feat: Add orchestrator template and roles for executor and planner

- Created a new orchestrator template for Codex skill design, detailing structure and execution phases.
- Introduced the executor role with responsibilities for task execution, including routing to backends and handling implementation.
- Added the planner role for requirement breakdown, issue creation, and task dispatching, ensuring a structured planning process.
This commit is contained in:
catlog22
2026-02-16 00:17:15 +08:00
parent dc03862ca7
commit a4fff6a591
36 changed files with 4168 additions and 2589 deletions

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# Phase 1: Requirements Analysis
Analyze input source and extract Codex skill configuration.
## Objective
- Parse input source (text / Claude skill / requirements doc / Codex prompt)
- Identify agents, phases, interaction patterns
- Determine output mode (structured package vs single prompt)
- Produce codexSkillConfig for downstream phases
## Pre-Requisites
Read specification documents based on input source:
- **Always**: Read `specs/codex-agent-patterns.md` for available patterns
- **Claude conversion**: Also read `specs/conversion-rules.md`
- **Quality reference**: Read `specs/quality-standards.md` for target criteria
## Execution
### Step 1.1: Input Source Detection
```javascript
// Determine input type from workflowPreferences
const inputSource = workflowPreferences.inputSource
if (inputSource.includes("Claude Skill")) {
// Read source Claude skill
const sourceSkillPath = AskUserQuestion({
questions: [{
question: "Path to the Claude skill to convert?",
header: "Skill Path",
multiSelect: false,
options: [
{ label: "Browse", description: "I'll provide the path" }
]
}]
})
// Read SKILL.md + phases/*.md from source
const skillContent = Read(sourceSkillPath)
const phaseFiles = Glob(`${sourceSkillDir}/phases/*.md`)
} else if (inputSource.includes("Text Description")) {
// Collect description via user interaction
} else if (inputSource.includes("Requirements Doc")) {
// Read requirements file
} else if (inputSource.includes("Existing Codex")) {
// Read existing Codex prompt for refactoring
}
```
### Step 1.2: Skill Structure Extraction
For each input type, extract:
**From Text Description**:
```javascript
const codexSkillConfig = {
name: extractSkillName(userDescription),
description: extractDescription(userDescription),
outputMode: workflowPreferences.outputMode,
agents: inferAgents(userDescription),
phases: inferPhases(userDescription),
parallelSplits: inferParallelism(userDescription),
interactionModel: inferInteractionModel(userDescription),
conversionSource: null
}
```
**From Claude Skill** (conversion):
```javascript
// Parse Claude SKILL.md
const claudeConfig = {
phases: extractPhases(skillContent),
agents: extractTaskCalls(skillContent), // Find Task() invocations
dataFlow: extractDataFlow(skillContent),
todoPattern: extractTodoPattern(skillContent),
resumePatterns: findResumePatterns(skillContent) // For send_input mapping
}
const codexSkillConfig = {
name: claudeConfig.name,
description: claudeConfig.description,
outputMode: workflowPreferences.outputMode,
agents: claudeConfig.agents.map(a => ({
name: a.subagent_type,
role_file: mapToCodexRolePath(a.subagent_type),
responsibility: a.description,
patterns: determinePatterns(a)
})),
phases: claudeConfig.phases.map(p => ({
name: p.name,
agents_involved: p.agentCalls.map(a => a.subagent_type),
interaction_model: hasResume(p) ? "deep_interaction" : "standard"
})),
parallelSplits: detectParallelPatterns(claudeConfig),
conversionSource: { type: "claude_skill", path: sourceSkillPath }
}
```
### Step 1.3: Agent Inventory Check
Verify agent roles exist in `~/.codex/agents/`:
```javascript
const existingAgents = Glob("~/.codex/agents/*.md")
const requiredAgents = codexSkillConfig.agents.map(a => a.role_file)
