KiB
Markdown
815 lines
36 KiB
Markdown
---
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name: team-quality-assurance
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description: Full closed-loop QA combining issue discovery and software testing. Scout -> Strategist -> Generator -> Executor -> Analyst with multi-perspective scanning, progressive test layers, GC loops, and quality scoring. Supports discovery, testing, and full QA modes.
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argument-hint: "[-y|--yes] [-c|--concurrency N] [--continue] [--mode=discovery|testing|full] \"task description\""
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allowed-tools: spawn_agents_on_csv, spawn_agent, wait, send_input, close_agent, Read, Write, Edit, Bash, Glob, Grep, AskUserQuestion
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---
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## Auto Mode
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When `--yes` or `-y`: Auto-confirm task decomposition, skip interactive validation, use defaults.
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# Team Quality Assurance
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## Usage
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```bash
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$team-quality-assurance "Full QA for the authentication module"
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$team-quality-assurance --mode=discovery "Scan codebase for security and bug issues"
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$team-quality-assurance --mode=testing "Test recent changes with progressive coverage"
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$team-quality-assurance -c 4 --mode=full "Complete QA cycle with regression scanning"
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$team-quality-assurance -y "QA all changed files since last commit"
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$team-quality-assurance --continue "qa-auth-module-20260308"
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```
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**Flags**:
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- `-y, --yes`: Skip all confirmations (auto mode)
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- `-c, --concurrency N`: Max concurrent agents within each wave (default: 3)
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- `--continue`: Resume existing session
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- `--mode=discovery|testing|full`: Force QA mode (default: auto-detect or full)
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**Output Directory**: `.workflow/.csv-wave/{session-id}/`
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**Core Output**: `tasks.csv` (master state) + `results.csv` (final) + `discoveries.ndjson` (shared exploration) + `context.md` (human-readable report)
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---
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## Overview
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Orchestrate multi-agent QA pipeline: scout -> strategist -> generator -> executor -> analyst. Supports three modes: **discovery** (issue scanning), **testing** (progressive test coverage), and **full** (closed-loop QA with regression). Multi-perspective scanning from bug, security, test-coverage, code-quality, and UX viewpoints. Progressive layer coverage (L1/L2/L3) with Generator-Critic loops for coverage convergence.
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**Execution Model**: Hybrid -- CSV wave pipeline (primary) + individual agent spawn (secondary)
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```
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+-------------------------------------------------------------------+
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| TEAM QUALITY ASSURANCE WORKFLOW |
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+-------------------------------------------------------------------+
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| |
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| Phase 0: Pre-Wave Interactive (Requirement Clarification) |
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| +- Parse task description, detect QA mode |
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| +- Mode selection (discovery/testing/full) |
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| +- Output: refined requirements for decomposition |
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| |
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| Phase 1: Requirement -> CSV + Classification |
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| +- Select pipeline based on QA mode |
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| +- Build dependency chain with appropriate roles |
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| +- Classify tasks: csv-wave | interactive (exec_mode) |
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| +- Compute dependency waves (topological sort) |
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| +- Generate tasks.csv with wave + exec_mode columns |
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| +- User validates task breakdown (skip if -y) |
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| |
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| Phase 2: Wave Execution Engine (Extended) |
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| +- For each wave (1..N): |
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| | +- Execute pre-wave interactive tasks (if any) |
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| | +- Build wave CSV (filter csv-wave tasks for this wave) |
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| | +- Inject previous findings into prev_context column |
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| | +- spawn_agents_on_csv(wave CSV) |
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| | +- Execute post-wave interactive tasks (if any) |
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| | +- Merge all results into master tasks.csv |
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| | +- GC Loop Check: coverage < target? -> spawn fix tasks |
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| | +- Check: any failed? -> skip dependents |
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| +- discoveries.ndjson shared across all modes (append-only) |
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| |
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| Phase 3: Post-Wave Interactive (Completion Action) |
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| +- Pipeline completion report with quality score |
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| +- Interactive completion choice (Archive/Keep/Export) |
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| +- Final aggregation / report |
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| |
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| Phase 4: Results Aggregation |
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| +- Export final results.csv |
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| +- Generate context.md with all findings |
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| +- Display summary: completed/failed/skipped per wave |
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| +- Offer: view results | retry failed | done |
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+-------------------------------------------------------------------+
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```
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---
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## Task Classification Rules
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Each task is classified by `exec_mode`:
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| exec_mode | Mechanism | Criteria |
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|-----------|-----------|----------|
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| `csv-wave` | `spawn_agents_on_csv` | One-shot, structured I/O, no multi-round interaction |
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| `interactive` | `spawn_agent`/`wait`/`send_input`/`close_agent` | Multi-round, needs iterative fix-verify cycles |
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**Classification Decision**:
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| Task Property | Classification |
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|---------------|---------------|
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| Multi-perspective code scanning (scout) | `csv-wave` |
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| Strategy formulation (single-pass analysis) | `csv-wave` |
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| Test generation (single-pass code creation) | `csv-wave` |
