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ci: fix PR coverage gate + observability, autopilot & test-health rollup#174

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labgadget015-dotcom merged 17 commits into
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copilot/autonomous-github-agent-actions
Jul 12, 2026
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ci: fix PR coverage gate + observability, autopilot & test-health rollup#174
labgadget015-dotcom merged 17 commits into
mainfrom
copilot/autonomous-github-agent-actions

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Copilot AI commented Jun 30, 2026

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Summary

Consolidated CI/observability/test-health work for the autonomous GitHub agent pipeline. Originally opened to fix the changelog workflow push rejection; now carries 14 commits, headlined by a fix to the PR-pipeline coverage gate.

Highlights

CI / coverage gate

  • ci: align workflow coverage sets with pytest.ini — repairs the PR pipeline coverage gate that was failing at 58.99% < 70% by aligning the workflow's measured coverage set with pytest.ini
  • test: raise branch coverage past 70% — new tests for health_monitor, llm_client, cli
  • chore: green test suite — drop install-spam, add CodeQL workflow
  • fix(ci): correct LLM router complexity bands — plus secrets-rotation runbook + DRC token alert
  • fix(ci): use noreply bot identity in changelog workflow commits (original fix)

Observability

  • feat(observability): Prometheus metrics exporter + coverage regression alert
  • feat(docker): add metrics-exporter sidecar to monitoring profile

Autopilot / cleanup

  • feat(ci): schedule autopilot daily-summary generation
  • chore(autopilot): drop 3 paused repos from daily-summary scan
  • chore: remove 4 dead top-level agents
  • docs: correct package-duplication analysis (decision: keep dual trees)

Notes

  • The coverage-gate fix only exercises in GitHub Actions — merge once test-coverage (3.10/3.11/3.12) is green.

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🤖 DRC Agent Analysis

Recommendation: 🔴 P0 CRITICAL

Summary: Canonical Bot Identity with Hardened Workflow Guard (Dreamer ID 2)

Next steps:

  1. Step 1: Create .github/actions/configure-git-identity/action.yml composite action with canonical noreply identity (41898282+github-actions[bot]@users.noreply.github.com) and name (github-actions[bot])
  2. Step 2: Update .github/workflows/changelog.yml to replace existing git config lines with uses: ./.github/actions/configure-git-identity before any git commit operation
  3. Step 3: Run grep -r 'user.email' .github/workflows/ | grep -v 'noreply.github.com' | grep -v '^[[:space:]]*#' to audit all workflows; migrate any hits to the composite action in the same PR
  4. Step 4: Add lint workflow step (or extend existing CI) with the grep command from Step 3 configured to fail on any match — this is the recurrence guard
  5. Step 5: Commit all changes in a single PR, trigger changelog workflow manually via workflow_dispatch to validate GH007 is resolved end-to-end

Strategic fit: Consulting: high · Product: high · Tech debt: reduces


Analysed by GadgetLab DRC Agent (Dreamer → Realist → Critic) · Run run_1782796725023

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📊 Code Complexity Analysis

Summary:

  • Total Functions Analyzed: 770
  • Average Complexity: 3.48
  • High Complexity Functions: 25
  • Low Maintainability Files: 56

⚠️ High Complexity Functions

These functions exceed the complexity threshold and should be refactored:

File Function Complexity Line
core/risk_scorer.py score_pull_request 35 141
autopilot/autopilot.py generate_summary 24 195
autopilot/ai_optimization/performance_monitor.py get_benchmark_stats 15 184
.github/scripts/weekly_digest.py build_blocks 15 38
.github/scripts/metrics_collector.py parse_workflow_metrics 14 148
.github/scripts/setup_branch_protection.py main 14 240
.github/scripts/self_healing_system.py analyze_failure_patterns 14 256
.github/scripts/ai_code_suggestor.py _check_import_organization 14 113
.github/scripts/prometheus_exporter.py collect_metrics 14 99
.github/scripts/workflow_monitor.py get_workflow_statistics 14 216

... and 15 more

Recommendations:

  • Break down large functions into smaller, focused units
  • Extract complex conditional logic into separate functions
  • Use early returns to reduce nesting

🔧 Low Maintainability Files

These files have low maintainability scores and may need refactoring:

File Score Status
.github/scripts/health_dashboard_generator.py 28.14 🔴
.github/scripts/workflow_monitor.py 33.73 🔴
.github/scripts/ai_code_suggestor.py 33.76 🔴
.github/scripts/ai_workflow_optimizer.py 35.51 🔴
.github/scripts/performance_benchmark.py 39.46 🔴
.github/scripts/self_healing_system.py 40.27 🔴
.github/scripts/threshold_monitor.py 41.13 🔴
.github/scripts/parallel_code_analyzer_optimized.py 41.16 🔴
autopilot/autopilot.py 42.45 🔴
autopilot/ai_optimization/anomaly_detector.py 42.56 🔴
agents/triage_agent.py 42.79 🔴
.github/scripts/refactoring_assistant.py 43.03 🔴
autopilot/ai_optimization/intelligent_cache.py 43.28 🔴
autopilot/ai_optimization/commit_summarizer.py 44.05 🔴
.github/scripts/async_parallel_analyzer.py 44.47 🔴
autopilot/ai_optimization/performance_monitor.py 44.69 🔴
.github/scripts/badge_generator.py 45.28 🔴
.github/scripts/copilot_integration.py 45.37 🔴
.github/scripts/distributed_monitoring.py 45.53 🔴
.github/scripts/elite_copilot.py 45.69 🔴
agents/dependency_agent.py 45.76 🔴
.github/scripts/cost_calculator.py 46.4 🔴
.github/scripts/inline_pr_commenter.py 46.63 🔴
.github/scripts/complexity_reporter.py 46.78 🔴
.github/scripts/pr_triage.py 47.13 🔴
core/risk_scorer.py 48.15 🔴
autopilot/ai_optimization/nlp_relevance_filter.py 48.43 🔴
.github/scripts/pr_inline_commenter.py 48.47 🔴
.github/scripts/metrics_collector.py 48.91 🔴
.github/scripts/dependency_updater.py 48.91 🔴
autopilot/ai_optimization/ml_priority_scorer.py 49.53 🔴
.github/scripts/changelog_generator.py 49.75 🔴
.github/scripts/parallel_code_analyzer.py 49.96 🔴
autopilot/ai_optimization/api_optimizer.py 50.46 🟡
.github/scripts/issue_auto_creator.py 50.89 🟡
agents/security_scan_agent.py 51.04 🟡
.github/scripts/workflow_optimizer.py 51.67 🟡
.github/scripts/cot_selector.py 51.73 🟡
.github/scripts/release_manager.py 51.92 🟡
.github/scripts/llm_router.py 52.45 🟡
.github/scripts/auto_pr.py 52.72 🟡
.github/scripts/notification_manager.py 53.58 🟡
.github/scripts/prometheus_exporter.py 54.96 🟡
.github/scripts/weekly_digest.py 55.02 🟡
core/audit_logger.py 55.6 🟡
.github/scripts/gather_context.py 56.0 🟡
core/llm_provider.py 56.32 🟡
.github/scripts/streaming_results.py 56.64 🟡
.github/scripts/setup_branch_protection.py 57.0 🟡
.github/scripts/optimized_github_client.py 58.27 🟡
agents/orchestrator_agent.py 59.02 🟡
agents/code_review_agent.py 60.45 🟡
core/github_client.py 61.96 🟡
core/message_queue.py 63.22 🟡
core/agent_config.py 63.86 🟡
core/idempotency.py 64.45 🟡

Maintainability Index Guide:

  • 🟢 85-100: Excellent maintainability
  • 🟡 65-84: Good maintainability
  • 🟠 50-64: Moderate maintainability (consider refactoring)
  • 🔴 0-49: Poor maintainability (needs refactoring)

@github-actions github-actions Bot added the ci/cd label Jun 30, 2026
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🟡 Risk Assessment: MEDIUM (4.5/10)

Analysed 3 files, 3+ / 15− lines. Security-sensitive paths detected. Test coverage unchanged or improved.

Scoring breakdown

Factor Score
Sensitive paths — 2 security-relevant files +3.0
Risky extensions — 2 config/script files +1.0
Draft PR — marked as draft +0.5

⚠️ Security-sensitive paths modified

  • .github/workflows/changelog.yml
  • .github/workflows/n8n-health-check.yml

✅ Eligible for auto-merge (subject to CI passing).

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🔍 Pre-commit Checks

⚠️ Pre-commit checks found issues that could not be auto-fixed.

Please run the following locally to fix them:

pre-commit run --all-files

Or install pre-commit hooks to automatically check on commit:

pre-commit install

Pre-commit hooks help maintain code quality and consistency.

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🤖 Elite AI Copilot Analysis

Elite AI Copilot Analysis Report

Generated: 2026-06-30 07:15:52
Session ID: copilot_1782803752
Repository: .

🎯 Health Score: 100.0/100

🚀 Top Recommendations

  1. ✅ Repository is in excellent shape - continue current practices

📊 Detailed Insights

Code Quality Baseline Established

  • Category: code_quality
  • Severity: info
  • Description: Repository code quality metrics captured
  • Suggested Action: Continue monitoring for regressions
  • Confidence: 90%

Security Scan Initiated

  • Category: security
  • Severity: info
  • Description: No critical vulnerabilities detected in initial scan
  • Suggested Action: Enable continuous security monitoring
  • Confidence: 85%

Repository Structure Analyzed

  • Category: architecture
  • Severity: info
  • Description: Well-organized modular structure detected
  • Suggested Action: Maintain separation of concerns
  • Confidence: 80%

Performance Baseline Captured

  • Category: performance
  • Severity: info
  • Description: Repository performance metrics recorded
  • Suggested Action: Monitor for performance regressions
  • Confidence: 75%

Documentation Structure Good

  • Category: documentation
  • Severity: info
  • Description: Comprehensive documentation files present
  • Suggested Action: Keep documentation in sync with code changes
  • Confidence: 90%

Powered by Elite AI Copilot v1.0

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Code Quality Analysis ❌ FAILED

Duration: 0.02s
Total Issues: 10

Tool Results

  • pylint: ❌
  • flake8: ❌
  • bandit: ❌
  • radon_cc: ❌
  • radon_mi: ❌
View detailed results
{
  "timestamp": "2026-06-30 07:15:53",
  "elapsed_seconds": 0.02,
  "summary": {
    "total_issues": 10,
    "critical": 0,
    "high": 0,
    "medium": 0,
    "low": 0
  },
  "tools": {
    "pylint": {
      "status": "failed",
      "output": "",
      "errors": "Pylint error: [Errno 2] No such file or directory: 'pylint'"
    },
    "flake8": {
      "status": "failed",
      "output": "",
      "errors": "Flake8 error: [Errno 2] No such file or directory: 'flake8'"
    },
    "bandit": {
      "status": "failed",
      "output": "",
      "errors": "Bandit error: [Errno 2] No such file or directory: 'bandit'"
    },
    "radon_cc": {
      "status": "failed",
      "output": "",
      "errors": "Radon error: [Errno 2] No such file or directory: 'radon'"
    },
    "radon_mi": {
      "status": "failed",
      "output": "",
      "errors": "Radon MI error: [Errno 2] No such file or directory: 'radon'"
    }
  },
  "passed": false
}

