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Use when measuring agent adoption, reviewing system health, or producing periodic dashboards.","loriensleafs\u002Fbrain","loriensleafs","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F315385?v=4","01M6CCYZETMCJPTHNS258YRCBC","Peter Kloss","01M6CCYZK25T8516A39S9PCJT7",0,"MIT","https:\u002F\u002Fgithub.com\u002Floriensleafs\u002Fbrain\u002Fblob\u002Fmain\u002Ftemplates\u002Fskills\u002Fmetrics\u002FSKILL.md",[],[5,19,20,21,22,23,24,25,26,27,28,29,30,31],"generate","git","collect","adoption","health","dashboards","system","history","haiku","use","devops","periodic","reports","2026-11-10 10:12:30",false,"---\nname: metrics\ndescription: Collect agent usage metrics from git history and generate health reports.\n  Use when measuring agent adoption, reviewing system health, or producing periodic\n  dashboards.\nlicense: MIT\nagents: [analyst, devops]\nmodel: claude-haiku-4-5\nmetadata:\n  version: 1.0.0\n---\n\n# Agent Metrics Collection Utility\n\n## Purpose\n\nThis utility collects and reports metrics on agent usage from git history. It implements the 8 key metrics defined in `docs\u002Fagent-metrics.md` for measuring agent system health, effectiveness, and adoption.\n\n## Triggers\n\n| Trigger Phrase | Operation |\n|----------------|-----------|\n| `collect agent metrics` | Run collect_metrics.ts with default 30-day window |\n| `generate metrics dashboard` | Run with markdown output for reporting |\n| `check agent adoption rate` | Run and highlight Metric 2 (agent coverage) |\n| `weekly metrics report` | Run with 7-day window, markdown output |\n| `export metrics as JSON` | Run with JSON output for automation |\n\n---\n\n## When to Use\n\nUse this skill when:\n\n- Measuring agent system health or adoption trends\n- Producing periodic dashboards or reports\n- Evaluating whether agent usage is balanced across types\n- Checking infrastructure review coverage\n\nUse manual git log inspection instead when:\n\n- Investigating a single commit's agent attribution\n- Debugging a specific CI run's metrics workflow\n\n---\n\n## Process\n\n1. Run the metrics collection script for the desired time range\n2. Review generated reports for agent usage patterns\n3. Identify trends and anomalies in adoption metrics\n\n---\n\n## Anti-Patterns\n\n| Avoid | Why | Instead |\n|-------|-----|---------|\n| Running without specifying time window | Default 30 days may not match your intent | Use --since with explicit day count |\n| Comparing metrics across different time windows | Misleading trends | Normalize to same window size |\n| Ignoring zero agent coverage | Indicates broken detection patterns | Verify commit message conventions match patterns |\n| Manual commit counting | Error-prone, misses patterns | Use the script for consistent detection |\n| Storing JSON output without markdown | Loses human-readable context | Generate both formats for archival |\n\n---\n\n## Verification\n\nAfter execution:\n\n- [ ] Script exits with code 0\n- [ ] Output contains all 4 collected metrics (Invocation Rate, Coverage, Infrastructure Review, Distribution)\n- [ ] Agent coverage percentage is plausible (not 0% unless truly no agent commits)\n- [ ] Time window matches intended period\n- [ ] For markdown output: report file created at expected path\n\n---\n\n## Available Scripts\n\n| Script | Platform | Usage |\n|--------|----------|-------|\n| `scripts\u002Fcollect_metrics.ts` | Bun | Cross-platform |\n\n## Quick Start\n\n```bash\n# Basic usage (30 days, summary output)\nbun run .claude\u002Fskills\u002Fmetrics\u002Fscripts\u002Fcollect_metrics.ts\n\n# Last 90 days as markdown\nbun run .claude\u002Fskills\u002Fmetrics\u002Fscripts\u002Fcollect_metrics.ts --since 90 --output markdown\n\n# JSON output for automation\nbun run .claude\u002Fskills\u002Fmetrics\u002Fscripts\u002Fcollect_metrics.ts --output