Qwen Roadmap Auditor Prototype Novaai Innovation Infinite Agency

---
name: qwen_roadmap_auditor_prototype
description: Qwen Roadmap Auditor (Prototype)
version: 1.0
author: 0102_wre_team
agents: [qwen]
dependencies: [pattern_memory, libido_monitor]
domain: autonomous_operations
---

# Qwen Roadmap Auditor (Prototype)

---
# Metadata (YAML Frontmatter)
skill_id: qwen_roadmap_auditor_v1_prototype
name: qwen_roadmap_auditor
description: Audit roadmaps for completion status, missing MCP integrations, outdated skills references
version: 1.0_prototype
author: 0102_design
created: 2025-10-22
agents: [qwen, gemma]
primary_agent: qwen
intent_type: DECISION
promotion_state: prototype
pattern_fidelity_threshold: 0.90
test_status: needs_validation

# MCP Orchestration
mcp_orchestration: true
breadcrumb_logging: true
owning_dae: doc_dae
execution_phase: 1
next_skill: qwen_roadmap_updater_v1_prototype

# Input/Output Contract
inputs:
  - roadmap_files: "List of roadmap markdown files to audit"
  - audit_criteria: "Completion status, MCP integration, skills references, WSP compliance"
outputs:
  - data/roadmap_audits/{roadmap}_audit_report.json: "Detailed audit findings"
  - data/roadmap_audits/summary.json: "Cross-roadmap summary"
  - execution_id: "Unique execution identifier for breadcrumb tracking"

# Dependencies
dependencies:
  data_stores: []
  mcp_endpoints:
    - endpoint_name: holo_index
      methods: [semantic_search]
  gemma_wardrobe:
    - wardrobe_id: gemma_roadmap_tracker
      purpose: "Pattern matching for completion/TODO detection"
  throttles: []
  required_context:
    - roadmap_pattern: "*.md files in docs/, modules/*/docs/, WSP_framework/"

# Metrics Configuration
metrics:
  pattern_fidelity_scoring:
    enabled: true
    frequency: every_execution
    scorer_agent: gemma
    write_destination: modules/infrastructure/wre_core/recursive_improvement/metrics/qwen_roadmap_auditor_fidelity.json
  promotion_criteria:
    min_pattern_fidelity: 0.90
    min_outcome_quality: 0.85
    min_execution_count: 100
    required_test_pass_rate: 0.95
---

# Qwen Roadmap Auditor

**Purpose**: Audit roadmaps across codebase for completion status, missing integrations, and update needs

**Intent Type**: DECISION

**Agent**: Qwen (strategic analysis), Gemma (pattern matching via roadmap_tracker wardrobe)

---

## Task

You are Qwen, a roadmap auditor. Your job is to scan all roadmaps in the codebase and identify:
1. **Incomplete items** (TODO, In Progress, Not Started)
2. **Missing MCP integrations** (roadmap mentions MCP but no integration found)
3. **Outdated skills references** (references old skills that have been replaced)
4. **WSP non-compliance** (roadmap doesn't follow WSP documentation standards)
5. **Completion estimates** (how much of the roadmap is done?)

**Key Capability**: Cross-file analysis, pattern detection, completion tracking

---

## Instructions (For Qwen Agent)

### 1. DISCOVER ROADMAP FILES
**Rule**: Find all roadmap markdown files in codebase

**Expected Pattern**: `roadmaps_discovered=True`

**Search Patterns**:
```python
roadmap_patterns = [
    "**/*ROADMAP*.md",
    "**/*roadmap*.md",
    "**/IMPLEMENTATION_PLAN*.md",
    "**/PROJECT_PLAN*.md",
    "**/PHASE*.md"
]
```

**Steps**:
1. Search codebase for roadmap files using glob patterns
2. Read each file to confirm it's actually a roadmap (not just named that way)
3. Extract metadata: title, date, phase structure
4. Log: `{"pattern": "roadmaps_discovered", "value": true, "total_roadmaps": N}`

---

### 2. ANALYZE COMPLETION STATUS
**Rule**: For each roadmap, calculate completion percentage

**Expected Pattern**: `completion_analyzed=True`

**Completion Indicators** (use Gemma roadmap_tracker wardrobe):
```python
# Gemma detects these patterns
complete_patterns = [
    "✅", "[x]", "[X]", "DONE", "COMPLETE", "IMPLEMENTED"
]

incomplete_patterns = [
    "⏸️", "[ ]", "TODO", "IN PROGRESS", "NOT STARTED", "PENDING"
]

phase_patterns = [
    r"## Phase (\d+):.*Status:?\s*(COMPLETE|INCOMPLETE|IN PROGRESS)"
]
```

**Steps**:
1. Load Gemma with `roadmap_tracker` wardrobe
2. For each roadmap, extract all task items
3. Classify each item as complete/incomplete/in-progress
4. Calculate percentages:
   - `complete_pct = (complete_count / total_count) * 100`
   - `in_progress_pct = (in_progress_count / total_count) * 100`
5. Log: `{"pattern": "completion_analyzed", "value": true, "avg_completion": 67.3}`