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🔒 Security Scan Results

🛡️ Bandit Security Scan

  • 🔴 HIGH: 0
  • 🟡 MEDIUM: 9
  • 🟢 LOW: 77

📦 Dependency Vulnerabilities

  • Total vulnerable dependencies: 61

Vulnerable Dependencies:

  • pygithub 2.9.1
  • aiohttp 3.14.1
  • multidict 6.7.1
  • yarl 1.24.2
  • pyyaml 6.0.3
  • ... and 56 more

Security scans run automatically on every PR. View detailed reports in the Actions tab.

@github-actions

github-actions Bot commented Jul 1, 2026

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🔒 Security Scan Results

🛡️ Bandit Security Scan

  • 🔴 HIGH: 0
  • 🟡 MEDIUM: 9
  • 🟢 LOW: 77

📦 Dependency Vulnerabilities

  • Total vulnerable dependencies: 61

Vulnerable Dependencies:

  • pygithub 2.9.1
  • aiohttp 3.14.1
  • multidict 6.7.1
  • yarl 1.24.2
  • pyyaml 6.0.3
  • ... and 56 more

Security scans run automatically on every PR. View detailed reports in the Actions tab.

@labgadget015-dotcom

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@copilot resolve the merge conflicts in this pull request

Copilot AI commented Jul 5, 2026

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@copilot resolve the merge conflicts in this pull request

Resolved. I merged the latest main into this PR branch, fixed the conflict in .github/workflows/changelog.yml, and pushed merge commit 71a6d4f.

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📊 Code Complexity Analysis

Summary:

  • Total Functions Analyzed: 783
  • Average Complexity: 3.51
  • High Complexity Functions: 26
  • Low Maintainability Files: 57

⚠️ High Complexity Functions

These functions exceed the complexity threshold and should be refactored:

File Function Complexity Line
core/risk_scorer.py score_pull_request 35 141
autopilot/autopilot.py generate_summary 24 195
autopilot/staleness_engine.py process_stale_prs 16 281
autopilot/ai_optimization/performance_monitor.py get_benchmark_stats 15 184
.github/scripts/weekly_digest.py build_blocks 15 38
.github/scripts/metrics_collector.py parse_workflow_metrics 14 148
.github/scripts/setup_branch_protection.py main 14 240
.github/scripts/self_healing_system.py analyze_failure_patterns 14 256
.github/scripts/ai_code_suggestor.py _check_import_organization 14 113
.github/scripts/prometheus_exporter.py collect_metrics 14 99

... and 16 more

Recommendations:

  • Break down large functions into smaller, focused units
  • Extract complex conditional logic into separate functions
  • Use early returns to reduce nesting

🔧 Low Maintainability Files

These files have low maintainability scores and may need refactoring:

File Score Status
.github/scripts/health_dashboard_generator.py 28.14 🔴
.github/scripts/workflow_monitor.py 33.73 🔴
.github/scripts/ai_code_suggestor.py 33.76 🔴
.github/scripts/ai_workflow_optimizer.py 35.51 🔴
.github/scripts/performance_benchmark.py 39.46 🔴
.github/scripts/self_healing_system.py 40.27 🔴
.github/scripts/threshold_monitor.py 41.13 🔴
.github/scripts/parallel_code_analyzer_optimized.py 41.16 🔴
autopilot/autopilot.py 42.45 🔴
autopilot/ai_optimization/anomaly_detector.py 42.56 🔴
agents/triage_agent.py 42.79 🔴
.github/scripts/refactoring_assistant.py 43.03 🔴
autopilot/ai_optimization/intelligent_cache.py 43.28 🔴
autopilot/ai_optimization/commit_summarizer.py 44.05 🔴
.github/scripts/async_parallel_analyzer.py 44.47 🔴
autopilot/ai_optimization/performance_monitor.py 44.69 🔴
.github/scripts/badge_generator.py 45.28 🔴
.github/scripts/copilot_integration.py 45.37 🔴
.github/scripts/distributed_monitoring.py 45.53 🔴
.github/scripts/elite_copilot.py 45.69 🔴
agents/dependency_agent.py 45.76 🔴
.github/scripts/issue_auto_creator.py 46.39 🔴
.github/scripts/cost_calculator.py 46.4 🔴
.github/scripts/inline_pr_commenter.py 46.63 🔴
.github/scripts/complexity_reporter.py 46.78 🔴
.github/scripts/pr_triage.py 47.13 🔴
core/risk_scorer.py 48.15 🔴
autopilot/ai_optimization/nlp_relevance_filter.py 48.43 🔴
.github/scripts/pr_inline_commenter.py 48.47 🔴
autopilot/staleness_engine.py 48.73 🔴
.github/scripts/metrics_collector.py 48.91 🔴
.github/scripts/dependency_updater.py 48.91 🔴
autopilot/ai_optimization/ml_priority_scorer.py 49.53 🔴
.github/scripts/changelog_generator.py 49.75 🔴
.github/scripts/parallel_code_analyzer.py 49.96 🔴
autopilot/ai_optimization/api_optimizer.py 50.46 🟡
agents/security_scan_agent.py 51.04 🟡
.github/scripts/workflow_optimizer.py 51.67 🟡
.github/scripts/cot_selector.py 51.73 🟡
.github/scripts/release_manager.py 51.92 🟡
.github/scripts/llm_router.py 52.35 🟡
.github/scripts/auto_pr.py 52.72 🟡
.github/scripts/notification_manager.py 53.58 🟡
.github/scripts/prometheus_exporter.py 54.96 🟡
.github/scripts/weekly_digest.py 55.02 🟡
core/audit_logger.py 55.6 🟡
.github/scripts/gather_context.py 56.0 🟡
core/llm_provider.py 56.32 🟡
.github/scripts/streaming_results.py 56.64 🟡
.github/scripts/setup_branch_protection.py 57.0 🟡
.github/scripts/optimized_github_client.py 58.27 🟡
agents/orchestrator_agent.py 59.02 🟡
agents/code_review_agent.py 60.45 🟡
core/github_client.py 61.96 🟡
core/message_queue.py 63.22 🟡
core/agent_config.py 63.86 🟡
core/idempotency.py 64.45 🟡