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| Test execution with auto-fix cycle | `interactive` |
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| Quality analysis (single-pass report) | `csv-wave` |
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| GC loop fix-verify iteration | `interactive` |
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| Regression scanning (post-fix) | `csv-wave` |
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---
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## CSV Schema
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### tasks.csv (Master State)
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```csv
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id,title,description,role,perspective,layer,coverage_target,deps,context_from,exec_mode,wave,status,findings,issues_found,pass_rate,coverage_achieved,test_files,quality_score,error
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"SCOUT-001","Multi-perspective code scan","Scan codebase from bug, security, test-coverage, code-quality perspectives. Produce severity-ranked findings with file:line references.","scout","bug;security;test-coverage;code-quality","","","","","csv-wave","1","pending","","","","","","",""
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"QASTRAT-001","Test strategy formulation","Analyze scout findings and code changes. Determine test layers, define coverage targets, generate test strategy document.","strategist","","","","SCOUT-001","SCOUT-001","csv-wave","2","pending","","","","","","",""
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"QAGEN-L1-001","Generate L1 unit tests","Generate L1 unit tests based on strategy. Cover priority files, include happy path, edge cases, error handling.","generator","","L1","80","QASTRAT-001","QASTRAT-001","csv-wave","3","pending","","","","","","",""
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```
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**Columns**:
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| Column | Phase | Description |
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|--------|-------|-------------|
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| `id` | Input | Unique task identifier (PREFIX-NNN format) |
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| `title` | Input | Short task title |
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| `description` | Input | Detailed task description (self-contained) |
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| `role` | Input | Worker role: `scout`, `strategist`, `generator`, `executor`, `analyst` |
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| `perspective` | Input | Scan perspectives (semicolon-separated, scout only) |
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| `layer` | Input | Test layer: `L1`, `L2`, `L3`, or empty for non-layer tasks |
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| `coverage_target` | Input | Target coverage percentage for this layer (empty if N/A) |
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| `deps` | Input | Semicolon-separated dependency task IDs |
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| `context_from` | Input | Semicolon-separated task IDs whose findings this task needs |
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| `exec_mode` | Input | `csv-wave` or `interactive` |
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| `wave` | Computed | Wave number (computed by topological sort, 1-based) |
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| `status` | Output | `pending` -> `completed` / `failed` / `skipped` |
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| `findings` | Output | Key discoveries or implementation notes (max 500 chars) |
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| `issues_found` | Output | Count of issues discovered (scout/analyst) |
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| `pass_rate` | Output | Test pass rate as decimal (executor only) |
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| `coverage_achieved` | Output | Actual coverage percentage achieved (executor only) |
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| `test_files` | Output | Semicolon-separated paths of test files (generator only) |
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| `quality_score` | Output | Quality score 0-100 (analyst only) |
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| `error` | Output | Error message if failed (empty if success) |
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### Per-Wave CSV (Temporary)
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Each wave generates a temporary `wave-{N}.csv` with extra `prev_context` column (csv-wave tasks only).
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---
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## Agent Registry (Interactive Agents)
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| Agent | Role File | Pattern | Responsibility | Position |
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|-------|-----------|---------|----------------|----------|
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| Test Executor | agents/executor.md | 2.3 (send_input cycle) | Execute tests with iterative fix cycle, report pass rate and coverage | per-wave |
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| GC Loop Handler | agents/gc-loop-handler.md | 2.3 (send_input cycle) | Manage Generator-Critic loop: evaluate coverage, trigger fix rounds | post-wave |
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> **COMPACT PROTECTION**: Agent files are execution documents. When context compression occurs, **you MUST immediately `Read` the corresponding agent.md** to reload.
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---
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## Output Artifacts
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| File | Purpose | Lifecycle |
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|------|---------|-----------|
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| `tasks.csv` | Master state -- all tasks with status/findings | Updated after each wave |
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| `wave-{N}.csv` | Per-wave input (temporary, csv-wave tasks only) | Created before wave, deleted after |
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| `results.csv` | Final export of all task results | Created in Phase 4 |
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| `discoveries.ndjson` | Shared exploration board (all agents, both modes) | Append-only, carries across waves |
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| `context.md` | Human-readable execution report | Created in Phase 4 |
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| `scan/scan-results.json` | Scout output: multi-perspective scan results | Created in scout wave |
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| `strategy/test-strategy.md` | Strategist output: test strategy document | Created in strategy wave |
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| `tests/L1-unit/` | Generator output: L1 unit test files | Created in L1 wave |
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| `tests/L2-integration/` | Generator output: L2 integration test files | Created in L2 wave |
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| `tests/L3-e2e/` | Generator output: L3 E2E test files | Created in L3 wave |
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| `results/run-{layer}.json` | Executor output: per-layer test results | Created per execution |
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| `analysis/quality-report.md` | Analyst output: quality analysis report | Created in final wave |
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| `interactive/{id}-result.json` | Results from interactive tasks | Created per interactive task |
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---
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## Session Structure
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```
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.workflow/.csv-wave/{session-id}/
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+-- tasks.csv # Master state (all tasks, both modes)
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+-- results.csv # Final results export
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+-- discoveries.ndjson # Shared discovery board (all agents)
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+-- context.md # Human-readable report
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+-- wave-{N}.csv # Temporary per-wave input (csv-wave only)
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+-- scan/ # Scout output
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| +-- scan-results.json
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+-- strategy/ # Strategist output