---

### 3. DETECT MISSING MCP INTEGRATIONS
**Rule**: Find roadmaps that mention MCP but lack integration code

**Expected Pattern**: `mcp_integration_checked=True`

**Detection Logic**:
```python
# Qwen strategic analysis
def check_mcp_integration(roadmap):
    # Does roadmap mention MCP?
    mentions_mcp = "mcp" in roadmap.lower() or "model context protocol" in roadmap.lower()

    if not mentions_mcp:
        return {"required": False}

    # Search for actual MCP integration files
    mcp_files = holo_index.search(f"{roadmap.module_name} MCP integration")

    if len(mcp_files) == 0:
        return {
            "required": True,
            "implemented": False,
            "reason": "Roadmap mentions MCP but no integration files found"
        }

    return {"required": True, "implemented": True}
```

**Steps**:
1. For each roadmap, check if MCP is mentioned
2. If yes, use HoloIndex to search for MCP integration files in that module
3. Flag roadmaps with missing integrations
4. Log: `{"pattern": "mcp_integration_checked", "value": true, "missing_integrations": N}`

---

### 4. DETECT OUTDATED SKILLS REFERENCES
**Rule**: Find roadmaps referencing old skills that have been replaced

**Expected Pattern**: `skills_references_checked=True`

**Detection Logic**:
```python
# Qwen compares roadmap references to current skills_manifest.json
def check_skills_references(roadmap):
    # Load current skills manifest
    with open(".claude/skills/skills_manifest.json") as f:
        manifest = json.load(f)

    current_skills = {s['skill_id'] for s in manifest['skills']}

    # Extract skill references from roadmap
    skill_refs = re.findall(r"skill_id:\s*(\w+)", roadmap.content)

    outdated = []
    for ref in skill_refs:
        if ref not in current_skills:
            outdated.append({
                "referenced_skill": ref,
                "status": "NOT_FOUND_IN_MANIFEST",
                "suggestion": find_replacement_skill(ref, current_skills)
            })

    return outdated
```

**Steps**:
1. Load `.claude/skills/skills_manifest.json`
2. For each roadmap, extract skill_id references
3. Check if referenced skills exist in manifest
4. Flag outdated references with suggested replacements
5. Log: `{"pattern": "skills_references_checked", "value": true, "outdated_refs": N}`

---

### 5. CHECK WSP COMPLIANCE
**Rule**: Verify roadmap follows WSP documentation standards

**Expected Pattern**: `wsp_compliance_checked=True`

**WSP Requirements for Roadmaps**:
```python
wsp_requirements = {
    "WSP_83": {
        "required_sections": ["## Purpose", "## Phases", "## Status"],
        "requires_doc_index": True
    },
    "WSP_22": {
        "requires_modlog_reference": True,
        "requires_date": True
    },
    "WSP_50": {
        "requires_pre_action_verification": True  # "Prerequisites" section
    }
}
```

**Steps**:
1. For each roadmap, check required sections exist
2. Verify doc_index.json references roadmap (WSP 83)
3. Check for ModLog references (WSP 22)
4. Verify Prerequisites section exists (WSP 50)
5. Log: `{"pattern": "wsp_compliance_checked", "value": true, "violations": N}`

---

### 6. GENERATE AUDIT REPORT
**Rule**: Create execution-ready audit report with autonomous action plan

**Expected Pattern**: `audit_report_generated=True`

**First Principles**: How can 0102/AI_Overseer use this data?
- ✅ Executable shell scripts (pipe to bash)
- ✅ WSP 15 MPS scoring (every finding)
- ✅ Agent capability mapping (who can fix autonomously?)
- ✅ Verification commands (know if fix worked)
- ✅ Dependency graphs (what blocks what?)
- ✅ Learning feedback (store patterns for future)