json\n```\n\n## Metrics Collected\n\nThe utility collects the following metrics:\n\n| Metric | Description | Target |\n|--------|-------------|--------|\n| Metric 1: Invocation Rate | Agent usage distribution | Proportional to task types |\n| Metric 2: Agent Coverage | % of commits with agent involvement | 50% |\n| Metric 4: Infrastructure Review | % of infra changes with security review | 100% |\n| Metric 5: Usage Distribution | Agent utilization patterns | Balanced distribution |\n\n## Detection Patterns\n\n### Agent Detection\n\nThe utility detects agents in commit messages using these patterns:\n\n- Direct agent names: `orchestrator`, `analyst`, `architect`, etc.\n- Review attribution: `Reviewed by: security`\n- Agent tags: `agent: implementer` or `[security-agent]`\n\n### Infrastructure Files\n\nInfrastructure commits are identified by these patterns:\n\n- `.github\u002Fworkflows\u002F*.yml`\n- `.githooks\u002F*`\n- `Dockerfile*`\n- `*.tf`, `*.tfvars`\n- `.env*`\n- `.agents\u002F*`\n\n### Commit Types\n\nConventional commit prefixes are classified:\n\n- `feat:` - Feature\n- `fix:` - Bug fix\n- `docs:` - Documentation\n- `ci:` - CI\u002FCD\n- `refactor:` - Refactoring\n\n## Output Formats\n\n### Summary (Default)\n\nHuman-readable console output with key metrics highlighted.\n\n### Markdown\n\nFormatted markdown suitable for dashboards and reports. Can be saved directly to `.agents\u002Fmetrics\u002F` for archival.\n\n### JSON\n\nStructured data for programmatic consumption and CI integration.\n\n## CI Integration\n\nSee `.github\u002Fworkflows\u002Fagent-metrics.yml` for automated weekly metrics collection.\n\nThe workflow:\n\n1. Runs weekly on Sundays\n2. Collects metrics for the previous 7 days\n3. Generates a markdown report\n4. Creates a PR with the report (if significant changes)\n\n## Manual Report Generation\n\nTo generate a monthly dashboard report:\n\n```bash\n# Generate report\nbun run .claude\u002Fskills\u002Fmetrics\u002Fscripts\u002Fcollect_metrics.ts \\\n    --since 30 \\\n    --output markdown \\\n    > .agents\u002Fmetrics\u002Freport-$(date +%Y-%m).md\n\n# Review and commit\ngit add .agents\u002Fmetrics\u002F\ngit commit -m \"docs(metrics): add monthly metrics report\"\n```\n\n## Extending the Utility\n\n### Adding New Metrics\n\n1. Define the metric in `docs\u002Fagent-metrics.md`\n2. Add collection logic to both scripts\n3. Update the output formatters\n4. Add tests if applicable\n\n### Adding New Agent Patterns\n\nUpdate the `AGENT_PATTERNS` \u002F `$AgentPatterns` arrays to detect new agent references.\n\n### Adding Infrastructure Patterns\n\nUpdate the `INFRASTRUCTURE_PATTERNS` \u002F `$InfrastructurePatterns` arrays for new infrastructure file types.\n\n## Troubleshooting\n\n### No Agents Detected\n\n- Ensure commit messages reference agents explicitly\n- Check that conventional commit format is used\n- Verify the patterns match your team's conventions\n\n### Git Errors\n\n- Confirm you're in a git repository\n- Check that the repository has commits in the date range\n- Verify git is available in PATH\n\n## Related Documents\n\n- [Agent Metrics Definition](..\u002F..\u002F..\u002Fdocs\u002Fagent-metrics.md)\n- [Dashboard Template](..\u002Fmetrics\u002Fdashboard-template.md)\n- [Baseline Report](..\u002Fmetrics\u002Fbaseline-report.md)\n- [CI Workflow](..\u002F..\u002F..\u002F.github\u002Fworkflows\u002Fagent-metrics.yml)\n","# Agent Metrics Collection Utility\n\n## Purpose\n\nThis utility collects and reports metrics on agent usage from git history. It implements the 8 key metrics defined in `docs\u002Fagent-metrics.md` for measuring agent system health, effectiveness, and adoption.