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| +-- test-strategy.md
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+-- tests/ # Generator output
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| +-- L1-unit/
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| +-- L2-integration/
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| +-- L3-e2e/
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+-- results/ # Executor output
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| +-- run-L1.json
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| +-- run-L2.json
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+-- analysis/ # Analyst output
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| +-- quality-report.md
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+-- wisdom/ # Cross-task knowledge
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| +-- learnings.md
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| +-- conventions.md
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| +-- decisions.md
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| +-- issues.md
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+-- interactive/ # Interactive task artifacts
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| +-- {id}-result.json
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+-- gc-state.json # GC loop tracking state
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```
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---
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## Implementation
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### Session Initialization
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```javascript
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const getUtc8ISOString = () => new Date(Date.now() + 8 * 60 * 60 * 1000).toISOString()
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const AUTO_YES = $ARGUMENTS.includes('--yes') || $ARGUMENTS.includes('-y')
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const continueMode = $ARGUMENTS.includes('--continue')
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const concurrencyMatch = $ARGUMENTS.match(/(?:--concurrency|-c)\s+(\d+)/)
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const maxConcurrency = concurrencyMatch ? parseInt(concurrencyMatch[1]) : 3
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// Parse QA mode flag
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const modeMatch = $ARGUMENTS.match(/--mode=(\w+)/)
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const explicitMode = modeMatch ? modeMatch[1] : null
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const requirement = $ARGUMENTS
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.replace(/--yes|-y|--continue|--concurrency\s+\d+|-c\s+\d+|--mode=\w+/g, '')
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.trim()
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const slug = requirement.toLowerCase()
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.replace(/[^a-z0-9\u4e00-\u9fa5]+/g, '-')
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.substring(0, 40)
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const dateStr = getUtc8ISOString().substring(0, 10).replace(/-/g, '')
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const sessionId = `qa-${slug}-${dateStr}`
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const sessionFolder = `.workflow/.csv-wave/${sessionId}`
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Bash(`mkdir -p ${sessionFolder}/scan ${sessionFolder}/strategy ${sessionFolder}/tests/L1-unit ${sessionFolder}/tests/L2-integration ${sessionFolder}/tests/L3-e2e ${sessionFolder}/results ${sessionFolder}/analysis ${sessionFolder}/wisdom ${sessionFolder}/interactive`)
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// Initialize discoveries.ndjson
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Write(`${sessionFolder}/discoveries.ndjson`, '')
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// Initialize wisdom files
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Write(`${sessionFolder}/wisdom/learnings.md`, '# Learnings\n')
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Write(`${sessionFolder}/wisdom/conventions.md`, '# Conventions\n')
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Write(`${sessionFolder}/wisdom/decisions.md`, '# Decisions\n')
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Write(`${sessionFolder}/wisdom/issues.md`, '# Issues\n')
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// Initialize GC state
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Write(`${sessionFolder}/gc-state.json`, JSON.stringify({
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rounds: {}, coverage_history: [], max_rounds_per_layer: 3
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}, null, 2))
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```
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---
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### Phase 0: Pre-Wave Interactive (Requirement Clarification)
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**Objective**: Parse task description, detect QA mode, prepare for decomposition.
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**Workflow**:
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1. **Parse user task description** from $ARGUMENTS
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2. **Check for existing sessions** (continue mode):
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- Scan `.workflow/.csv-wave/qa-*/tasks.csv` for sessions with pending tasks
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- If `--continue`: resume the specified or most recent session, skip to Phase 2
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- If active session found: ask user whether to resume or start new
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3. **QA Mode Selection**:
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| Condition | Mode | Description |
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|-----------|------|-------------|
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| Explicit `--mode=discovery` | discovery | Scout-first: issue discovery then testing |
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| Explicit `--mode=testing` | testing | Skip scout, direct test pipeline |
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| Explicit `--mode=full` | full | Complete QA closed loop + regression scan |
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| Keywords: discovery, scan, issue, audit | discovery | Auto-detected discovery mode |
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| Keywords: test, coverage, TDD, verify | testing | Auto-detected testing mode |
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| No explicit flag and no keyword match | full | Default to full QA |
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4. **Clarify if ambiguous** (skip if AUTO_YES):
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```javascript
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AskUserQuestion({
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questions: [{
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question: "Detected QA mode: '" + qaMode + "'. Confirm?",
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header: "QA Mode Selection",
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multiSelect: false,
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options: [
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{ label: "Proceed with " + qaMode, description: "Detected mode is appropriate" },
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{ label: "Use discovery", description: "Scout-first: scan for issues, then test" },
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{ label: "Use testing", description: "Direct testing pipeline (skip scout)" },
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{ label: "Use full", description: "Complete QA closed loop with regression" }
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]
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}]
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})
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```
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5. **Output**: Refined requirement, QA mode, scope
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**Success Criteria**:
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- QA mode selected
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- Refined requirements available for Phase 1 decomposition
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---
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### Phase 1: Requirement -> CSV + Classification
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**Objective**: Decompose QA task into dependency-ordered CSV tasks based on selected mode.