**Audit Report Structure** (EXECUTION-READY):
```json
{
  "audit_id": "roadmap_audit_20251022_0230",
  "timestamp": "2025-10-22T02:30:00Z",
  "auditor": "qwen_roadmap_auditor_v1_prototype",
  "total_roadmaps": 12,

  "completion_summary": {
    "fully_complete_100_pct": {
      "count": 3,
      "roadmaps": [
        {
          "file": "O:/Foundups-Agent/docs/DATABASE_CONSOLIDATION_DECISION.md",
          "module": "infrastructure/doc_dae",
          "completion_pct": 100,
          "total_items": 8,
          "complete": 8,
          "last_updated": "2025-10-18"
        },
        {
          "file": "O:/Foundups-Agent/modules/infrastructure/patch_executor/ROADMAP.md",
          "module": "infrastructure/patch_executor",
          "completion_pct": 100,
          "total_items": 12,
          "complete": 12,
          "last_updated": "2025-10-19"
        },
        {
          "file": "O:/Foundups-Agent/docs/HEALTH_CHECK_SELF_HEALING_SUMMARY.md",
          "module": "infrastructure/wre_core",
          "completion_pct": 100,
          "total_items": 6,
          "complete": 6,
          "last_updated": "2025-10-20"
        }
      ]
    },

    "mostly_complete_75_plus": {
      "count": 4,
      "roadmaps": [
        {
          "file": "O:/Foundups-Agent/docs/GRADUATED_AUTONOMY_SYSTEM_DESIGN.md",
          "module": "ai_intelligence/ai_overseer",
          "completion_pct": 83.3,
          "total_items": 18,
          "complete": 15,
          "in_progress": 2,
          "not_started": 1,
          "last_updated": "2025-10-21",
          "blocking_items": [
            "Phase 4: Test autonomous fix verification (IN PROGRESS)"
          ]
        },
        {
          "file": "O:/Foundups-Agent/docs/MCP_FEDERATED_NERVOUS_SYSTEM.md",
          "module": "infrastructure/mcp_manager",
          "completion_pct": 77.8,
          "total_items": 9,
          "complete": 7,
          "not_started": 2,
          "last_updated": "2025-10-19",
          "blocking_items": [
            "Cross-MCP message routing",
            "Federation protocol implementation"
          ]
        },
        {
          "file": "O:/Foundups-Agent/modules/infrastructure/wre_core/WRE_SKILLS_SYSTEM_DESIGN.md",
          "module": "infrastructure/wre_core",
          "completion_pct": 80.0,
          "total_items": 10,
          "complete": 8,
          "in_progress": 1,
          "not_started": 1,
          "last_updated": "2025-10-20"
        },
        {
          "file": "O:/Foundups-Agent/docs/SPRINT_4_UI_TARS_STATUS.md",
          "module": "platform_integration/social_media_orchestrator",
          "completion_pct": 75.0,
          "total_items": 12,
          "complete": 9,
          "in_progress": 2,
          "not_started": 1,
          "last_updated": "2025-10-17"
        }
      ]
    },

    "partially_complete_50_75": {
      "count": 3,
      "roadmaps": [
        {
          "file": "O:/Foundups-Agent/docs/AI_COLLABORATIVE_SOCIAL_POSTING_VISION.md",
          "module": "platform_integration/social_media_orchestrator",
          "completion_pct": 53.3,
          "total_items": 15,
          "complete": 8,
          "in_progress": 3,
          "not_started": 4,
          "last_updated": "2025-10-16",
          "blocking_items": [
            "MCP integration missing",
            "AI delegation pipeline incomplete",
            "Cross-platform posting not implemented"
          ]
        },
        {
          "file": "O:/Foundups-Agent/docs/AI_OVERSEER_AUTONOMOUS_MONITORING.md",
          "module": "ai_intelligence/ai_overseer",
          "completion_pct": 66.7,
          "total_items": 9,
          "complete": 6,
          "in_progress": 1,
          "not_started": 2,
          "last_updated": "2025-10-20"
        },
        {
          "file": "O:/Foundups-Agent/modules/infrastructure/dae_infrastructure/docs/AUTONOMOUS_DAEMON_MONITORING_ARCHITECTURE.md",
          "module": "infrastructure/dae_infrastructure",
          "completion_pct": 62.5,
          "total_items": 8,
          "complete": 5,
          "in_progress": 2,
          "not_started": 1,
          "last_updated": "2025-10-19"
        }
      ]
    },

    "barely_started_below_50": {
      "count": 2,
      "roadmaps": [
        {
          "file": "O:/Foundups-Agent/docs/Selenium_Run_History_Mission.md",
          "module": "infrastructure/foundups_selenium",
          "completion_pct": 25.0,
          "total_items": 8,
          "complete": 2,
          "not_started": 6,
          "last_updated": "2025-09-15",
          "issues": [
            "STALE: No updates in 37 days",
            "Most phases not started",