const missingAgents = requiredAgents.filter(r =>
!existingAgents.includes(r)
)
if (missingAgents.length > 0) {
// Mark as "needs new agent role definition"
codexSkillConfig.newAgentDefinitions = missingAgents
}
```
### Step 1.4: Interaction Model Selection
Based on agent relationships, select interaction patterns:
| Pattern | Condition | Result |
|---------|-----------|--------|
| **Standard** | Single agent, single task | `spawn → wait → close` |
| **Parallel Fan-out** | Multiple independent agents | `spawn[] → batch wait → close[]` |
| **Deep Interaction** | Multi-phase with context | `spawn → wait → send_input → wait → close` |
| **Two-Phase** | Needs clarification first | `spawn(clarify) → wait → send_input(answers) → wait → close` |
| **Pipeline** | Sequential agent chain | `spawn(A) → wait → spawn(B, with A result) → wait → close` |
```javascript
codexSkillConfig.phases.forEach(phase => {
if (phase.agents_involved.length > 1) {
phase.interaction_model = "parallel_fanout"
} else if (phase.interaction_model === "deep_interaction") {
// Already set from resume pattern detection
} else {
phase.interaction_model = "standard"
}
})
```
### Step 1.5: User Confirmation
Present extracted configuration for user review:
```javascript
AskUserQuestion({
questions: [{
question: `Skill "${codexSkillConfig.name}" will have ${codexSkillConfig.agents.length} agent(s) and ${codexSkillConfig.phases.length} phase(s). ${codexSkillConfig.newAgentDefinitions?.length || 0} new agent definitions needed. Proceed?`,
header: "Confirm",
multiSelect: false,
options: [
{ label: "Proceed", description: "Generate Codex skill package" },
{ label: "Adjust", description: "Modify configuration first" }
]
}]
})
```
## Output
- **Variable**: `codexSkillConfig` — complete skill configuration
- **TodoWrite**: Mark Phase 1 completed, Phase 2 in_progress
## Next Phase
Return to orchestrator, then auto-continue to [Phase 2: Orchestrator Design](02-orchestrator-design.md).

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# Phase 2: Orchestrator Design
Generate the main Codex orchestrator document using codexSkillConfig.
## Objective
- Generate orchestrator.md (structured mode) or {skill-name}.md (single mode)
- Apply Codex-native patterns: spawn_agent, wait, send_input, close_agent
- Include agent registry, phase execution, lifecycle management
- Preserve source content faithfully when converting from Claude
## Pre-Requisites
- Read `templates/orchestrator-template.md` for output structure
- Read `specs/codex-agent-patterns.md` for pattern reference
- If converting: Read `specs/conversion-rules.md` for mapping rules
## Execution
### Step 2.1: Determine Output Path
```javascript
const outputPath = codexSkillConfig.outputMode === "structured"
? `.codex/skills/${codexSkillConfig.name}/orchestrator.md`
: `~/.codex/prompts/${codexSkillConfig.name}.md`
```
### Step 2.2: Generate Frontmatter
```markdown
---
name: {{skill_name}}
description: {{description}}
agents: {{agent_count}}
phases: {{phase_count}}
output_template: structured # or "open_questions" for clarification-first
---
```
### Step 2.3: Generate Architecture Diagram
Map phases and agents to ASCII flow:
```javascript
// For parallel fan-out:
const diagram = `
┌──────────────────────────────────────────┐
${codexSkillConfig.name} Orchestrator │
└──────────────┬───────────────────────────┘
┌───────────┼───────────┬────────────┐
↓ ↓ ↓ ↓
┌──────┐ ┌──────┐ ┌──────┐ ┌──────┐
│Agent1│ │Agent2│ │Agent3│ │AgentN│
│spawn │ │spawn │ │spawn │ │spawn │
└──┬───┘ └──┬───┘ └──┬───┘ └──┬───┘
└──────────┼───────────┘ │
↓ │
batch wait({ids}) ←──────────┘
Aggregate Results
close_agent (all)
`
```
### Step 2.4: Generate Agent Registry
```javascript
const agentRegistry = codexSkillConfig.agents.map(agent => ({
name: agent.name,
role_file: agent.role_file, // e.g., ~/.codex/agents/cli-explore-agent.md