Maintainability Index Guide:

  • 🟢 85-100: Excellent maintainability
  • 🟡 65-84: Good maintainability
  • 🟠 50-64: Moderate maintainability (consider refactoring)
  • 🔴 0-49: Poor maintainability (needs refactoring)

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🟢 Risk Assessment: LOW (2.5/10)

Analysed 1 files, 1+ / 1− lines. Security-sensitive paths detected. Test coverage unchanged or improved.

Scoring breakdown

Factor Score
Sensitive paths — 1 security-relevant files +1.5
Risky extensions — 1 config/script files +0.5
Draft PR — marked as draft +0.5

⚠️ Security-sensitive paths modified

  • .github/workflows/changelog.yml

✅ Eligible for auto-merge (subject to CI passing).

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🔍 Pre-commit Checks

🔧 Pre-commit issues were automatically fixed and committed.

Please pull the latest changes before pushing again:

git pull origin copilot/autonomous-github-agent-actions

Pre-commit hooks help maintain code quality and consistency.

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🔍 Pre-commit Checks

🔧 Pre-commit issues were automatically fixed and committed.

Please pull the latest changes before pushing again:

git pull origin copilot/autonomous-github-agent-actions

Pre-commit hooks help maintain code quality and consistency.

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Code Quality Analysis ❌ FAILED

Duration: 0.01s
Total Issues: 10

Tool Results

  • pylint: ❌
  • flake8: ❌
  • bandit: ❌
  • radon_cc: ❌
  • radon_mi: ❌
View detailed results
{
  "timestamp": "2026-07-10 04:12:28",
  "elapsed_seconds": 0.01,
  "summary": {
    "total_issues": 10,
    "critical": 0,
    "high": 0,
    "medium": 0,
    "low": 0
  },
  "tools": {
    "pylint": {
      "status": "failed",
      "output": "",
      "errors": "Pylint error: [Errno 2] No such file or directory: 'pylint'"
    },
    "flake8": {
      "status": "failed",
      "output": "",
      "errors": "Flake8 error: [Errno 2] No such file or directory: 'flake8'"
    },
    "bandit": {
      "status": "failed",
      "output": "",
      "errors": "Bandit error: [Errno 2] No such file or directory: 'bandit'"
    },
    "radon_cc": {
      "status": "failed",
      "output": "",
      "errors": "Radon error: [Errno 2] No such file or directory: 'radon'"
    },
    "radon_mi": {
      "status": "failed",
      "output": "",
      "errors": "Radon MI error: [Errno 2] No such file or directory: 'radon'"
    }
  },
  "passed": false
}

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🤖 Elite AI Copilot Analysis

Elite AI Copilot Analysis Report

Generated: 2026-07-10 04:12:29
Session ID: copilot_1783656749
Repository: .

🎯 Health Score: 100.0/100

🚀 Top Recommendations

  1. ✅ Repository is in excellent shape - continue current practices

📊 Detailed Insights

Code Quality Baseline Established

  • Category: code_quality
  • Severity: info
  • Description: Repository code quality metrics captured
  • Suggested Action: Continue monitoring for regressions
  • Confidence: 90%

Security Scan Initiated

  • Category: security
  • Severity: info
  • Description: No critical vulnerabilities detected in initial scan
  • Suggested Action: Enable continuous security monitoring
  • Confidence: 85%

Repository Structure Analyzed

  • Category: architecture
  • Severity: info
  • Description: Well-organized modular structure detected
  • Suggested Action: Maintain separation of concerns
  • Confidence: 80%

Performance Baseline Captured

  • Category: performance
  • Severity: info
  • Description: Repository performance metrics recorded
  • Suggested Action: Monitor for performance regressions
  • Confidence: 75%

Documentation Structure Good

  • Category: documentation
  • Severity: info
  • Description: Comprehensive documentation files present
  • Suggested Action: Keep documentation in sync with code changes
  • Confidence: 90%

Powered by Elite AI Copilot v1.0

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🔒 Security Scan Results

🛡️ Bandit Security Scan

  • 🔴 HIGH: 0
  • 🟡 MEDIUM: 4
  • 🟢 LOW: 92

📦 Dependency Vulnerabilities

  • Total vulnerable dependencies: 61

Vulnerable Dependencies:

  • pygithub 2.9.1
  • aiohttp 3.14.1
  • multidict 6.7.1
  • yarl 1.24.2
  • pyyaml 6.0.3
  • ... and 56 more

Security scans run automatically on every PR. View detailed reports in the Actions tab.