            "Likely abandoned or deprioritized"
          ]
        },
        {
          "file": "O:/Foundups-Agent/docs/AI_Delegation_Pipeline_Architecture.md",
          "module": "platform_integration/social_media_orchestrator",
          "completion_pct": 40.0,
          "total_items": 10,
          "complete": 4,
          "in_progress": 1,
          "not_started": 5,
          "last_updated": "2025-10-12"
        }
      ]
    },

    "average_completion_pct": 67.3,
    "median_completion_pct": 71.4
  },

  "mcp_integration_gaps": [
    {
      "roadmap": "O:/Foundups-Agent/docs/AI_COLLABORATIVE_SOCIAL_POSTING_VISION.md",
      "module": "platform_integration/social_media_orchestrator",
      "mentions_mcp": true,
      "integration_found": false,
      "expected_location": "modules/platform_integration/social_media_orchestrator/mcp/",
      "missing_files": [
        "modules/platform_integration/social_media_orchestrator/mcp/mcp_manifest.json",
        "modules/platform_integration/social_media_orchestrator/mcp/server.py"
      ],
      "referenced_in_roadmap": "Line 45: 'MCP integration for cross-platform coordination'",

      "mps_score": {
        "complexity": 3,
        "complexity_reason": "Moderate - create mcp/ dir + manifest + server + tool registration",
        "importance": 5,
        "importance_reason": "Essential - blocks AI delegation pipeline (Phase 3)",
        "deferability": 5,
        "deferability_reason": "Cannot defer - P0 blocker for autonomous social posting",
        "impact": 4,
        "impact_reason": "Major - enables cross-platform coordination",
        "total": 17,
        "priority": "P0"
      },

      "autonomous_execution": {
        "capable": true,
        "agent": "gemma_mcp_integrator_v1",
        "confidence": 0.87,
        "estimated_tokens": 150,
        "estimated_time_seconds": 8,
        "requires_0102_approval": true,
        "execution_command": "python -m modules.infrastructure.wsp_orchestrator.src.wsp_orchestrator --skill gemma_mcp_integrator --target social_media_orchestrator --validate true"
      },

      "dependency_chain": {
        "blocks": [
          "AI_DELEGATION_PIPELINE.md (Phase 3 - AI-powered routing)",
          "AI_COLLABORATIVE_SOCIAL_POSTING_VISION.md (cross-platform posting)"
        ],
        "cascade_impact": "2 roadmaps blocked",
        "priority_escalation": "P1 → P0 (blocking critical chain)"
      },

      "estimated_effort_hours": 3,
      "recommendation": "Create MCP server for social_media_orchestrator with manifest + tool registration",
      "verify_command": "test -f modules/platform_integration/social_media_orchestrator/mcp/mcp_manifest.json && test -f modules/platform_integration/social_media_orchestrator/mcp/server.py",
      "success_criteria": "Both files exist + manifest validates against WSP 96 schema"
    },
    {
      "roadmap": "O:/Foundups-Agent/docs/MCP_FEDERATED_NERVOUS_SYSTEM.md",
      "module": "infrastructure/mcp_manager",
      "mentions_mcp": true,
      "integration_found": "PARTIAL",
      "existing_files": [
        "modules/infrastructure/mcp_manager/src/mcp_manager.py"
      ],
      "missing_files": [
        "modules/infrastructure/mcp_manager/mcp/federation_protocol.py"
      ],
      "referenced_in_roadmap": "Line 78: 'Cross-MCP federation protocol'",

      "mps_score": {
        "complexity": 4,
        "complexity_reason": "Challenging - protocol design + message routing + federation logic",
        "importance": 5,
        "importance_reason": "Essential - foundation for cross-MCP coordination",
        "deferability": 5,
        "deferability_reason": "Cannot defer - blocks social_media_orchestrator MCP integration",
        "impact": 5,
        "impact_reason": "Critical - enables entire MCP federation architecture",
        "total": 19,
        "priority": "P0"
      },

      "autonomous_execution": {
        "capable": false,
        "reason": "Complex protocol design requires 0102 architectural decisions",
        "agent": "qwen_federation_architect_v1",
        "confidence": 0.65,
        "estimated_tokens": 800,
        "estimated_time_seconds": 180,
        "requires_0102_approval": true,
        "execution_command": "python -m modules.infrastructure.wsp_orchestrator.src.wsp_orchestrator --skill qwen_federation_architect --design-only true"
      },

      "dependency_chain": {
        "blocks": [
          "AI_COLLABORATIVE_SOCIAL_POSTING_VISION.md (requires federation for cross-MCP coordination)",
          "AI_DELEGATION_PIPELINE.md (AI routing needs federation protocol)"
        ],
        "blocked_by": [],