\n\n## Triggers\n\n| Trigger Phrase | Operation |\n|----------------|-----------|\n| `collect agent metrics` | Run collect_metrics.ts with default 30-day window |\n| `generate metrics dashboard` | Run with markdown output for reporting |\n| `check agent adoption rate` | Run and highlight Metric 2 (agent coverage) |\n| `weekly metrics report` | Run with 7-day window, markdown output |\n| `export metrics as JSON` | Run with JSON output for automation |\n\n---\n\n## When to Use\n\nUse this skill when:\n\n- Measuring agent system health or adoption trends\n- Producing periodic dashboards or reports\n- Evaluating whether agent usage is balanced across types\n- Checking infrastructure review coverage\n\nUse manual git log inspection instead when:\n\n- Investigating a single commit's agent attribution\n- Debugging a specific CI run's metrics workflow\n\n---\n\n## Process\n\n1. Run the metrics collection script for the desired time range\n2. Review generated reports for agent usage patterns\n3. Identify trends and anomalies in adoption metrics\n\n---\n\n## Anti-Patterns\n\n| Avoid | Why | Instead |\n|-------|-----|---------|\n| Running without specifying time window | Default 30 days may not match your intent | Use --since with explicit day count |\n| Comparing metrics across different time windows | Misleading trends | Normalize to same window size |\n| Ignoring zero agent coverage | Indicates broken detection patterns | Verify commit message conventions match patterns |\n| Manual commit counting | Error-prone, misses patterns | Use the script for consistent detection |\n| Storing JSON output without markdown | Loses human-readable context | Generate both formats for archival |\n\n---\n\n## Verification\n\nAfter execution:\n\n- [ ] Script exits with code 0\n- [ ] Output contains all 4 collected metrics (Invocation Rate, Coverage, Infrastructure Review, Distribution)\n- [ ] Agent coverage percentage is plausible (not 0% unless truly no agent commits)\n- [ ] Time window matches intended period\n- [ ] For markdown output: report file created at expected path\n\n---\n\n## Available Scripts\n\n| Script | Platform | Usage |\n|--------|----------|-------|\n| `scripts\u002Fcollect_metrics.ts` | Bun | Cross-platform |\n\n## Quick Start\n\n```bash\n# Basic usage (30 days, summary output)\nbun run .claude\u002Fskills\u002Fmetrics\u002Fscripts\u002Fcollect_metrics.ts\n\n# Last 90 days as markdown\nbun run .claude\u002Fskills\u002Fmetrics\u002Fscripts\u002Fcollect_metrics.ts --since 90 --output markdown\n\n# JSON output for automation\nbun run .claude\u002Fskills\u002Fmetrics\u002Fscripts\u002Fcollect_metrics.ts --output json\n```\n\n## Metrics Collected\n\nThe utility collects the following metrics:\n\n| Metric | Description | Target |\n|--------|-------------|--------|\n| Metric 1: Invocation Rate | Agent usage distribution | Proportional to task types |\n| Metric 2: Agent Coverage | % of commits with agent involvement | 50% |\n| Metric 4: Infrastructure Review | % of infra changes with security review | 100% |\n| Metric 5: Usage Distribution | Agent utilization patterns | Balanced distribution |\n\n## Detection Patterns\n\n### Agent Detection\n\nThe utility detects agents in commit messages using these patterns:\n\n- Direct agent names: `orchestrator`, `analyst`, `architect`, etc.\n- Review attribution: `Reviewed by: security`\n- Agent tags: `agent: implementer` or `[security-agent]`\n\n### Infrastructure Files\n\nInfrastructure commits are identified by these patterns:\n\n- `.github\u002Fworkflows\u002F*.yml`\n- `.githooks\u002F*`\n- `Dockerfile*`\n- `*.tf`, `*.tfvars`\n- `.env*`\n- `.agents\u002F*`\n\n### Commit Types\n\nConventional commit prefixes are classified:\n\n- `feat:` - Feature\n- `fix:` - Bug fix\n- `docs:` - Documentation\n- `ci:` - CI\u002FCD\n- `refactor:` - Refactoring\n\n## Output Formats\n\n### Summary (Default)\n\nHuman-readable console output with key metrics highlighted.\n\n### Markdown\n\nFormatted markdown suitable for dashboards and reports. Can be saved directly to `.agents\u002Fmetrics\u002F` for archival.