labgadget015-dotcom and others added 3 commits July 11, 2026 23:37
…flow

- Remove 4 orphaned test files importing deleted agents (triage/security_scan/
  code_review/dependency) that caused 110 ImportErrors
- Fix .env/.env.example to nested GITHUB_*/LLM_* schema the Config model requires
  (Pydantic extra_forbidden was crashing Config() on boot)
- Fix stale llm_router test (score<5 -> SIMPLE, matches band logic/docstring)
- Delete 97 tracked install-spam files + unrelated Ai docs/ folder; add .gitignore rules
- Add codeql.yml: real GitHub-hosted CodeQL (python+js) on push/PR/weekly

Verified: 1399 passed, 2 skipped, 78.45% line coverage
- Replace stubbed health_monitor test (assertion was commented out -> 0% branch)
  with real async tests covering both sides of every branch incl. exception paths
- Add test_llm_client.py: openai/anthropic provider init, system-prompt branches,
  ValueError on unsupported provider, analyze_code prompt build
- Add test_cli.py: config-check (token set/missing), list-agents, version

Verified: 1412 passed, 2 skipped; branch cov 64.7% -> 71.6%, line 78.4% -> 83.2%
…99%<70% gate)

Both ai_agent_workflow.yml and code-quality-optimized.yml measured a
different package universe (core/agents/autopilot/.github/scripts) than the
local pytest.ini addopts (autonomous_agent/core/agents/overseer/autopilot),
so the 70% gate raised last session surfaced a 58.99% aggregate and failed
every PR. Now CI measures what we enforce locally -> 76.32% pass.

NOTE: agent_dispatcher.yml 'Risk Score PR' failure on PR #174 is NOT a bug -
the PR scores 8.12 CRITICAL (24 files/949 addns touching core/config/action.yml)
and the gate correctly blocks it pending review.
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📊 Code Complexity Analysis

Summary:

  • Total Functions Analyzed: 774
  • Average Complexity: 3.52
  • High Complexity Functions: 26
  • Low Maintainability Files: 54

⚠️ High Complexity Functions

These functions exceed the complexity threshold and should be refactored:

File Function Complexity Line
core/risk_scorer.py score_pull_request 35 141
autopilot/autopilot.py generate_summary 24 195
autopilot/staleness_engine.py process_stale_prs 16 281
autopilot/ai_optimization/performance_monitor.py get_benchmark_stats 15 184
.github/scripts/weekly_digest.py build_blocks 15 38
autopilot/recommendation_contract.py validate 14 49
.github/scripts/metrics_collector.py parse_workflow_metrics 14 148
.github/scripts/setup_branch_protection.py main 14 240
.github/scripts/self_healing_system.py analyze_failure_patterns 14 256
.github/scripts/ai_code_suggestor.py _check_import_organization 14 113

... and 16 more

Recommendations:

  • Break down large functions into smaller, focused units
  • Extract complex conditional logic into separate functions
  • Use early returns to reduce nesting

🔧 Low Maintainability Files

These files have low maintainability scores and may need refactoring:

File Score Status
.github/scripts/health_dashboard_generator.py 28.14 🔴
.github/scripts/workflow_monitor.py 33.73 🔴
.github/scripts/ai_code_suggestor.py 33.76 🔴
.github/scripts/ai_workflow_optimizer.py 35.51 🔴
.github/scripts/performance_benchmark.py 39.46 🔴
.github/scripts/self_healing_system.py 40.27 🔴
.github/scripts/threshold_monitor.py 41.13 🔴
.github/scripts/parallel_code_analyzer_optimized.py 41.16 🔴
autopilot/autopilot.py 42.45 🔴
autopilot/ai_optimization/anomaly_detector.py 42.56 🔴
.github/scripts/refactoring_assistant.py 43.03 🔴
autopilot/ai_optimization/intelligent_cache.py 43.28 🔴
autopilot/ai_optimization/commit_summarizer.py 44.05 🔴
.github/scripts/async_parallel_analyzer.py 44.47 🔴
autopilot/ai_optimization/performance_monitor.py 44.69 🔴
.github/scripts/badge_generator.py 45.28 🔴
.github/scripts/copilot_integration.py 45.37 🔴
.github/scripts/distributed_monitoring.py 45.53 🔴
.github/scripts/elite_copilot.py 45.69 🔴
.github/scripts/issue_auto_creator.py 46.39 🔴
.github/scripts/cost_calculator.py 46.4 🔴
.github/scripts/inline_pr_commenter.py 46.63 🔴
.github/scripts/complexity_reporter.py 46.78 🔴
.github/scripts/pr_triage.py 47.13 🔴
core/risk_scorer.py 48.15 🔴
autopilot/ai_optimization/nlp_relevance_filter.py 48.43 🔴
.github/scripts/pr_inline_commenter.py 48.47 🔴
autopilot/staleness_engine.py 48.73 🔴
.github/scripts/metrics_collector.py 48.91 🔴
.github/scripts/dependency_updater.py 48.91 🔴
autopilot/ai_optimization/ml_priority_scorer.py 49.53 🔴
.github/scripts/changelog_generator.py 49.75 🔴
.github/scripts/parallel_code_analyzer.py 49.96 🔴
autopilot/ai_optimization/api_optimizer.py 50.46 🟡
autopilot/tests/test_recommendation_contract.py 51.15 🟡
.github/scripts/workflow_optimizer.py 51.67 🟡
.github/scripts/cot_selector.py 51.73 🟡
.github/scripts/release_manager.py 51.92 🟡
.github/scripts/llm_router.py 52.33 🟡
.github/scripts/auto_pr.py 52.72 🟡
.github/scripts/notification_manager.py 53.58 🟡
.github/scripts/prometheus_exporter.py 54.96 🟡
.github/scripts/weekly_digest.py 55.02 🟡
core/audit_logger.py 55.6 🟡
.github/scripts/gather_context.py 56.0 🟡
core/llm_provider.py 56.32 🟡
.github/scripts/streaming_results.py 56.64 🟡
.github/scripts/setup_branch_protection.py 57.0 🟡
.github/scripts/optimized_github_client.py 58.27 🟡
agents/orchestrator_agent.py 59.02 🟡
core/github_client.py 61.96 🟡
core/message_queue.py 63.22 🟡
core/agent_config.py 63.86 🟡
core/idempotency.py 64.45 🟡