responsibility: agent.responsibility,
is_new: agent.role_file.startsWith('.codex/skills/') // skill-specific new agent
}))
```
Output as registry table in orchestrator:
```markdown
## Agent Registry
| Agent | Role File | Responsibility | Status |
|-------|-----------|----------------|--------|
{{#each agents}}
| `{{name}}` | `{{role_file}}` | {{responsibility}} | {{#if is_new}}NEW{{else}}existing{{/if}} |
{{/each}}
```
### Step 2.5: Generate Phase Execution Blocks
For each phase in codexSkillConfig.phases, generate the appropriate pattern:
**Standard Pattern** (single agent, single task):
```javascript
// Phase N: {{phase.name}}
const agentId = spawn_agent({
message: `
## TASK ASSIGNMENT
### MANDATORY FIRST STEPS (Agent Execute)
1. **Read role definition**: {{agent.role_file}} (MUST read first)
2. Read: .workflow/project-tech.json
3. Read: .workflow/project-guidelines.json
---
Goal: {{phase.goal}}
Scope:
- 可做: {{phase.scope.include}}
- 不可做: {{phase.scope.exclude}}
Context:
{{phase.context}}
Deliverables:
- {{phase.deliverables}}
Quality bar:
- {{phase.quality_criteria}}
`
})
const result = wait({ ids: [agentId], timeout_ms: {{phase.timeout_ms || 300000}} })
close_agent({ id: agentId })
```
**Parallel Fan-out Pattern** (multiple independent agents):
```javascript
// Phase N: {{phase.name}} (Parallel)
const agentIds = {{phase.agents}}.map(agentConfig => {
return spawn_agent({
message: `
## TASK ASSIGNMENT
### MANDATORY FIRST STEPS (Agent Execute)
1. **Read role definition**: ${agentConfig.role_file} (MUST read first)
2. Read: .workflow/project-tech.json
---
Goal: ${agentConfig.specific_goal}
Scope: ${agentConfig.scope}
Deliverables: ${agentConfig.deliverables}
`
})
})
// Batch wait for all agents
const results = wait({
ids: agentIds,
timeout_ms: {{phase.timeout_ms || 600000}}
})
// Handle timeout
if (results.timed_out) {
const completed = agentIds.filter(id => results.status[id].completed)
const pending = agentIds.filter(id => !results.status[id].completed)
// Decision: continue waiting or use partial results
}
// Aggregate results
const aggregated = agentIds.map(id => results.status[id].completed)
// Cleanup
agentIds.forEach(id => close_agent({ id }))
```
**Deep Interaction Pattern** (multi-round with send_input):
```javascript
// Phase N: {{phase.name}} (Deep Interaction)
const agent = spawn_agent({
message: `
## TASK ASSIGNMENT
### MANDATORY FIRST STEPS (Agent Execute)
1. **Read role definition**: {{agent.role_file}} (MUST read first)
---
### Phase A: {{phase.initial_goal}}
Goal: {{phase.initial_goal}}
Output: Findings + Open Questions (if any)
Output format for questions:
\`\`\`
CLARIFICATION_NEEDED:
Q1: [question] | Options: [A, B, C] | Recommended: [A]
\`\`\`
### Phase B: {{phase.followup_goal}}
Trigger: Receive answers via send_input
Output: Complete deliverable
`
})
// Round 1: Initial exploration
const round1 = wait({ ids: [agent], timeout_ms: {{phase.timeout_ms || 600000}} })
// Check for clarification needs
const needsClarification = round1.status[agent].completed.includes('CLARIFICATION_NEEDED')
if (needsClarification) {
// Collect user answers (orchestrator responsibility)
const answers = collectUserAnswers(round1)
// Continue interaction
send_input({
id: agent,
message: `
## CLARIFICATION ANSWERS
${answers}
## NEXT STEP
Proceed with Phase B: {{phase.followup_goal}}
`
})
const round2 = wait({ ids: [agent], timeout_ms: {{phase.timeout_ms || 900000}} })
}
close_agent({ id: agent })
```
**Pipeline Pattern** (sequential agent chain):
```javascript
// Phase N: {{phase.name}} (Pipeline)
// Stage 1
const agent1 = spawn_agent({ message: stage1Prompt })
const result1 = wait({ ids: [agent1] })
close_agent({ id: agent1 })
// Stage 2 (uses Stage 1 output)
const agent2 = spawn_agent({
message: `
## TASK ASSIGNMENT
...
## PREVIOUS STAGE OUTPUT
${result1.status[agent1].completed}
...