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**Decomposition Rules**:
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1. **Select pipeline based on QA mode**:
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| Mode | Pipeline |
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|------|----------|
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| discovery | SCOUT-001 -> QASTRAT-001 -> QAGEN-001 -> QARUN-001 -> QAANA-001 |
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| testing | QASTRAT-001 -> QAGEN-L1-001 -> QARUN-L1-001 -> QAGEN-L2-001 -> QARUN-L2-001 -> QAANA-001 |
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| full | SCOUT-001 -> QASTRAT-001 -> [QAGEN-L1-001, QAGEN-L2-001] -> [QARUN-L1-001, QARUN-L2-001] -> QAANA-001 -> SCOUT-002 |
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2. **Assign roles, layers, perspectives, and coverage targets** per task
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3. **Assign exec_mode**:
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- Scout, Strategist, Generator, Analyst tasks: `csv-wave` (single-pass)
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- Executor tasks: `interactive` (iterative fix cycle)
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**Classification Rules**:
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| Task Property | exec_mode |
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|---------------|-----------|
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| Multi-perspective scanning (single-pass) | `csv-wave` |
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| Strategy analysis (single-pass read + write) | `csv-wave` |
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| Test code generation (single-pass write) | `csv-wave` |
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| Test execution with fix loop (multi-round) | `interactive` |
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| Quality analysis (single-pass read + write) | `csv-wave` |
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| Regression scanning (single-pass) | `csv-wave` |
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**Wave Computation**: Kahn's BFS topological sort with depth tracking.
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**User Validation**: Display task breakdown with wave + exec_mode + role assignment (skip if AUTO_YES).
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**Success Criteria**:
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- tasks.csv created with valid schema, wave, and exec_mode assignments
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- No circular dependencies
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- User approved (or AUTO_YES)
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---
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### Phase 2: Wave Execution Engine (Extended)
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**Objective**: Execute tasks wave-by-wave with hybrid mechanism support, GC loop handling, and cross-wave context propagation.
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```javascript
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const masterCsv = Read(`${sessionFolder}/tasks.csv`)
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let tasks = parseCsv(masterCsv)
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const maxWave = Math.max(...tasks.map(t => t.wave))
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for (let wave = 1; wave <= maxWave; wave++) {
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console.log(`\nWave ${wave}/${maxWave}`)
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// 1. Separate tasks by exec_mode
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const waveTasks = tasks.filter(t => t.wave === wave && t.status === 'pending')
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const csvTasks = waveTasks.filter(t => t.exec_mode === 'csv-wave')
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const interactiveTasks = waveTasks.filter(t => t.exec_mode === 'interactive')
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// 2. Check dependencies -- skip tasks whose deps failed
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for (const task of waveTasks) {
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const depIds = (task.deps || '').split(';').filter(Boolean)
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const depStatuses = depIds.map(id => tasks.find(t => t.id === id)?.status)
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if (depStatuses.some(s => s === 'failed' || s === 'skipped')) {
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task.status = 'skipped'
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task.error = `Dependency failed: ${depIds.filter((id, i) =>
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['failed','skipped'].includes(depStatuses[i])).join(', ')}`
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}
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}
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// 3. Execute csv-wave tasks
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const pendingCsvTasks = csvTasks.filter(t => t.status === 'pending')
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if (pendingCsvTasks.length > 0) {
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for (const task of pendingCsvTasks) {
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task.prev_context = buildPrevContext(task, tasks)
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}
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Write(`${sessionFolder}/wave-${wave}.csv`, toCsv(pendingCsvTasks))
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// Read instruction template
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Read(`instructions/agent-instruction.md`)
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// Build instruction with session folder baked in
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const instruction = buildQAInstruction(sessionFolder, wave)
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spawn_agents_on_csv({
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csv_path: `${sessionFolder}/wave-${wave}.csv`,
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id_column: "id",
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instruction: instruction,
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max_concurrency: maxConcurrency,
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max_runtime_seconds: 900,
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output_csv_path: `${sessionFolder}/wave-${wave}-results.csv`,
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output_schema: {
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type: "object",
