Back to skills
SKILL.md
Metrics Rjmurillo Ai Agents
ASecurityCollect and report metrics on agent usage from git history implementing the 8 key metrics defined in agent-metrics.md for measuring agent system health effectiveness and adoption.
- 666 stars
- 0 votes
- 0 copies
- 0 views
- Added September 2, 2026
Security analysis
100/100npx -y skills add majiayu000/claude-skill-registry --skill metrics-rjmurillo-ai-agents --agent claude-codeAre you the author of Metrics Rjmurillo Ai Agents?
Add the live security badge to your README. It updates with every re-scan.
[](https://www.skillsdirectory.com/skills/majiayu000-metrics-rjmurillo-ai-agents)---
name: metrics
description: Collect and report metrics on agent usage from git history implementing the 8 key metrics defined in agent-metrics.md for measuring agent system health effectiveness and adoption.
license: MIT
metadata:
version: 1.0.0
model: claude-haiku-4-5
---
# Agent Metrics Collection Utility
## Purpose
This utility collects and reports metrics on agent usage from git history. It implements the 8 key metrics defined in `docs/agent-metrics.md` for measuring agent system health, effectiveness, and adoption.
## Available Scripts
| Script | Platform | Usage |
|--------|----------|-------|
| `collect_metrics.py` | Python 3.8+ | Cross-platform |
| `collect-metrics.ps1` | PowerShell 5.1+ | Windows/Linux/macOS |
## Quick Start
### Python
```bash
# Basic usage (30 days, summary output)
python .claude/skills/metrics/collect_metrics.py
# Last 90 days as markdown
python .claude/skills/metrics/collect_metrics.py --since 90 --output markdown
# JSON output for automation
python .claude/skills/metrics/collect_metrics.py --output json
```
### PowerShell
```powershell
# Basic usage (30 days, summary output)
.\.agents\utilities\metrics\collect-metrics.ps1
# Last 90 days as markdown
.\.agents\utilities\metrics\collect-metrics.ps1 -Since 90 -Output Markdown
# JSON output for automation
.\.agents\utilities\metrics\collect-metrics.ps1 -Output Json | ConvertFrom-Json
```
## Metrics Collected
The utility collects the following metrics:
| Metric | Description | Target |
|--------|-------------|--------|
| Metric 1: Invocation Rate | Agent usage distribution | Proportional to task types |
| Metric 2: Agent Coverage | % of commits with agent involvement | 50% |
| Metric 4: Infrastructure Review | % of infra changes with security review | 100% |
| Metric 5: Usage Distribution | Agent utilization patterns | Balanced distribution |
## Detection Patterns
### Agent Detection
The utility detects agents in commit messages using these patterns:
- Direct agent names: `orchestrator`, `analyst`, `architect`, etc.
- Review attribution: `Reviewed by: security`
- Agent tags: `agent: implementer` or `[security-agent]`
### Infrastructure Files
Infrastructure commits are identified by these patterns:
- `.github/workflows/*.yml`
- `.githooks/*`
- `Dockerfile*`
- `*.tf`, `*.tfvars`
- `.env*`
- `.agents/*`
### Commit Types
Conventional commit prefixes are classified:
- `feat:` - Feature
- `fix:` - Bug fix
- `docs:` - Documentation
- `ci:` - CI/CD
- `refactor:` - Refactoring
## Output Formats
### Summary (Default)
Human-readable console output with key metrics highlighted.
### Markdown
Formatted markdown suitable for dashboards and reports. Can be saved directly to `.agents/metrics/` for archival.
### JSON
Structured data for programmatic consumption and CI integration.
## CI Integration
See `.github/workflows/agent-metrics.yml` for automated weekly metrics collection.
The workflow:
1. Runs weekly on Sundays
2. Collects metrics for the previous 7 days
3. Generates a markdown report
4. Creates a PR with the report (if significant changes)
## Manual Report Generation
To generate a monthly dashboard report:
```bash
# Generate report
python .claude/skills/metrics/collect_metrics.py \
--since 30 \
--output markdown \
> .agents/metrics/report-$(date +%Y-%m).md
# Review and commit
git add .agents/metrics/
git commit -m "docs(metrics): add monthly metrics report"
```
## Extending the Utility
### Adding New Metrics
1. Define the metric in `docs/agent-metrics.md`
2. Add collection logic to both scripts
3. Update the output formatters
4. Add tests if applicable
### Adding New Agent Patterns
Update the `AGENT_PATTERNS` / `$AgentPatterns` arrays to detect new agent references.
### Adding Infrastructure Patterns
Update the `INFRASTRUCTURE_PATTERNS` / `$InfrastructurePatterns` arrays for new infrastructure file types.
## Troubleshooting
### No Agents Detected
- Ensure commit messages reference agents explicitly
- Check that conventional commit format is used
- Verify the patterns match your team's conventions
### Git Errors
- Confirm you're in a git repository
- Check that the repository has commits in the date range
- Verify git is available in PATH
## Related Documents
- [Agent Metrics Definition](../../../docs/agent-metrics.md)
- [Dashboard Template](../metrics/dashboard-template.md)
- [Baseline Report](../metrics/baseline-report.md)
- [CI Workflow](../../../.github/workflows/agent-metrics.yml)
Attribution
Comments
Loading comments…
Newsletter
Get the weekly list of safe new skills, and the ones we pulled.