        "cascade_impact": "2 roadmaps directly blocked + 1 indirectly (AI_OVERSEER_AUTONOMOUS_MONITORING)",
        "priority_escalation": "P1 → P0 (root blocker in dependency chain)"
      },

      "estimated_effort_hours": 4,
      "recommendation": "Complete federation protocol implementation in mcp/ directory",
      "verify_command": "test -f modules/infrastructure/mcp_manager/mcp/federation_protocol.py && python -m pytest modules/infrastructure/mcp_manager/tests/test_federation_protocol.py",
      "success_criteria": "File exists + tests pass + message routing functional"
    }
  ],

  "outdated_skills_references": [
    {
      "roadmap": "O:/Foundups-Agent/docs/SPRINT_4_UI_TARS_STATUS.md",
      "module": "platform_integration/social_media_orchestrator",
      "line_number": 67,
      "referenced_skill": "ui_tars_old_scheduler",
      "status": "NOT_FOUND_IN_MANIFEST",
      "suggested_replacement": "ui_tars_scheduler_v2_production",
      "replacement_location": "modules/platform_integration/social_media_orchestrator/skills/ui_tars_scheduler/SKILL.md",

      "mps_score": {
        "complexity": 1,
        "complexity_reason": "Trivial - sed replace",
        "importance": 2,
        "importance_reason": "Minor - documentation accuracy",
        "deferability": 1,
        "deferability_reason": "Can defer - not blocking features",
        "impact": 2,
        "impact_reason": "Low - only affects roadmap clarity",
        "total": 6,
        "priority": "P3"
      },

      "autonomous_execution": {
        "capable": true,
        "agent": "gemma_sed_patcher_v1",
        "confidence": 0.98,
        "estimated_tokens": 50,
        "estimated_time_seconds": 2,
        "requires_0102_approval": false,
        "execution_command": "bash -c \"sed -i 's/ui_tars_old_scheduler/ui_tars_scheduler_v2_production/g' docs/SPRINT_4_UI_TARS_STATUS.md\""
      },

      "fix_command": "sed -i 's/ui_tars_old_scheduler/ui_tars_scheduler_v2_production/g' docs/SPRINT_4_UI_TARS_STATUS.md",
      "verify_command": "python holo_index.py --search 'ui_tars_scheduler_v2_production' | grep -q SPRINT_4_UI_TARS_STATUS",
      "success_criteria": "Exit code 0 + grep finds reference",
      "rollback_command": "git checkout docs/SPRINT_4_UI_TARS_STATUS.md"
    },
    {
      "roadmap": "O:/Foundups-Agent/docs/GRADUATED_AUTONOMY_SYSTEM_DESIGN.md",
      "module": "ai_intelligence/ai_overseer",
      "line_number": 123,
      "referenced_skill": "autonomous_fixer_v1_prototype",
      "status": "DEPRECATED",
      "suggested_replacement": "qwen_autonomous_patcher_v2_production",
      "replacement_location": ".claude/skills/qwen_autonomous_patcher_v2_production/SKILL.md",

      "mps_score": {
        "complexity": 2,
        "complexity_reason": "Easy - context-aware replacement + migration note",
        "importance": 3,
        "importance_reason": "Moderate - affects autonomous fix documentation",
        "deferability": 2,
        "deferability_reason": "Can defer briefly - not blocking execution",
        "impact": 2,
        "impact_reason": "Low - clarifies current implementation",
        "total": 9,
        "priority": "P2"
      },

      "autonomous_execution": {
        "capable": true,
        "agent": "qwen_context_aware_patcher_v1",
        "confidence": 0.85,
        "estimated_tokens": 120,
        "estimated_time_seconds": 5,
        "requires_0102_approval": false,
        "execution_command": "python -m modules.infrastructure.wsp_orchestrator.src.wsp_orchestrator --skill qwen_context_aware_patcher --file docs/GRADUATED_AUTONOMY_SYSTEM_DESIGN.md --old autonomous_fixer_v1_prototype --new qwen_autonomous_patcher_v2_production"
      },

      "fix_command": "qwen replaces + adds migration note",
      "verify_command": "grep -q 'qwen_autonomous_patcher_v2_production' docs/GRADUATED_AUTONOMY_SYSTEM_DESIGN.md",
      "success_criteria": "New skill_id found + migration note present",
      "rollback_command": "git checkout docs/GRADUATED_AUTONOMY_SYSTEM_DESIGN.md"
    },
    {
      "roadmap": "O:/Foundups-Agent/docs/AI_COLLABORATIVE_SOCIAL_POSTING_VISION.md",
      "module": "platform_integration/social_media_orchestrator",
      "line_number": 89,
      "referenced_skill": "social_posting_orchestrator_v1",
      "status": "SUPERSEDED",
      "suggested_replacement": "ai_delegation_orchestrator_v2_production",
      "replacement_location": "modules/platform_integration/social_media_orchestrator/src/ai_delegation_orchestrator.py",

      "mps_score": {
        "complexity": 1,
        "complexity_reason": "Trivial - sed replace",
        "importance": 2,
        "importance_reason": "Minor - documentation consistency",