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properties: {
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id: { type: "string" },
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status: { type: "string", enum: ["completed", "failed"] },
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findings: { type: "string" },
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issues_found: { type: "string" },
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pass_rate: { type: "string" },
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coverage_achieved: { type: "string" },
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test_files: { type: "string" },
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quality_score: { type: "string" },
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error: { type: "string" }
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}
|
|
}
|
|
})
|
|
|
|
// Merge results
|
|
const results = parseCsv(Read(`${sessionFolder}/wave-${wave}-results.csv`))
|
|
for (const r of results) {
|
|
const t = tasks.find(t => t.id === r.id)
|
|
if (t) Object.assign(t, r)
|
|
}
|
|
}
|
|
|
|
// 4. Execute interactive tasks (executor with fix cycle)
|
|
const pendingInteractive = interactiveTasks.filter(t => t.status === 'pending')
|
|
for (const task of pendingInteractive) {
|
|
Read(`agents/executor.md`)
|
|
|
|
const prevContext = buildPrevContext(task, tasks)
|
|
const agent = spawn_agent({
|
|
message: `## TASK ASSIGNMENT\n\n### MANDATORY FIRST STEPS\n1. Read: agents/executor.md\n2. Read: ${sessionFolder}/discoveries.ndjson\n3. Read: .workflow/project-tech.json (if exists)\n\n---\n\nGoal: ${task.description}\nLayer: ${task.layer}\nCoverage Target: ${task.coverage_target}%\nSession: ${sessionFolder}\n\n### Previous Context\n${prevContext}`
|
|
})
|
|
const result = wait({ ids: [agent], timeout_ms: 900000 })
|
|
if (result.timed_out) {
|
|
send_input({ id: agent, message: "Please finalize current test results and report." })
|
|
wait({ ids: [agent], timeout_ms: 120000 })
|
|
}
|
|
Write(`${sessionFolder}/interactive/${task.id}-result.json`, JSON.stringify({
|
|
task_id: task.id, status: "completed", findings: parseFindings(result),
|
|
timestamp: getUtc8ISOString()
|
|
}))
|
|
close_agent({ id: agent })
|
|
task.status = result.success ? 'completed' : 'failed'
|
|
task.findings = parseFindings(result)
|
|
}
|
|
|
|
// 5. GC Loop Check (after executor completes)
|
|
for (const task of pendingInteractive.filter(t => t.role === 'executor')) {
|
|
const gcState = JSON.parse(Read(`${sessionFolder}/gc-state.json`))
|
|
const layer = task.layer
|
|
const rounds = gcState.rounds[layer] || 0
|
|
const coverageAchieved = parseFloat(task.coverage_achieved || '0')
|
|
const coverageTarget = parseFloat(task.coverage_target || '80')
|
|
const passRate = parseFloat(task.pass_rate || '0')
|
|
|
|
if (coverageAchieved < coverageTarget && passRate < 0.95 && rounds < 3) {
|
|
gcState.rounds[layer] = rounds + 1
|
|
Write(`${sessionFolder}/gc-state.json`, JSON.stringify(gcState, null, 2))
|
|
|
|
Read(`agents/gc-loop-handler.md`)
|
|
const gcAgent = spawn_agent({
|
|
message: `## GC LOOP ROUND ${rounds + 1}\n\n### MANDATORY FIRST STEPS\n1. Read: agents/gc-loop-handler.md\n2. Read: ${sessionFolder}/discoveries.ndjson\n\nLayer: ${layer}\nRound: ${rounds + 1}/3\nCurrent Coverage: ${coverageAchieved}%\nTarget: ${coverageTarget}%\nPass Rate: ${passRate}\nSession: ${sessionFolder}\nPrevious Results: ${sessionFolder}/results/run-${layer}.json\nTest Directory: ${sessionFolder}/tests/${layer === 'L1' ? 'L1-unit' : layer === 'L2' ? 'L2-integration' : 'L3-e2e'}/`
|
|
})
|
|
const gcResult = wait({ ids: [gcAgent], timeout_ms: 900000 })
|
|
close_agent({ id: gcAgent })
|
|
}
|
|
}
|
|
|
|
// 6. Update master CSV
|
|
Write(`${sessionFolder}/tasks.csv`, toCsv(tasks))
|
|
|
|
// 7. Cleanup temp files
|
|
Bash(`rm -f ${sessionFolder}/wave-${wave}.csv ${sessionFolder}/wave-${wave}-results.csv`)
|
|
|
|
// 8. Display wave summary
|
|
const completed = waveTasks.filter(t => t.status === 'completed').length
|
|
const failed = waveTasks.filter(t => t.status === 'failed').length
|
|
const skipped = waveTasks.filter(t => t.status === 'skipped').length
|
|
console.log(`Wave ${wave} Complete: ${completed} completed, ${failed} failed, ${skipped} skipped`)
|
|
}
|
|
```
|
|
|
|
**Success Criteria**:
|
|
- All waves executed in order
|
|
- Both csv-wave and interactive tasks handled per wave
|
|
- Each wave's results merged into master CSV before next wave starts
|
|
- GC loops triggered when coverage below target (max 3 rounds per layer)
|
|
- Dependent tasks skipped when predecessor failed
|
|
- discoveries.ndjson accumulated across all waves and mechanisms
|
|
|
|
---
|
|
|
|
### Phase 3: Post-Wave Interactive (Completion Action)
|
|
|
|
**Objective**: Pipeline completion report with quality score and interactive completion choice.
|
|
|
|
```javascript
|
|
const tasks = parseCsv(Read(`${sessionFolder}/tasks.csv`))
|
|
const completed = tasks.filter(t => t.status === 'completed')
|
|
const failed = tasks.filter(t => t.status === 'failed')
|
|
|
|
// Quality score from analyst
|
|
const analystTask = tasks.find(t => t.role === 'analyst' && t.status === 'completed')
|
|
const qualityScore = analystTask?.quality_score || 'N/A'
|
|
|
|
// Scout issues count
|
|
const scoutTasks = tasks.filter(t => t.role === 'scout' && t.status === 'completed')
|
|
const totalIssues = scoutTasks.reduce((sum, t) => sum + parseInt(t.issues_found || '0'), 0)
|
|
|
|
// Coverage summary per layer
|
|
const layerSummary = ['L1', 'L2', 'L3'].map(layer => {
|
|
const execTask = tasks.find(t => t.role === 'executor' && t.layer === layer && t.status === 'completed')
|
|
return execTask ? ` ${layer}: ${execTask.coverage_achieved}% coverage, ${execTask.pass_rate} pass rate` : null
|
|
}).filter(Boolean).join('\n')
|
|
|
|
console.log(`
|
|
============================================
|
|
QA PIPELINE COMPLETE
|
|
|
|
Quality Score: ${qualityScore}/100
|
|
Issues Discovered: ${totalIssues}
|
|
|
|
Deliverables:
|
|
${completed.map(t => ` - ${t.id}: ${t.title} (${t.role})`).join('\n')}
|
|
|
|
Coverage:
|
|
${layerSummary}
|
|
|
|
Pipeline: ${completed.length}/${tasks.length} tasks
|
|
Session: ${sessionFolder}
|
|
============================================
|
|
`)
|
|
|
|
if (!AUTO_YES) {
|
|
AskUserQuestion({
|
|
questions: [{
|
|
question: "Quality Assurance pipeline complete. What would you like to do?",
|
|
header: "Completion",
|
|
multiSelect: false,
|
|
options: [
|
|
{ label: "Archive & Clean (Recommended)", description: "Archive session, output final summary" },
|
|
{ label: "Keep Active", description: "Keep session for follow-up work" },
|
|
{ label: "Export Results", description: "Export deliverables to target directory" }
|
|
]
|
|
}]
|
|
})