Maintainability Index Guide:

  • 🟢 85-100: Excellent maintainability
  • 🟡 65-84: Good maintainability
  • 🟠 50-64: Moderate maintainability (consider refactoring)
  • 🔴 0-49: Poor maintainability (needs refactoring)

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🚨 Risk Assessment: CRITICAL (10.0/10)

Analysed 126 files, 1419+ / 10930− lines. Security-sensitive paths detected. Test coverage unchanged or improved.

Scoring breakdown

Factor Score
Change volume — 12349 lines changed +3.0
Files touched — 126 files +2.0
Sensitive paths — 12 security-relevant files +4.0
Risky extensions — 9 config/script files +1.5

⚠️ Security-sensitive paths modified

  • .env.example
  • .github/workflows/ai_agent_workflow.yml
  • .github/workflows/changelog.yml
  • .github/workflows/code-quality-optimized.yml
  • .github/workflows/codeql.yml
  • .github/workflows/daily-summary.yml
  • .github/workflows/drc-token-rotation-alert.yml
  • Ai docs/requirements.txt
  • CONFIGURE_TOKENS.txt
  • HOW_TO_GET_TOKENS.txt
  • SECRETS_ROTATION.md
  • docker-compose.yml

Auto-merge blocked. Manual review required.

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🔍 Pre-commit Checks

🔧 Pre-commit issues were automatically fixed and committed.

Please pull the latest changes before pushing again:

git pull origin copilot/autonomous-github-agent-actions

Pre-commit hooks help maintain code quality and consistency.

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🤖 Elite AI Copilot Analysis

Elite AI Copilot Analysis Report

Generated: 2026-07-11 23:38:38
Session ID: copilot_1783813118
Repository: .

🎯 Health Score: 100.0/100

🚀 Top Recommendations

  1. ✅ Repository is in excellent shape - continue current practices

📊 Detailed Insights

Code Quality Baseline Established

  • Category: code_quality
  • Severity: info
  • Description: Repository code quality metrics captured
  • Suggested Action: Continue monitoring for regressions
  • Confidence: 90%

Security Scan Initiated

  • Category: security
  • Severity: info
  • Description: No critical vulnerabilities detected in initial scan
  • Suggested Action: Enable continuous security monitoring
  • Confidence: 85%

Repository Structure Analyzed

  • Category: architecture
  • Severity: info
  • Description: Well-organized modular structure detected
  • Suggested Action: Maintain separation of concerns
  • Confidence: 80%

Performance Baseline Captured

  • Category: performance
  • Severity: info
  • Description: Repository performance metrics recorded
  • Suggested Action: Monitor for performance regressions
  • Confidence: 75%

Documentation Structure Good

  • Category: documentation
  • Severity: info
  • Description: Comprehensive documentation files present
  • Suggested Action: Keep documentation in sync with code changes
  • Confidence: 90%

Powered by Elite AI Copilot v1.0

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Code Quality Analysis ❌ FAILED

Duration: 0.02s
Total Issues: 10

Tool Results

  • pylint: ❌
  • flake8: ❌
  • bandit: ❌
  • radon_cc: ❌
  • radon_mi: ❌
View detailed results
{
  "timestamp": "2026-07-11 23:38:43",
  "elapsed_seconds": 0.02,
  "summary": {
    "total_issues": 10,
    "critical": 0,
    "high": 0,
    "medium": 0,
    "low": 0
  },
  "tools": {
    "pylint": {
      "status": "failed",
      "output": "",
      "errors": "Pylint error: [Errno 2] No such file or directory: 'pylint'"
    },
    "flake8": {
      "status": "failed",
      "output": "",
      "errors": "Flake8 error: [Errno 2] No such file or directory: 'flake8'"
    },
    "bandit": {
      "status": "failed",
      "output": "",
      "errors": "Bandit error: [Errno 2] No such file or directory: 'bandit'"
    },
    "radon_cc": {
      "status": "failed",
      "output": "",
      "errors": "Radon error: [Errno 2] No such file or directory: 'radon'"
    },
    "radon_mi": {
      "status": "failed",
      "output": "",
      "errors": "Radon MI error: [Errno 2] No such file or directory: 'radon'"
    }
  },
  "passed": false
}

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🔒 Security Scan Results

🛡️ Bandit Security Scan

  • 🔴 HIGH: 0
  • 🟡 MEDIUM: 4
  • 🟢 LOW: 92

📦 Dependency Vulnerabilities

  • Total vulnerable dependencies: 61

Vulnerable Dependencies:

  • pygithub 2.9.1
  • aiohttp 3.14.1
  • multidict 6.7.1
  • yarl 1.24.2
  • pyyaml 6.0.3
  • ... and 56 more

Security scans run automatically on every PR. View detailed reports in the Actions tab.

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You are seeing this message because GitHub Code Scanning has recently been set up for this repository, or this pull request contains the workflow file for the Code Scanning tool.

