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feat: add json_builder tool with schema-aware JSON construction and validation
Unified tool replacing manual schema reading (cat schema) across all agents and skills. Supports 5 commands: init (skeleton), set (incremental field setting with instant validation), validate (full structural + semantic), merge (dedup multiple JSONs), info (compact schema summary). Registers 24 schemas in schema-registry.ts. Updates all agent/skill/command files to use json_builder info/init/validate instead of cat schema references. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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@@ -5,6 +5,7 @@ description: |
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Orchestrates 4-phase workflow: Task Understanding → Analysis Execution → Schema Validation → Output Generation.
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Spawned by /explore command orchestrator.
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tools: Read, Bash, Glob, Grep
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# json_builder available via: ccw tool exec json_builder '{"cmd":"..."}' (Bash)
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color: yellow
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---
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@@ -66,9 +67,9 @@ Phase 4: Output Generation
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Store result as `project_structure` for module-aware file discovery in Phase 2.
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2. **Output Schema Loading** (if output file path specified in prompt):
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- Exploration output → `cat ~/.ccw/workflows/cli-templates/schemas/explore-json-schema.json`
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- Other schemas as specified in prompt
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Read and memorize schema requirements BEFORE any analysis begins (feeds Phase 3 validation).
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- Get schema summary: `ccw tool exec json_builder '{"cmd":"info","schema":"explore"}'` (or "diagnosis" for bug analysis)
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- Initialize output file: `ccw tool exec json_builder '{"cmd":"init","schema":"explore","output":"<output_path>"}'`
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- The tool returns requiredFields, arrayFields, and enumFields — memorize these for Phase 2.
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3. **Project Context Loading** (from spec system):
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- Load exploration specs using: `ccw spec load --category exploration`
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@@ -150,55 +151,56 @@ RULES: {from prompt, if template specified} | analysis=READ-ONLY
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---
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<schema_validation>
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## Phase 3: Schema Validation
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## Phase 3: Incremental Build & Validation (via json_builder)
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### CRITICAL: Schema Compliance Protocol
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**This phase replaces manual JSON writing + self-validation with tool-assisted construction.**
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**This phase is MANDATORY when schema file is specified in prompt.**
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**Step 1: Read Schema FIRST**
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```
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Read(schema_file_path)
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**Step 1: Set text fields** (discovered during Phase 2 analysis)
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```bash
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ccw tool exec json_builder '{"cmd":"set","target":"<output_path>","ops":[
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{"path":"project_structure","value":"..."},
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{"path":"patterns","value":"..."},
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{"path":"dependencies","value":"..."},
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{"path":"integration_points","value":"..."},
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{"path":"constraints","value":"..."}
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]}'
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```
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**Step 2: Extract Schema Requirements**
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**Step 2: Append file entries** (as discovered — one `set` per batch)
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```bash
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ccw tool exec json_builder '{"cmd":"set","target":"<output_path>","ops":[
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{"path":"relevant_files[+]","value":{"path":"src/auth.ts","relevance":0.9,"rationale":"Contains AuthService.login() entry point for JWT generation","role":"modify_target","discovery_source":"bash-scan","key_code":[{"symbol":"login()","location":"L45-78","description":"JWT token generation with bcrypt verification"}],"topic_relation":"Security target — JWT generation lacks token rotation"}},
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{"path":"relevant_files[+]","value":{...}}
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]}'
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```
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Parse and memorize:
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1. **Root structure** - Is it array `[...]` or object `{...}`?
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2. **Required fields** - List all `"required": [...]` arrays
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3. **Field names EXACTLY** - Copy character-by-character (case-sensitive)
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4. **Enum values** - Copy exact strings (e.g., `"critical"` not `"Critical"`)
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5. **Nested structures** - Note flat vs nested requirements
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The tool **automatically validates** each operation:
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- enum values (role, discovery_source) → rejects invalid
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- minLength (rationale >= 10) → rejects too short
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- type checking → rejects wrong types
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**Step 3: File Rationale Validation** (MANDATORY for relevant_files / affected_files)
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**Step 3: Set metadata**
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```bash
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ccw tool exec json_builder '{"cmd":"set","target":"<output_path>","ops":[
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{"path":"_metadata.timestamp","value":"auto"},
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{"path":"_metadata.task_description","value":"..."},
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{"path":"_metadata.source","value":"cli-explore-agent"},
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{"path":"_metadata.exploration_angle","value":"..."},
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{"path":"_metadata.exploration_index","value":1},
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{"path":"_metadata.total_explorations","value":2}
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]}'
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```
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Every file entry MUST have:
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- `rationale` (required, minLength 10): Specific reason tied to the exploration topic, NOT generic
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- GOOD: "Contains AuthService.login() which is the entry point for JWT token generation"
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- BAD: "Related to auth" or "Relevant file"
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- `role` (required, enum): Structural classification of why it was selected
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- `discovery_source` (optional but recommended): How the file was found
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- `key_code` (strongly recommended for relevance >= 0.7): Array of {symbol, location?, description}
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- GOOD: [{"symbol": "AuthService.login()", "location": "L45-L78", "description": "JWT token generation with bcrypt verification, returns token pair"}]
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- BAD: [{"symbol": "login", "description": "login function"}]
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- `topic_relation` (strongly recommended for relevance >= 0.7): Connection from exploration angle perspective
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- GOOD: "Security exploration targets this file because JWT generation lacks token rotation"
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- BAD: "Related to security"
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**Step 4: Final validation**
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```bash
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ccw tool exec json_builder '{"cmd":"validate","target":"<output_path>"}'
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```
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Returns `{valid, errors, warnings, stats}`. If errors exist → fix with `set` → re-validate.