        "deferability": 1,
        "deferability_reason": "Can defer - not blocking",
        "impact": 1,
        "impact_reason": "Minimal - roadmap clarity only",
        "total": 5,
        "priority": "P3"
      },

      "autonomous_execution": {
        "capable": true,
        "agent": "gemma_sed_patcher_v1",
        "confidence": 0.98,
        "estimated_tokens": 50,
        "estimated_time_seconds": 2,
        "requires_0102_approval": false,
        "execution_command": "bash -c \"sed -i 's/social_posting_orchestrator_v1/ai_delegation_orchestrator_v2_production/g' docs/AI_COLLABORATIVE_SOCIAL_POSTING_VISION.md\""
      },

      "fix_command": "sed -i 's/social_posting_orchestrator_v1/ai_delegation_orchestrator_v2_production/g' docs/AI_COLLABORATIVE_SOCIAL_POSTING_VISION.md",
      "verify_command": "grep -q 'ai_delegation_orchestrator_v2_production' docs/AI_COLLABORATIVE_SOCIAL_POSTING_VISION.md",
      "success_criteria": "Exit code 0",
      "rollback_command": "git checkout docs/AI_COLLABORATIVE_SOCIAL_POSTING_VISION.md"
    }
  ],

  "wsp_violations": [
    {
      "roadmap": "O:/Foundups-Agent/modules/infrastructure/wre_core/ROADMAP.md",
      "module": "infrastructure/wre_core",
      "violation_type": "MISSING_SECTION",
      "wsp": "WSP_83",
      "missing": "## Purpose section",
      "priority": "P3",
      "estimated_effort_minutes": 15,
      "recommendation": "Add Purpose section explaining WRE roadmap goals (WSP 83 compliance)"
    },
    {
      "roadmap": "O:/Foundups-Agent/docs/Selenium_Run_History_Mission.md",
      "module": "infrastructure/foundups_selenium",
      "violation_type": "STALE_ROADMAP",
      "wsp": "WSP_22",
      "issue": "No updates in 37 days, no ModLog reference",
      "priority": "P3",
      "estimated_effort_minutes": 30,
      "recommendation": "Update roadmap status or archive if abandoned"
    }
  ],

  "recommendations_by_priority": {
    "P1_CRITICAL": [
      {
        "action": "Add MCP integration to social_media_orchestrator",
        "files": ["docs/AI_COLLABORATIVE_SOCIAL_POSTING_VISION.md"],
        "module": "platform_integration/social_media_orchestrator",
        "task": "Create modules/platform_integration/social_media_orchestrator/mcp/ with manifest + server",
        "estimated_effort": "3 hours",
        "blocking": "AI delegation pipeline (Phase 3 roadmap item)"
      },
      {
        "action": "Complete MCP federation protocol",
        "files": ["docs/MCP_FEDERATED_NERVOUS_SYSTEM.md"],
        "module": "infrastructure/mcp_manager",
        "task": "Implement modules/infrastructure/mcp_manager/mcp/federation_protocol.py",
        "estimated_effort": "4 hours",
        "blocking": "Cross-MCP communication (Phase 2 roadmap item)"
      }
    ],

    "P2_HIGH": [
      {
        "action": "Update outdated skills references (3 files)",
        "files": [
          "docs/SPRINT_4_UI_TARS_STATUS.md (line 67)",
          "docs/GRADUATED_AUTONOMY_SYSTEM_DESIGN.md (line 123)",
          "docs/AI_COLLABORATIVE_SOCIAL_POSTING_VISION.md (line 89)"
        ],
        "task": "Replace deprecated skill_ids with current production versions",
        "estimated_effort": "20 minutes",
        "automated": true,
        "fix_commands": [
          "sed -i 's/ui_tars_old_scheduler/ui_tars_scheduler_v2_production/g' docs/SPRINT_4_UI_TARS_STATUS.md",
          "# Qwen can auto-update other 2 files with context-aware replacement"
        ]
      }
    ],

    "P3_MEDIUM": [
      {
        "action": "Fix WSP violations (2 roadmaps)",
        "files": [
          "modules/infrastructure/wre_core/ROADMAP.md",
          "docs/Selenium_Run_History_Mission.md"
        ],
        "task": "Add missing sections (Purpose, ModLog refs) or archive stale roadmaps",
        "estimated_effort": "45 minutes"
      },
      {
        "action": "Complete 2 roadmaps below 50%",
        "files": [
          "docs/Selenium_Run_History_Mission.md (25% complete)",
          "docs/AI_Delegation_Pipeline_Architecture.md (40% complete)"
        ],
        "task": "Review roadmap relevance, complete or archive",
        "estimated_effort": "Varies (2-8 hours depending on scope)"
      }
    ]
  },

  "executive_summary": {
    "total_issues": 8,
    "critical_blockers": 2,
    "quick_wins": 3,
    "technical_debt": 3,
    "estimated_total_effort": "9-17 hours (excluding P3 roadmap completion)",
    "autonomous_execution_ready": 5,
    "requires_0102_design": 2,
    "requires_human_decision": 1
  },

  "autonomous_execution_script": {
    "script_id": "roadmap_audit_fix_20251022_0230.sh",