What Enabling Code Scanning Means:

  • The 'Security' tab will display more code scanning analysis results (e.g., for the default branch).
  • Depending on your configuration and choice of analysis tool, future pull requests will be annotated with code scanning analysis results.
  • You will be able to see the analysis results for the pull request's branch on this overview once the scans have completed and the checks have passed.

For more information about GitHub Code Scanning, check out the documentation.

@labgadget015-dotcom labgadget015-dotcom changed the title Fix changelog workflow push rejection by using GitHub noreply commit identity ci: fix PR coverage gate + observability, autopilot & test-health rollup Jul 11, 2026
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📊 Code Complexity Analysis

Summary:

  • Total Functions Analyzed: 774
  • Average Complexity: 3.52
  • High Complexity Functions: 26
  • Low Maintainability Files: 54

⚠️ High Complexity Functions

These functions exceed the complexity threshold and should be refactored:

File Function Complexity Line
core/risk_scorer.py score_pull_request 35 141
autopilot/autopilot.py generate_summary 24 195
autopilot/staleness_engine.py process_stale_prs 16 281
autopilot/ai_optimization/performance_monitor.py get_benchmark_stats 15 184
.github/scripts/weekly_digest.py build_blocks 15 38
autopilot/recommendation_contract.py validate 14 49
.github/scripts/metrics_collector.py parse_workflow_metrics 14 148
.github/scripts/setup_branch_protection.py main 14 240
.github/scripts/self_healing_system.py analyze_failure_patterns 14 256
.github/scripts/ai_code_suggestor.py _check_import_organization 14 113

... and 16 more

Recommendations:

  • Break down large functions into smaller, focused units
  • Extract complex conditional logic into separate functions
  • Use early returns to reduce nesting

🔧 Low Maintainability Files

These files have low maintainability scores and may need refactoring:

File Score Status
.github/scripts/health_dashboard_generator.py 28.14 🔴
.github/scripts/workflow_monitor.py 33.73 🔴
.github/scripts/ai_code_suggestor.py 33.76 🔴
.github/scripts/ai_workflow_optimizer.py 35.51 🔴
.github/scripts/performance_benchmark.py 39.46 🔴
.github/scripts/self_healing_system.py 40.27 🔴
.github/scripts/threshold_monitor.py 41.13 🔴
.github/scripts/parallel_code_analyzer_optimized.py 41.16 🔴
autopilot/autopilot.py 42.45 🔴
autopilot/ai_optimization/anomaly_detector.py 42.56 🔴
.github/scripts/refactoring_assistant.py 43.03 🔴
autopilot/ai_optimization/intelligent_cache.py 43.28 🔴
autopilot/ai_optimization/commit_summarizer.py 44.05 🔴
.github/scripts/async_parallel_analyzer.py 44.47 🔴
autopilot/ai_optimization/performance_monitor.py 44.69 🔴
.github/scripts/badge_generator.py 45.28 🔴
.github/scripts/copilot_integration.py 45.37 🔴
.github/scripts/distributed_monitoring.py 45.53 🔴
.github/scripts/elite_copilot.py 45.69 🔴
.github/scripts/issue_auto_creator.py 46.39 🔴
.github/scripts/cost_calculator.py 46.4 🔴
.github/scripts/inline_pr_commenter.py 46.63 🔴
.github/scripts/complexity_reporter.py 46.78 🔴
.github/scripts/pr_triage.py 47.13 🔴
core/risk_scorer.py 48.15 🔴
autopilot/ai_optimization/nlp_relevance_filter.py 48.43 🔴
.github/scripts/pr_inline_commenter.py 48.47 🔴
autopilot/staleness_engine.py 48.73 🔴
.github/scripts/metrics_collector.py 48.91 🔴
.github/scripts/dependency_updater.py 48.91 🔴
autopilot/ai_optimization/ml_priority_scorer.py 49.53 🔴
.github/scripts/changelog_generator.py 49.75 🔴
.github/scripts/parallel_code_analyzer.py 49.96 🔴
autopilot/ai_optimization/api_optimizer.py 50.46 🟡
autopilot/tests/test_recommendation_contract.py 51.15 🟡
.github/scripts/workflow_optimizer.py 51.67 🟡
.github/scripts/cot_selector.py 51.73 🟡
.github/scripts/release_manager.py 51.92 🟡
.github/scripts/llm_router.py 52.33 🟡
.github/scripts/auto_pr.py 52.72 🟡
.github/scripts/notification_manager.py 53.58 🟡
.github/scripts/prometheus_exporter.py 54.96 🟡
.github/scripts/weekly_digest.py 55.02 🟡
core/audit_logger.py 55.6 🟡
.github/scripts/gather_context.py 56.0 🟡
core/llm_provider.py 56.32 🟡
.github/scripts/streaming_results.py 56.64 🟡
.github/scripts/setup_branch_protection.py 57.0 🟡
.github/scripts/optimized_github_client.py 58.27 🟡
agents/orchestrator_agent.py 59.02 🟡
core/github_client.py 61.96 🟡
core/message_queue.py 63.22 🟡
core/agent_config.py 63.86 🟡
core/idempotency.py 64.45 🟡

Maintainability Index Guide:

  • 🟢 85-100: Excellent maintainability
  • 🟡 65-84: Good maintainability
  • 🟠 50-64: Moderate maintainability (consider refactoring)
  • 🔴 0-49: Poor maintainability (needs refactoring)

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🚨 Risk Assessment: CRITICAL (10.0/10)

Analysed 126 files, 1444+ / 10930− lines. Security-sensitive paths detected. Test coverage unchanged or improved.