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**Step 4: Pre-Output Validation Checklist**
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Before writing ANY JSON output, verify:
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- [ ] Root structure matches schema (array vs object)
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- [ ] ALL required fields present at each level
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- [ ] Field names EXACTLY match schema (character-by-character)
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- [ ] Enum values EXACTLY match schema (case-sensitive)
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- [ ] Nested structures follow schema pattern (flat vs nested)
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- [ ] Data types correct (string, integer, array, object)
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- [ ] Every file in relevant_files has: path + relevance + rationale + role
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- [ ] Every rationale is specific (>10 chars, not generic)
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- [ ] Files with relevance >= 0.7 have key_code with symbol + description (minLength 10)
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- [ ] Files with relevance >= 0.7 have topic_relation explaining connection to angle (minLength 15)
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**Quality reminders** (enforced by tool, but be aware):
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- `rationale`: Must be specific, not generic ("Related to auth" → rejected by semantic check)
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- `key_code`: Strongly recommended for relevance >= 0.7 (warnings if missing)
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- `topic_relation`: Strongly recommended for relevance >= 0.7 (warnings if missing)
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</schema_validation>
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---
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@@ -212,16 +214,12 @@ Brief summary:
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- Task completion status
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- Key findings summary
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- Generated file paths (if any)
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- Validation result (from Phase 3 Step 4)
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### File Output (as specified in prompt)
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### File Output
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**MANDATORY WORKFLOW**:
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1. `Read()` schema file BEFORE generating output
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2. Extract ALL field names from schema
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3. Build JSON using ONLY schema field names
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4. Validate against checklist before writing
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5. Write file with validated content
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File is already written by json_builder during Phase 3 (init + set operations).
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Phase 4 only verifies the final validation passed and returns the summary.
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</output_generation>
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---
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@@ -243,28 +241,19 @@ Brief summary:
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**ALWAYS**:
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1. **Search Tool Priority**: ACE (`mcp__ace-tool__search_context`) → CCW (`mcp__ccw-tools__smart_search`) / Built-in (`Grep`, `Glob`, `Read`)
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2. Read schema file FIRST before generating any output (if schema specified)
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3. Copy field names EXACTLY from schema (case-sensitive)
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4. Verify root structure matches schema (array vs object)
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5. Match nested/flat structures as schema requires
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6. Use exact enum values from schema (case-sensitive)
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7. Include ALL required fields at every level
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8. Include file:line references in findings
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9. **Every file MUST have rationale**: Specific selection basis tied to the topic (not generic)
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10. **Every file MUST have role**: Classify as modify_target/dependency/pattern_reference/test_target/type_definition/integration_point/config/context_only
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11. **Track discovery source**: Record how each file was found (bash-scan/cli-analysis/ace-search/dependency-trace/manual)
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12. **Populate key_code for high-relevance files**: relevance >= 0.7 → key_code array with symbol, location, description
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13. **Populate topic_relation for high-relevance files**: relevance >= 0.7 → topic_relation explaining file-to-angle connection
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2. **Use json_builder** for all JSON output: `init` → `set` (incremental) → `validate`
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3. Include file:line references in findings
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4. **Every file MUST have rationale + role** (enforced by json_builder set validation)
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5. **Track discovery source**: Record how each file was found (bash-scan/cli-analysis/ace-search/dependency-trace/manual)
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6. **Populate key_code + topic_relation for high-relevance files** (relevance >= 0.7; json_builder warns if missing)
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**Bash Tool**:
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- Use `run_in_background=false` for all Bash/CLI calls to ensure foreground execution
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**NEVER**:
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1. Modify any files (read-only agent)
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2. Skip schema reading step when schema is specified
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3. Guess field names - ALWAYS copy from schema
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4. Assume structure - ALWAYS verify against schema
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5. Omit required fields
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1. Modify any source code files (read-only agent — json_builder writes only output JSON)
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2. Hand-write JSON output — always use json_builder
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3. Skip the `validate` step before returning
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</operational_rules>
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<output_contract>
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@@ -282,11 +271,8 @@ When exploration is complete, return one of:
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Before returning, verify:
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- [ ] All 4 phases were executed (or skipped with justification)
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- [ ] Schema was read BEFORE output generation (if schema specified)
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- [ ] All field names match schema exactly (case-sensitive)
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- [ ] Every file entry has rationale (specific, >10 chars) and role
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- [ ] High-relevance files (>= 0.7) have key_code and topic_relation
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- [ ] json_builder `init` was called at start
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- [ ] json_builder `validate` returned `valid: true` (or all errors were fixed)
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- [ ] Discovery sources are tracked for all findings
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- [ ] No files were modified (read-only agent)
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- [ ] Output format matches schema root structure (array vs object)
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- [ ] No source code files were modified (read-only agent)
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</quality_gate>
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