    "description": "Auto-generated fix script - pipe to bash for autonomous execution",
    "estimated_runtime_seconds": 25,
    "total_token_cost": 470,
    "requires_approval": ["P0_MCP_integration_tasks"],
    "script": "#!/bin/bash\n# Auto-generated roadmap audit fixes\n# Generated: 2025-10-22T02:30:00Z\n# Audit ID: roadmap_audit_20251022_0230\n\nset -e  # Exit on error\n\necho \"=== P3 Quick Wins (Autonomous - No Approval Required) ===\"\n\n# Fix 1: Update ui_tars_old_scheduler reference\necho \"[1/3] Fixing SPRINT_4_UI_TARS_STATUS.md:67...\"\nsed -i 's/ui_tars_old_scheduler/ui_tars_scheduler_v2_production/g' docs/SPRINT_4_UI_TARS_STATUS.md\npython holo_index.py --search 'ui_tars_scheduler_v2_production' | grep -q SPRINT_4_UI_TARS_STATUS && echo \"✓ Verified\" || echo \"✗ Failed\"\n\n# Fix 2: Update social_posting_orchestrator_v1 reference\necho \"[2/3] Fixing AI_COLLABORATIVE_SOCIAL_POSTING_VISION.md:89...\"\nsed -i 's/social_posting_orchestrator_v1/ai_delegation_orchestrator_v2_production/g' docs/AI_COLLABORATIVE_SOCIAL_POSTING_VISION.md\ngrep -q 'ai_delegation_orchestrator_v2_production' docs/AI_COLLABORATIVE_SOCIAL_POSTING_VISION.md && echo \"✓ Verified\" || echo \"✗ Failed\"\n\n# Fix 3: Context-aware update (Qwen agent)\necho \"[3/3] Fixing GRADUATED_AUTONOMY_SYSTEM_DESIGN.md:123 (Qwen)...\"\npython -m modules.infrastructure.wsp_orchestrator.src.wsp_orchestrator \\\n  --skill qwen_context_aware_patcher \\\n  --file docs/GRADUATED_AUTONOMY_SYSTEM_DESIGN.md \\\n  --old autonomous_fixer_v1_prototype \\\n  --new qwen_autonomous_patcher_v2_production\ngrep -q 'qwen_autonomous_patcher_v2_production' docs/GRADUATED_AUTONOMY_SYSTEM_DESIGN.md && echo \"✓ Verified\" || echo \"✗ Failed\"\n\necho \"\"\necho \"=== P0 Critical (Requires 0102 Approval) ===\"\necho \"Manual execution required:\"\necho \"  1. MCP integration for social_media_orchestrator (MPS: 17, Agent: gemma_mcp_integrator_v1)\"\necho \"     Command: python -m modules.infrastructure.wsp_orchestrator.src.wsp_orchestrator --skill gemma_mcp_integrator --target social_media_orchestrator --validate true\"\necho \"  2. MCP federation protocol (MPS: 19, Requires 0102 design)\"\necho \"     Command: python -m modules.infrastructure.wsp_orchestrator.src.wsp_orchestrator --skill qwen_federation_architect --design-only true\"\necho \"\"\necho \"=== Execution Complete ===\"\necho \"Quick wins executed: 3/3\"\necho \"P0 tasks pending approval: 2\"\necho \"Total token cost: 470 (Qwen + Gemma only)\"\n"
  },

  "learning_feedback": {
    "pattern_extraction": [
      {
        "pattern_type": "outdated_skill_reference",
        "frequency": 3,
        "common_causes": [
          "Skill promoted from prototype → production",
          "Roadmap not updated after skill promotion",
          "Missing automated roadmap sync after skills_manifest.json update"
        ],
        "autonomous_fix_success_rate": 0.98,
        "recommended_wardrobe": "gemma_sed_patcher_v1",
        "store_to": "holo_index/adaptive_learning/roadmap_audit_patterns.jsonl",
        "future_prevention": "Add post-promotion hook: auto-update all roadmaps referencing skill_id"
      },
      {
        "pattern_type": "missing_mcp_integration",
        "frequency": 2,
        "common_causes": [
          "Roadmap mentions MCP but implementation skipped",
          "No WSP 96 compliance check during roadmap creation",
          "MCP integration added to roadmap but not to skills_manifest.json"
        ],
        "autonomous_fix_success_rate": 0.87,
        "recommended_wardrobe": "gemma_mcp_integrator_v1",
        "store_to": "holo_index/adaptive_learning/roadmap_audit_patterns.jsonl",
        "future_prevention": "Validate roadmap MCP references against skills_manifest.json in CI/CD"
      },
      {
        "pattern_type": "dependency_chain_blocker",
        "frequency": 1,
        "common_causes": [
          "Foundation protocol incomplete (MCP federation)",
          "No dependency graph visualization in roadmaps",
          "Phase dependencies not explicitly declared"
        ],
        "autonomous_fix_success_rate": 0.0,
        "recommended_agent": "0102 (architectural design required)",
        "store_to": "holo_index/adaptive_learning/roadmap_audit_patterns.jsonl",
        "future_prevention": "Add dependency_graph field to roadmap YAML frontmatter"
      }
    ],
    "recommendations_for_next_audit": [
      "Add automated roadmap sync after skills_manifest.json changes",
      "Implement WSP 96 validation hook for roadmap creation",
      "Create dependency graph visualizer for roadmaps",
      "Train gemma_roadmap_completer_v1 wardrobe on completion patterns"
    ]
  }
}
```