`
})
const result2 = wait({ ids: [agent2] })
close_agent({ id: agent2 })
```
### Step 2.6: Generate Lifecycle Management Section
```markdown
## Lifecycle Management
### Timeout Handling
| Timeout | Action |
|---------|--------|
| Agent completes within timeout | Process result, close_agent |
| Agent times out (partial) | Option 1: continue wait / Option 2: send_input to urge convergence / Option 3: close_agent and use partial |
| All agents timeout | Log warning, retry with extended timeout or abort |
### Cleanup Protocol
After ALL phases complete or on error:
1. Verify all agent IDs have been closed
2. Report any agents still running
3. Force close remaining agents
\`\`\`javascript
const allAgentIds = [] // accumulated during execution
allAgentIds.forEach(id => {
try { close_agent({ id }) } catch { /* already closed */ }
})
\`\`\`
```
### Step 2.7: Write Orchestrator File
Apply template from `templates/orchestrator-template.md` with generated content.
Write the complete orchestrator to the output path.
## Output
- **File**: `{outputPath}` — generated Codex orchestrator
- **Variable**: `generatedFiles.orchestrator` = outputPath
- **TodoWrite**: Mark Phase 2 completed, Phase 3 in_progress
## Next Phase
Return to orchestrator, then auto-continue to [Phase 3: Agent Design](03-agent-design.md).

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# Phase 3: Agent Design
Generate agent role definitions and optional phase execution detail files.
## Objective
- Generate agent role files for `~/.codex/agents/` or `.codex/skills/{name}/agents/`
- Apply Codex-native conventions (MANDATORY FIRST STEPS, structured output)
- Preserve source content when converting from Claude
- Generate optional phase detail files for complex orchestrations
## Pre-Requisites
- Read `templates/agent-role-template.md` for role file structure
- Read `templates/command-pattern-template.md` for pre-built command patterns
- Read `specs/codex-agent-patterns.md` for API patterns
## Execution
### Step 3.1: Identify Agents to Generate
```javascript
// From codexSkillConfig
const agentsToGenerate = codexSkillConfig.agents.filter(a =>
a.role_file.startsWith('.codex/skills/') // new skill-specific agents
|| codexSkillConfig.newAgentDefinitions?.includes(a.role_file)
)
// Existing agents (already in ~/.codex/agents/) — skip generation
const existingAgents = codexSkillConfig.agents.filter(a =>
!agentsToGenerate.includes(a)
)
```
### Step 3.2: Generate Agent Role Files
For each agent to generate, apply the agent-role-template:
```javascript
for (const agent of agentsToGenerate) {
const roleContent = applyTemplate('templates/agent-role-template.md', {
agent_name: agent.name,
description: agent.responsibility,
capabilities: agent.capabilities || inferCapabilities(agent),
execution_process: agent.workflow || inferWorkflow(agent),
output_format: codexSkillConfig.outputTemplate || "structured",
key_reminders: generateReminders(agent)
})
const outputPath = agent.role_file.startsWith('~/')
? agent.role_file
: `.codex/skills/${codexSkillConfig.name}/agents/${agent.name}.md`
Write(outputPath, roleContent)
generatedFiles.agents.push(outputPath)
}
```
### Step 3.3: Agent Role File Content Structure
Each generated agent role file follows this structure:
```markdown
---
name: {{agent_name}}
description: |
{{description}}
color: {{color}}
skill: {{parent_skill_name}}
---
# {{agent_display_name}}
{{description_paragraph}}
## Core Capabilities
1. **{{capability_1}}**: {{description}}
2. **{{capability_2}}**: {{description}}
3. **{{capability_3}}**: {{description}}
## Execution Process
### Step 1: Context Loading
- Read role-specific configuration files
- Load project context (.workflow/project-tech.json)
- Understand task scope from TASK ASSIGNMENT
### Step 2: {{primary_action}}
{{primary_action_detail}}
### Step 3: {{secondary_action}}
{{secondary_action_detail}}
### Step 4: Output Delivery
Produce structured output following the template:
\`\`\`text
Summary:
- {{summary_format}}
Findings:
- {{findings_format}}
Proposed changes:
- {{changes_format}}
Tests:
- {{tests_format}}
Open questions:
- {{questions_format}}
\`\`\`
## Key Reminders
**ALWAYS**:
- Read role definition file as FIRST action
- Follow structured output template
- Stay within assigned scope