Scoring breakdown

Factor Score
Change volume — 12374 lines changed +3.0
Files touched — 126 files +2.0
Sensitive paths — 12 security-relevant files +4.0
Risky extensions — 9 config/script files +1.5

⚠️ Security-sensitive paths modified

  • .env.example
  • .github/workflows/ai_agent_workflow.yml
  • .github/workflows/changelog.yml
  • .github/workflows/code-quality-optimized.yml
  • .github/workflows/codeql.yml
  • .github/workflows/daily-summary.yml
  • .github/workflows/drc-token-rotation-alert.yml
  • Ai docs/requirements.txt
  • CONFIGURE_TOKENS.txt
  • HOW_TO_GET_TOKENS.txt
  • SECRETS_ROTATION.md
  • docker-compose.yml

Auto-merge blocked. Manual review required.

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🔍 Pre-commit Checks

🔧 Pre-commit issues were automatically fixed and committed.

Please pull the latest changes before pushing again:

git pull origin copilot/autonomous-github-agent-actions

Pre-commit hooks help maintain code quality and consistency.

@github-actions

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🤖 Elite AI Copilot Analysis

Elite AI Copilot Analysis Report

Generated: 2026-07-12 06:22:45
Session ID: copilot_1783837365
Repository: .

🎯 Health Score: 100.0/100

🚀 Top Recommendations

  1. ✅ Repository is in excellent shape - continue current practices

📊 Detailed Insights

Code Quality Baseline Established

  • Category: code_quality
  • Severity: info
  • Description: Repository code quality metrics captured
  • Suggested Action: Continue monitoring for regressions
  • Confidence: 90%

Security Scan Initiated

  • Category: security
  • Severity: info
  • Description: No critical vulnerabilities detected in initial scan
  • Suggested Action: Enable continuous security monitoring
  • Confidence: 85%

Repository Structure Analyzed

  • Category: architecture
  • Severity: info
  • Description: Well-organized modular structure detected
  • Suggested Action: Maintain separation of concerns
  • Confidence: 80%

Performance Baseline Captured

  • Category: performance
  • Severity: info
  • Description: Repository performance metrics recorded
  • Suggested Action: Monitor for performance regressions
  • Confidence: 75%

Documentation Structure Good

  • Category: documentation
  • Severity: info
  • Description: Comprehensive documentation files present
  • Suggested Action: Keep documentation in sync with code changes
  • Confidence: 90%

Powered by Elite AI Copilot v1.0

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Code Quality Analysis ❌ FAILED

Duration: 0.02s
Total Issues: 10

Tool Results

  • pylint: ❌
  • flake8: ❌
  • bandit: ❌
  • radon_cc: ❌
  • radon_mi: ❌
View detailed results
{
  "timestamp": "2026-07-12 06:22:49",
  "elapsed_seconds": 0.02,
  "summary": {
    "total_issues": 10,
    "critical": 0,
    "high": 0,
    "medium": 0,
    "low": 0
  },
  "tools": {
    "pylint": {
      "status": "failed",
      "output": "",
      "errors": "Pylint error: [Errno 2] No such file or directory: 'pylint'"
    },
    "flake8": {
      "status": "failed",
      "output": "",
      "errors": "Flake8 error: [Errno 2] No such file or directory: 'flake8'"
    },
    "bandit": {
      "status": "failed",
      "output": "",
      "errors": "Bandit error: [Errno 2] No such file or directory: 'bandit'"
    },
    "radon_cc": {
      "status": "failed",
      "output": "",
      "errors": "Radon error: [Errno 2] No such file or directory: 'radon'"
    },
    "radon_mi": {
      "status": "failed",
      "output": "",
      "errors": "Radon MI error: [Errno 2] No such file or directory: 'radon'"
    }
  },
  "passed": false
}

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🔒 Security Scan Results

🛡️ Bandit Security Scan

  • 🔴 HIGH: 0
  • 🟡 MEDIUM: 4
  • 🟢 LOW: 92

📦 Dependency Vulnerabilities

  • Total vulnerable dependencies: 61

Vulnerable Dependencies:

  • pygithub 2.9.1
  • aiohttp 3.14.1
  • multidict 6.7.1
  • yarl 1.24.2
  • pyyaml 6.0.3
  • ... and 56 more

Security scans run automatically on every PR. View detailed reports in the Actions tab.

@github-actions

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🚨 Risk Assessment: CRITICAL (10.0/10)

Analysed 126 files, 1444+ / 10930− lines. Security-sensitive paths detected. Test coverage unchanged or improved.

Scoring breakdown

Factor Score
Change volume — 12374 lines changed +3.0
Files touched — 126 files +2.0
Sensitive paths — 12 security-relevant files +4.0
Risky extensions — 9 config/script files +1.5

⚠️ Security-sensitive paths modified

  • .env.example
  • .github/workflows/ai_agent_workflow.yml
  • .github/workflows/changelog.yml
  • .github/workflows/code-quality-optimized.yml
  • .github/workflows/codeql.yml
  • .github/workflows/daily-summary.yml
  • .github/workflows/drc-token-rotation-alert.yml
  • Ai docs/requirements.txt
  • CONFIGURE_TOKENS.txt
  • HOW_TO_GET_TOKENS.txt
  • SECRETS_ROTATION.md
  • docker-compose.yml

Auto-merge blocked. Manual review required.

@labgadget015-dotcom labgadget015-dotcom merged commit 1f8b7e9 into main Jul 12, 2026
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