|
|
}
|
|
```
|
|
|
|
**Success Criteria**:
|
|
- Post-wave interactive processing complete
|
|
- Quality score and coverage metrics displayed
|
|
- User informed of results
|
|
|
|
---
|
|
|
|
### Phase 4: Results Aggregation
|
|
|
|
**Objective**: Generate final results and human-readable report.
|
|
|
|
```javascript
|
|
// 1. Export results.csv
|
|
Bash(`cp ${sessionFolder}/tasks.csv ${sessionFolder}/results.csv`)
|
|
|
|
// 2. Generate context.md
|
|
const tasks = parseCsv(Read(`${sessionFolder}/tasks.csv`))
|
|
const gcState = JSON.parse(Read(`${sessionFolder}/gc-state.json`))
|
|
const analystTask = tasks.find(t => t.role === 'analyst' && t.status === 'completed')
|
|
|
|
let contextMd = `# Team Quality Assurance Report\n\n`
|
|
contextMd += `**Session**: ${sessionId}\n`
|
|
contextMd += `**Date**: ${getUtc8ISOString().substring(0, 10)}\n`
|
|
contextMd += `**QA Mode**: ${explicitMode || 'full'}\n`
|
|
contextMd += `**Quality Score**: ${analystTask?.quality_score || 'N/A'}/100\n\n`
|
|
|
|
contextMd += `## Summary\n`
|
|
contextMd += `| Status | Count |\n|--------|-------|\n`
|
|
contextMd += `| Completed | ${tasks.filter(t => t.status === 'completed').length} |\n`
|
|
contextMd += `| Failed | ${tasks.filter(t => t.status === 'failed').length} |\n`
|
|
contextMd += `| Skipped | ${tasks.filter(t => t.status === 'skipped').length} |\n\n`
|
|
|
|
// Scout findings
|
|
const scoutTasks = tasks.filter(t => t.role === 'scout' && t.status === 'completed')
|
|
if (scoutTasks.length > 0) {
|
|
contextMd += `## Scout Findings\n\n`
|
|
for (const t of scoutTasks) {
|
|
contextMd += `**${t.title}**: ${t.issues_found || 0} issues found\n${t.findings || ''}\n\n`
|
|
}
|
|
}
|
|
|
|
// Coverage results
|
|
contextMd += `## Coverage Results\n\n`
|
|
contextMd += `| Layer | Coverage | Target | Pass Rate | GC Rounds |\n`
|
|
contextMd += `|-------|----------|--------|-----------|----------|\n`
|
|
for (const layer of ['L1', 'L2', 'L3']) {
|
|
const execTask = tasks.find(t => t.role === 'executor' && t.layer === layer)
|
|
if (execTask) {
|
|
contextMd += `| ${layer} | ${execTask.coverage_achieved || 'N/A'}% | ${execTask.coverage_target}% | ${execTask.pass_rate || 'N/A'} | ${gcState.rounds[layer] || 0} |\n`
|
|
}
|
|
}
|
|
contextMd += '\n'
|
|
|
|
// Wave execution details
|
|
const maxWave = Math.max(...tasks.map(t => t.wave))
|
|
contextMd += `## Wave Execution\n\n`
|
|
for (let w = 1; w <= maxWave; w++) {
|
|
const waveTasks = tasks.filter(t => t.wave === w)
|
|
contextMd += `### Wave ${w}\n\n`
|
|
for (const t of waveTasks) {
|
|
const icon = t.status === 'completed' ? '[DONE]' : t.status === 'failed' ? '[FAIL]' : '[SKIP]'
|
|
contextMd += `${icon} **${t.title}** [${t.role}/${t.layer || '-'}] ${t.findings || ''}\n\n`
|
|
}
|
|
}
|
|
|
|
Write(`${sessionFolder}/context.md`, contextMd)
|
|
|
|
console.log(`Results exported to: ${sessionFolder}/results.csv`)
|
|
console.log(`Report generated at: ${sessionFolder}/context.md`)
|
|
```
|
|
|
|
**Success Criteria**:
|
|
- results.csv exported (all tasks, both modes)
|
|
- context.md generated with quality score, scout findings, and coverage breakdown
|
|
- Summary displayed to user
|
|
|
|
---
|
|
|
|
## Shared Discovery Board Protocol
|
|
|
|
All agents (csv-wave and interactive) share a single `discoveries.ndjson` file for cross-task knowledge exchange.