- Report open questions instead of guessing
**NEVER**:
- Modify files outside assigned scope
- Skip role definition loading
- Produce unstructured output
- Make assumptions about unclear requirements
```
### Step 3.4: Conversion from Claude Agent Definitions
When converting from Claude skill, extract agent behavior from:
1. **Task() prompts**: The `prompt` parameter contains the agent's task instructions
2. **Phase files**: Phase execution detail contains the full agent interaction
3. **subagent_type**: Maps to existing `~/.codex/agents/` roles
```javascript
// For each Task() call found in Claude source
for (const taskCall of claudeConfig.agents) {
const existingRole = roleMapping[taskCall.subagent_type]
if (existingRole) {
// Map to existing Codex agent — no new file needed
// Just reference in orchestrator's MANDATORY FIRST STEPS
codexSkillConfig.agents.push({
name: taskCall.subagent_type,
role_file: `~/.codex/agents/${taskCall.subagent_type}.md`,
responsibility: taskCall.description,
is_new: false
})
} else {
// Extract agent behavior from Claude prompt and create new role
const newRole = extractRoleFromPrompt(taskCall.prompt)
// Generate new role file
}
}
```
### Step 3.5: Command Pattern Selection
For agents that need specific command patterns, select from pre-built templates:
| Pattern | Use When | Template |
|---------|----------|----------|
| **Explore** | Agent needs codebase exploration | Parallel fan-out spawn_agent |
| **Analyze** | Agent performs multi-perspective analysis | Parallel spawn + merge |
| **Implement** | Agent writes code | Sequential spawn + validate |
| **Validate** | Agent runs tests | Iterative spawn + send_input fix cycle |
| **Review** | Agent reviews code/artifacts | Parallel spawn + aggregate |
| **Deep Interact** | Agent needs multi-round conversation | spawn + wait + send_input loop |
| **Two-Phase** | Agent needs clarification first | spawn(clarify) + send_input(execute) |
Read `templates/command-pattern-template.md` for full pattern implementations.
### Step 3.6: Generate Phase Detail Files (Optional)
For structured mode with complex phases, generate phase detail files:
```javascript
if (codexSkillConfig.outputMode === "structured") {
for (const phase of codexSkillConfig.phases) {
if (phase.complexity === "high" || phase.agents_involved.length > 2) {
const phaseContent = generatePhaseDetail(phase, codexSkillConfig)
const phasePath = `.codex/skills/${codexSkillConfig.name}/phases/${phase.index}-${phase.slug}.md`
Write(phasePath, phaseContent)
generatedFiles.phases.push(phasePath)
}
}
}
```
Phase detail structure:
```markdown
# Phase {{N}}: {{Phase Name}}
{{One-sentence description}}
## Agents Involved
| Agent | Role | Interaction Model |
|-------|------|-------------------|
{{#each phase.agents}}
| {{name}} | {{role_file}} | {{interaction_model}} |
{{/each}}
## Execution
### spawn_agent Configuration
\`\`\`javascript
const agent = spawn_agent({
message: `
## TASK ASSIGNMENT
### MANDATORY FIRST STEPS (Agent Execute)
1. **Read role definition**: {{role_file}} (MUST read first)
...
---
Goal: {{goal}}
Scope: {{scope}}
Context: {{context}}
Deliverables: {{deliverables}}
Quality bar: {{quality}}
`
})
\`\`\`
### Wait & Result Processing
\`\`\`javascript
const result = wait({ ids: [agent], timeout_ms: {{timeout}} })
// Process: {{result_processing}}
close_agent({ id: agent })
\`\`\`
## Output
- **Result**: {{output_description}}
- **Passed to**: Phase {{N+1}}
```
### Step 3.7: Deployment Mapping
Generate deployment instructions:
```javascript
const deploymentMap = {
// Existing agents — no action needed
existing: existingAgents.map(a => ({
name: a.name,
path: a.role_file,
action: "already deployed"
})),
// New agents — need deployment
new: agentsToGenerate.map(a => ({
name: a.name,
sourcePath: `.codex/skills/${codexSkillConfig.name}/agents/${a.name}.md`,
targetPath: `~/.codex/agents/${a.name}.md`,
action: "copy to ~/.codex/agents/"
}))
}
```
## Output
- **Files**: `generatedFiles.agents[]` — agent role files
- **Files**: `generatedFiles.phases[]` — optional phase detail files
- **Variable**: `deploymentMap` — deployment instructions
- **TodoWrite**: Mark Phase 3 completed, Phase 4 in_progress
## Next Phase
Return to orchestrator, then auto-continue to [Phase 4: Validation & Delivery](04-validation.md).