\n\n### JSON\n\nStructured data for programmatic consumption and CI integration.\n\n## CI Integration\n\nSee `.github\u002Fworkflows\u002Fagent-metrics.yml` for automated weekly metrics collection.\n\nThe workflow:\n\n1. Runs weekly on Sundays\n2. Collects metrics for the previous 7 days\n3. Generates a markdown report\n4. Creates a PR with the report (if significant changes)\n\n## Manual Report Generation\n\nTo generate a monthly dashboard report:\n\n```bash\n# Generate report\nbun run .claude\u002Fskills\u002Fmetrics\u002Fscripts\u002Fcollect_metrics.ts \\\n    --since 30 \\\n    --output markdown \\\n    > .agents\u002Fmetrics\u002Freport-$(date +%Y-%m).md\n\n# Review and commit\ngit add .agents\u002Fmetrics\u002F\ngit commit -m \"docs(metrics): add monthly metrics report\"\n```\n\n## Extending the Utility\n\n### Adding New Metrics\n\n1. Define the metric in `docs\u002Fagent-metrics.md`\n2. 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Use for attack surface analysis, security architecture review, or when asking what can go wrong.","https:\u002F\u002Fgithub.com\u002Floriensleafs\u002Fbrain\u002Fblob\u002Fmain\u002Ftemplates\u002Fskills\u002Fthreat-modeling\u002FSKILL.md",[],[698,699,700,28,701,671,702,703,704,705,706,707,708,709,710,711,712,713],"threat","threat modeling","prioritization","question","architecture review","stride","analysis","risk","owasp","methodology","framework","security analysis","architecture","security","go","review",{"skillNo":715,"name":716,"nameZh":6,"description":717,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":718,"categories":719,"keywords":725,"publishedAt":32},"01M6CD3BC6G0Q2MDNW6X51XHBQ","taste-lints","Custom lints with agent-readable remediation instructions. Enforces taste invariants (file size, naming conventions, structured logging, complexity) and surfaces errors that agents can act on directly. Use when writing or reviewing code to catch style violations early.","https:\u002F\u002Fgithub.com\u002Floriensleafs\u002Fbrain\u002Fblob\u002Fmain\u002Ftemplates\u002Fskills\u002Ftaste-lints\u002FSKILL.md",[720],{"categoryNo":721,"categoryName":722,"taxonomyType":723,"taxonomyTypeDesc":724},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[726,668,727,728,28,729,730,731,732,733,672,734],"taste lints","surfaces","complexity","instructions","remediation","file","logging","qa","writing",{"skillNo":736,"name":737,"nameZh":6,"description":738,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":739,"categories":740,"keywords":741,"publishedAt":32},"01M6CD37Z7VD22BH42TG0GM66V","style-enforcement","Validate code against style rules from .editorconfig, StyleCop.json, and Directory.Build.props. Detects line ending violations, naming convention issues, indentation problems, and charset mismatches across C#, Python, TypeScript, and JavaScript. Produces JSON reports for pre-commit hooks and CI pipelines.","https:\u002F\u002Fgithub.com\u002Floriensleafs\u002Fbrain\u002Fblob\u002Fmain\u002Ftemplates\u002Fskills\u002Fstyle-enforcement\u002FSKILL.md",[],[742,743,744,745,746,747,668,748,749,750,751,31,733,752,672,753,754,755,756,757],"style enforcement","enforcement","ci","pipelines","directory","hooks","Rules","json","pre-commit","editorconfig","issues","validate","commit","javascript","python","typescript",{"skillNo":759,"name":760,"nameZh":6,"description":761,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":762,"categories":763,"keywords":764,"publishedAt":32},"01M6CD35JW73TPMCZBF9DTDEE8","steering-matcher","Match file paths against steering file glob patterns to determine applicable steering guidance. Use when orchestrator needs to inject context-aware guidance based on files being modified.","https:\u002F\u002Fgithub.com\u002Floriensleafs\u002Fbrain\u002Fblob\u002Fmain\u002Ftemplates\u002Fskills\u002Fsteering-matcher\u002FSKILL.md",[],[765,28,766,27,688,767,687,731],"steering matcher","files","orchestrator"]