|
|
|
|
**Format**: One JSON object per line (NDJSON):
|
|
|
|
```jsonl
|
|
{"ts":"2026-03-08T10:00:00Z","worker":"SCOUT-001","type":"issue_found","data":{"file":"src/auth.ts","line":42,"severity":"high","perspective":"security","description":"Hardcoded secret key in auth module"}}
|
|
{"ts":"2026-03-08T10:05:00Z","worker":"QASTRAT-001","type":"framework_detected","data":{"framework":"vitest","config_file":"vitest.config.ts","test_pattern":"**/*.test.ts"}}
|
|
{"ts":"2026-03-08T10:10:00Z","worker":"QAGEN-L1-001","type":"test_generated","data":{"file":"tests/L1-unit/auth.test.ts","source_file":"src/auth.ts","test_count":8}}
|
|
{"ts":"2026-03-08T10:15:00Z","worker":"QARUN-L1-001","type":"defect_found","data":{"file":"src/auth.ts","line":42,"pattern":"null_reference","description":"Missing null check on token payload"}}
|
|
```
|
|
|
|
**Discovery Types**:
|
|
|
|
| Type | Data Schema | Description |
|
|
|------|-------------|-------------|
|
|
| `issue_found` | `{file, line, severity, perspective, description}` | Issue discovered by scout |
|
|
| `framework_detected` | `{framework, config_file, test_pattern}` | Test framework identified |
|
|
| `test_generated` | `{file, source_file, test_count}` | Test file created |
|
|
| `defect_found` | `{file, line, pattern, description}` | Defect pattern discovered during testing |
|
|
| `coverage_gap` | `{file, current, target, gap}` | Coverage gap identified |
|
|
| `convention_found` | `{pattern, example_file, description}` | Test convention detected |
|
|
| `fix_applied` | `{test_file, fix_type, description}` | Test fix during GC loop |
|
|
| `quality_metric` | `{dimension, score, details}` | Quality dimension score |
|
|
|
|
**Protocol**:
|
|
1. Agents MUST read discoveries.ndjson at start of execution
|
|
2. Agents MUST append relevant discoveries during execution
|
|
3. Agents MUST NOT modify or delete existing entries
|
|
4. Deduplication by `{type, data.file, data.line}` key (where applicable)
|
|
|
|
---
|
|
|
|
## Pipeline Definitions
|
|
|
|
### Discovery Mode (5 tasks, serial)
|
|
|
|
```
|
|
SCOUT-001 -> QASTRAT-001 -> QAGEN-001 -> QARUN-001 -> QAANA-001
|
|
```
|
|
|
|
| Task ID | Role | Layer | Wave | exec_mode |
|
|
|---------|------|-------|------|-----------|
|
|
| SCOUT-001 | scout | - | 1 | csv-wave |
|
|
| QASTRAT-001 | strategist | - | 2 | csv-wave |
|
|
| QAGEN-001 | generator | L1 | 3 | csv-wave |
|
|
| QARUN-001 | executor | L1 | 4 | interactive |
|
|
| QAANA-001 | analyst | - | 5 | csv-wave |
|
|
|
|
### Testing Mode (6 tasks, progressive layers)
|
|
|
|
```
|
|
QASTRAT-001 -> QAGEN-L1-001 -> QARUN-L1-001 -> QAGEN-L2-001 -> QARUN-L2-001 -> QAANA-001
|
|
```
|
|
|
|
| Task ID | Role | Layer | Wave | exec_mode |
|
|
|---------|------|-------|------|-----------|
|
|
| QASTRAT-001 | strategist | - | 1 | csv-wave |
|
|
| QAGEN-L1-001 | generator | L1 | 2 | csv-wave |
|
|
| QARUN-L1-001 | executor | L1 | 3 | interactive |
|
|
| QAGEN-L2-001 | generator | L2 | 4 | csv-wave |
|
|
| QARUN-L2-001 | executor | L2 | 5 | interactive |
|
|
| QAANA-001 | analyst | - | 6 | csv-wave |
|
|
|
|
### Full Mode (8 tasks, parallel windows + regression)
|
|
|
|
```
|
|
SCOUT-001 -> QASTRAT-001 -> [QAGEN-L1-001 // QAGEN-L2-001] -> [QARUN-L1-001 // QARUN-L2-001] -> QAANA-001 -> SCOUT-002
|
|
```
|
|
|
|
| Task ID | Role | Layer | Wave | exec_mode |
|
|
|---------|------|-------|------|-----------|
|
|
| SCOUT-001 | scout | - | 1 | csv-wave |
|
|
| QASTRAT-001 | strategist | - | 2 | csv-wave |
|
|
| QAGEN-L1-001 | generator | L1 | 3 | csv-wave |
|
|
| QAGEN-L2-001 | generator | L2 | 3 | csv-wave |
|
|
| QARUN-L1-001 | executor | L1 | 4 | interactive |
|
|
| QARUN-L2-001 | executor | L2 | 4 | interactive |
|
|
| QAANA-001 | analyst | - | 5 | csv-wave |
|
|
| SCOUT-002 | scout | - | 6 | csv-wave |
|
|
|
|
---
|
|
|
|
## GC Loop (Generator-Critic)
|
|
|
|
Generator and executor iterate per test layer until coverage converges:
|
|
|
|
```
|
|
QAGEN -> QARUN -> (if coverage < target) -> GC Loop Handler
|
|
(if coverage >= target) -> next wave
|
|
```
|
|
|
|
- Max iterations: 3 per layer
|
|
- After 3 iterations: accept current coverage with warning
|
|
- GC loop runs as interactive agent (gc-loop-handler.md) which internally generates fixes and re-runs tests
|
|
|
|
---
|
|
|
|
## Scan Perspectives (Scout)
|
|
|
|
| Perspective | Focus |
|
|
|-------------|-------|
|
|
| bug | Logic errors, crash paths, null references |
|
|
| security | Vulnerabilities, auth bypass, data exposure |
|
|
| test-coverage | Untested code paths, missing assertions |