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# Phase 4: Validation & Delivery
Validate the generated Codex skill package and deliver to target location.
## Objective
- Verify structural completeness of all generated files
- Validate Codex pattern compliance (lifecycle, role loading, output format)
- Score quality against standards
- Deploy to target location with instructions
## Pre-Requisites
- Read `specs/quality-standards.md` for validation criteria
- Access `generatedFiles` from previous phases
- Access `codexSkillConfig` for expected structure
## Execution
### Step 4.1: Structural Completeness Check
```javascript
const structuralChecks = {
// Orchestrator exists
orchestrator: {
exists: fileExists(generatedFiles.orchestrator),
hasFrontmatter: checkFrontmatter(generatedFiles.orchestrator),
hasArchitecture: checkSection(generatedFiles.orchestrator, "Architecture"),
hasAgentRegistry: checkSection(generatedFiles.orchestrator, "Agent Registry"),
hasPhaseExecution: checkSection(generatedFiles.orchestrator, "Phase"),
hasLifecycleManagement: checkSection(generatedFiles.orchestrator, "Lifecycle"),
hasTimeoutHandling: checkSection(generatedFiles.orchestrator, "Timeout"),
passed: 0, total: 7
},
// Agent files exist and are well-formed
agents: codexSkillConfig.agents.map(agent => ({
name: agent.name,
exists: fileExists(agent.role_file) || fileExists(generatedFiles.agents.find(f => f.includes(agent.name))),
hasFrontmatter: checkFrontmatter(agentFile),
hasCapabilities: checkSection(agentFile, "Core Capabilities"),
hasExecution: checkSection(agentFile, "Execution Process"),
hasReminders: checkSection(agentFile, "Key Reminders"),
passed: 0, total: 5
})),
// Phase files (if structured mode)
phases: generatedFiles.phases?.map(phasePath => ({
path: phasePath,
exists: fileExists(phasePath),
hasAgentTable: checkSection(phasePath, "Agents Involved"),
hasSpawnConfig: checkSection(phasePath, "spawn_agent"),
hasWaitProcessing: checkSection(phasePath, "Wait"),
passed: 0, total: 4
})) || []
}
// Count passes
let totalPassed = 0, totalChecks = 0
// ... count logic
```
### Step 4.2: Codex Pattern Compliance
Verify all Codex-native patterns are correctly applied:
```javascript
const patternChecks = {
// Lifecycle: every spawn has a close
lifecycle: {
spawnCount: countPattern(orchestratorContent, /spawn_agent/g),
closeCount: countPattern(orchestratorContent, /close_agent/g),
balanced: spawnCount <= closeCount, // close >= spawn (batch close is OK)
description: "Every spawn_agent must have matching close_agent"
},
// Role loading: MANDATORY FIRST STEPS present
roleLoading: {
hasPattern: orchestratorContent.includes("MANDATORY FIRST STEPS"),
allAgentsReferenced: codexSkillConfig.agents.every(a =>
orchestratorContent.includes(a.role_file)
),
usesPathNotInline: !orchestratorContent.includes("## ROLE DEFINITION"),
description: "Role files loaded via path reference, not inline content"
},
// Wait pattern: uses wait() not close_agent for results
waitPattern: {
usesWaitForResults: countPattern(orchestratorContent, /wait\(\s*\{/) > 0,
noCloseForResults: !hasPatternSequence(orchestratorContent, "close_agent", "result"),
description: "Results obtained via wait(), not close_agent"
},
// Batch wait: parallel agents use batch wait
batchWait: {
applicable: codexSkillConfig.parallelSplits?.length > 0,
usesBatchIds: orchestratorContent.includes("ids: [") ||
orchestratorContent.includes("ids: agentIds"),
description: "Parallel agents use batch wait({ ids: [...] })"
},
// Timeout handling: timeout_ms specified
timeout: {
hasTimeout: orchestratorContent.includes("timeout_ms"),
hasTimeoutHandling: orchestratorContent.includes("timed_out"),
description: "Timeout specified and timeout scenarios handled"
},
// Structured output: agents produce uniform output
structuredOutput: {
hasSummary: agentContents.every(c => c.includes("Summary:")),
hasDeliverables: agentContents.every(c => c.includes("Deliverables") || c.includes("Findings")),