**Steps**:
1. Aggregate all audit findings with MPS scoring per finding
2. Generate cross-roadmap statistics and dependency chains
3. Map findings to autonomous execution capabilities (which agent can fix?)
4. Generate executable shell script for autonomous fixes
5. Extract learning patterns for future audits
6. Write complete audit report JSON (includes execution script + learning feedback)
7. Write human-readable summary
8. Log: `{"pattern": "audit_report_generated", "value": true, "autonomous_ready": N, "requires_approval": M}`

**Key Additions (First Principles: How can 0102/AI_Overseer use this?)**:
- ✅ **MPS Scoring**: Every finding has Complexity/Importance/Deferability/Impact scores
- ✅ **Agent Mapping**: Each fix mapped to capable agent (gemma_sed_patcher, qwen_context_patcher, etc.)
- ✅ **Executable Script**: `autonomous_execution_script.script` can be piped to bash
- ✅ **Verification Commands**: Know if fix worked (grep, test -f, pytest)
- ✅ **Dependency Chains**: Shows what blocks what (cascade impact)
- ✅ **Learning Feedback**: Stores patterns to `holo_index/adaptive_learning/roadmap_audit_patterns.jsonl`
- ✅ **Rollback Commands**: git checkout if autonomous fix fails

---

## Expected Patterns Summary

```json
{
  "execution_id": "exec_qwen_auditor_001",
  "skill_id": "qwen_roadmap_auditor_v1_prototype",
  "patterns": {
    "roadmaps_discovered": true,
    "completion_analyzed": true,
    "mcp_integration_checked": true,
    "skills_references_checked": true,
    "wsp_compliance_checked": true,
    "audit_report_generated": true
  },
  "roadmaps_audited": 12,
  "issues_found": 8,
  "execution_time_ms": 4500
}
```

**Fidelity Calculation**: `(patterns_executed / 6)` - All 6 steps should run

---

## Audit Criteria Catalog

### 1. Completion Status
**What to Check**:
- Phase completion percentages
- TODO vs DONE items
- In Progress items with no recent updates
- Stale roadmaps (last updated > 6 months ago)

**Gemma Wardrobe**: `roadmap_tracker` (trained on roadmap completion patterns from 012.txt)

### 2. MCP Integration Gaps
**What to Check**:
- Roadmap mentions MCP but no `mcp/` directory in module
- Missing `mcp_manifest.json`
- No MCP tools registered in wsp_orchestrator
- Outdated MCP protocols (pre-WSP 96)

**Detection**: HoloIndex semantic search + file existence checks

### 3. Skills References
**What to Check**:
- References to skills not in `skills_manifest.json`
- Skills in `_prototype` still referenced (should be `_production`)
- Missing skill_id in execution examples
- Old skill naming conventions

**Detection**: Regex extraction + manifest comparison

### 4. WSP Compliance
**What to Check**:
- WSP 83: Missing sections, no doc_index reference
- WSP 22: No ModLog references, missing dates
- WSP 50: No Prerequisites section
- WSP 96: Old skills format (not wardrobe-style)

**Detection**: Section parsing + WSP protocol validation

---

## Real-World Example

**Input**: Audit `docs/AI_COLLABORATIVE_SOCIAL_POSTING_VISION.md`

**Findings**:
```json
{
  "roadmap": "docs/AI_COLLABORATIVE_SOCIAL_POSTING_VISION.md",
  "completion_status": {
    "total_items": 15,
    "complete": 8,
    "in_progress": 3,
    "not_started": 4,
    "completion_pct": 53.3
  },
  "mcp_integration": {
    "mentions_mcp": true,
    "integration_found": false,
    "missing_files": [
      "modules/platform_integration/social_media_orchestrator/mcp/mcp_manifest.json"
    ]
  },
  "skills_references": {
    "outdated": [
      {
        "referenced": "social_posting_orchestrator_v1",
        "suggested": "ai_delegation_orchestrator_v2_production"
      }
    ]
  },
  "wsp_violations": [],
  "recommendations": [
    {
      "priority": "P1",
      "action": "Create MCP integration for social_media_orchestrator",
      "effort": "2-3 hours"
    },
    {
      "priority": "P2",
      "action": "Update skills reference to v2 orchestrator",
      "effort": "5 minutes"
    }
  ]
}
```

---

## Success Criteria

- ✅ Pattern fidelity ≥ 90% (all 6 steps execute)
- ✅ Discover all roadmap files (no false negatives)
- ✅ Accurate completion percentages (±5% error)
- ✅ Zero false positives on MCP integration (verify file existence)
- ✅ All outdated skills references detected
- ✅ Actionable recommendations with effort estimates

---

## Next Steps

After audit report generated:
1. **Human reviews** recommendations
2. **0102 creates issues** for P1 items in tracking system
3. **Qwen updates roadmaps** automatically for P2 items (outdated references)
4. **Gemma validates** updates match expected patterns
5. **Cycle repeats** monthly for continuous roadmap health

---

**Status**: ✅ Ready for prototype testing - Audit all roadmaps in docs/ and modules/