|
|
| code-quality | Anti-patterns, complexity, maintainability |
|
|
| ux | User-facing issues, accessibility (optional, when task mentions UX/UI) |
|
|
|
|
---
|
|
|
|
## Error Handling
|
|
|
|
| Error | Resolution |
|
|
|-------|------------|
|
|
| Circular dependency | Detect in wave computation, abort with error message |
|
|
| CSV agent timeout | Mark as failed in results, continue with wave |
|
|
| CSV agent failed | Mark as failed, skip dependent tasks in later waves |
|
|
| Interactive agent timeout | Urge convergence via send_input, then close if still timed out |
|
|
| Interactive agent failed | Mark as failed, skip dependents |
|
|
| All agents in wave failed | Log error, offer retry or abort |
|
|
| CSV parse error | Validate CSV format before execution, show line number |
|
|
| discoveries.ndjson corrupt | Ignore malformed lines, continue with valid entries |
|
|
| Scout finds no issues | Report clean scan, proceed to testing (skip discovery-specific tasks) |
|
|
| GC loop exceeded (3 rounds) | Accept current coverage with warning, proceed to next layer |
|
|
| Test framework not detected | Default to Jest patterns |
|
|
| Coverage tool unavailable | Degrade to pass rate judgment |
|
|
| quality_score < 60 | Report with WARNING, suggest re-run with deeper coverage |
|
|
| Continue mode: no session found | List available sessions, prompt user to select |
|
|
|
|
---
|
|
|
|
## Core Rules
|
|
|
|
1. **Start Immediately**: First action is session initialization, then Phase 0/1
|
|
2. **Wave Order is Sacred**: Never execute wave N before wave N-1 completes and results are merged
|
|
3. **CSV is Source of Truth**: Master tasks.csv holds all state (both csv-wave and interactive)
|
|
4. **CSV First**: Default to csv-wave for tasks; only use interactive when multi-round interaction is required
|
|
5. **Context Propagation**: prev_context built from master CSV, not from memory
|
|
6. **Discovery Board is Append-Only**: Never clear, modify, or recreate discoveries.ndjson
|
|
7. **Skip on Failure**: If a dependency failed, skip the dependent task
|
|
8. **GC Loop Discipline**: Max 3 rounds per layer; never infinite-loop on coverage
|
|
9. **Scout Feeds Strategy**: Scout findings flow into strategist via prev_context and discoveries.ndjson
|
|
10. **Cleanup Temp Files**: Remove wave-{N}.csv after results are merged
|
|
11. **DO NOT STOP**: Continuous execution until all waves complete or all remaining tasks are skipped
|
|
|
|
|
|
---
|
|
|
|
## Coordinator Role Constraints (Main Agent)
|
|
|
|
**CRITICAL**: The coordinator (main agent executing this skill) is responsible for **orchestration only**, NOT implementation.
|
|
|
|
15. **Coordinator Does NOT Execute Code**: The main agent MUST NOT write, modify, or implement any code directly. All implementation work is delegated to spawned team agents. The coordinator only:
|
|
- Spawns agents with task assignments
|
|
- Waits for agent callbacks
|
|
- Merges results and coordinates workflow
|
|
- Manages workflow transitions between phases
|
|
|
|
16. **Patient Waiting is Mandatory**: Agent execution takes significant time (typically 10-30 minutes per phase, sometimes longer). The coordinator MUST:
|
|
- Wait patiently for `wait()` calls to complete
|
|
- NOT skip workflow steps due to perceived delays
|
|
- NOT assume agents have failed just because they're taking time
|
|
- Trust the timeout mechanisms defined in the skill
|
|
|
|
17. **Use send_input for Clarification**: When agents need guidance or appear stuck, the coordinator MUST:
|
|
- Use `send_input()` to ask questions or provide clarification
|
|
- NOT skip the agent or move to next phase prematurely
|
|
- Give agents opportunity to respond before escalating
|
|
- Example: `send_input({ id: agent_id, message: "Please provide status update or clarify blockers" })`
|
|
|
|
18. **No Workflow Shortcuts**: The coordinator MUST NOT:
|
|
- Skip phases or stages defined in the workflow
|
|
- Bypass required approval or review steps
|
|
- Execute dependent tasks before prerequisites complete
|
|
- Assume task completion without explicit agent callback
|
|
- Make up or fabricate agent results
|
|
|
|
19. **Respect Long-Running Processes**: This is a complex multi-agent workflow that requires patience:
|
|
- Total execution time may range from 30-90 minutes or longer
|
|
- Each phase may take 10-30 minutes depending on complexity
|
|
- The coordinator must remain active and attentive throughout the entire process
|
|
- Do not terminate or skip steps due to time concerns
|