description: "All agents produce structured output template"
},
// No Claude patterns: no Task(), no TaskOutput(), no resume
noClaudePatterns: {
noTask: !orchestratorContent.includes("Task("),
noTaskOutput: !orchestratorContent.includes("TaskOutput("),
noResume: !orchestratorContent.includes("resume:") && !orchestratorContent.includes("resume ="),
description: "No Claude-specific patterns remain"
}
}
const patternScore = calculatePatternScore(patternChecks)
```
### Step 4.3: Content Quality Check
```javascript
const qualityChecks = {
// Orchestrator quality
orchestratorQuality: {
hasDescription: orchestratorContent.length > 500,
hasCodeBlocks: countPattern(orchestratorContent, /```/g) >= 4,
hasErrorHandling: orchestratorContent.includes("Error") || orchestratorContent.includes("error"),
noPlaceholders: !orchestratorContent.includes("{{") || !orchestratorContent.includes("TODO"),
description: "Orchestrator is complete and production-ready"
},
// Agent quality
agentQuality: agentContents.map(content => ({
hasSubstantiveContent: content.length > 300,
hasActionableSteps: countPattern(content, /Step \d/g) >= 2,
hasOutputFormat: content.includes("Output") || content.includes("Deliverables"),
noPlaceholders: !content.includes("{{") || !content.includes("TODO")
})),
// Conversion quality (if applicable)
conversionQuality: codexSkillConfig.conversionSource ? {
allTasksConverted: true, // verify all Claude Task() calls are mapped
noLostFunctionality: true, // verify no features dropped
interactionPreserved: true // verify resume → send_input mapping
} : null
}
const qualityScore = calculateQualityScore(qualityChecks)
```
### Step 4.4: Quality Gate
```javascript
const overallScore = (
structuralScore * 0.30 +
patternScore * 0.40 +
qualityScore * 0.30
)
const verdict = overallScore >= 80 ? "PASS" :
overallScore >= 60 ? "REVIEW" : "FAIL"
```
| Verdict | Score | Action |
|---------|-------|--------|
| **PASS** | >= 80% | Deliver to target location |
| **REVIEW** | 60-79% | Report issues, ask user to proceed or fix |
| **FAIL** | < 60% | Block delivery, list critical issues |
### Step 4.5: Validation Report
```javascript
const validationReport = {
skill: codexSkillConfig.name,
outputMode: codexSkillConfig.outputMode,
scores: {
structural: structuralScore,
pattern: patternScore,
quality: qualityScore,
overall: overallScore
},
verdict: verdict,
issues: collectIssues(structuralChecks, patternChecks, qualityChecks),
generatedFiles: generatedFiles,
deploymentMap: deploymentMap
}
```
### Step 4.6: Delivery
If verdict is PASS or user approves REVIEW:
```javascript
// For structured mode — files already in .codex/skills/{name}/
// Report deployment instructions for agent files
const deploymentInstructions = `
## Deployment Instructions
### Generated Files
${generatedFiles.orchestrator}
${generatedFiles.agents.join('\n')}
${generatedFiles.phases?.join('\n') || '(no phase files)'}
### Agent Deployment
${deploymentMap.new.map(a =>
`Copy: ${a.sourcePath}${a.targetPath}`
).join('\n')}
### Existing Agents (no action needed)
${deploymentMap.existing.map(a =>
`${a.name}: ${a.path}`
).join('\n')}
### Usage
Invoke the generated orchestrator via Codex:
- Read the orchestrator.md and follow its phase execution
- Or register as a Codex prompt in ~/.codex/prompts/
### Validation Score
Overall: ${overallScore}% (${verdict})
- Structural: ${structuralScore}%
- Pattern Compliance: ${patternScore}%
- Content Quality: ${qualityScore}%
`
```
### Step 4.7: Final Summary to User
Present:
1. Generated file list with paths
2. Validation scores
3. Deployment instructions
4. Any issues or warnings
5. Next steps (e.g., "test the skill by running the orchestrator")
## Output
- **Report**: Validation report with scores
- **Deployment**: Instructions for agent file deployment
- **TodoWrite**: Mark Phase 4 completed
## Completion
Skill package generation complete. All files written and validated.