metrics SKILL.md skillA
metrics from rjmurillo/ai-agents is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add rjmurillo/ai-agents/metrics@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- rjmurillo/ai-agents
- Path
.claude/skills/metrics/SKILL.md- Versions recorded
- 5
- Latest version
- v1.0.0, committed Oct 13, 2026
- First version recorded
- Sep 15, 2026
- Size
- 13,239 bytes
- Repository stars
- 48
- License
- MIT
Collect agent usage metrics from git history and generate health reports. Use when measuring agent adoption, reviewing system health, or producing periodic dashboards. Collects Invocation Rate, Coverage, Infrastructure Review, and Usage Distribution. Use when you say "collect agent metrics", "generate metrics dashboard", or "weekly metrics report".
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Agent Metrics Collection Utility ## Purpose This utility collects and reports metrics on agent usage from git history. It collects 4 of the metrics defined in `docs/agent-metrics.md` (Invocation Rate, Coverage, Infrastructure Review, Usage Distribution) for measuring agent system health, effectiveness, and adoption. ## Triggers | Trigger Phrase | Operation | |----------------|-----------| | `collect agent metrics` | Run collect_metrics.py with default 30-day window | | `generate metrics dashboard` | Run with markdown output for reporting | | `check agent adoption rate` | Run and highlight Metric 2 (agent coverage) | | `weekly metrics report` | Run with 7-day window, markdown output | | `export metrics as JSON` | Run with JSON output for automation | --- ## When to Use Use this skill when: - Measuring agent system health or adoption trends - Producing periodic dashboards or reports - Evaluating whether agent usage is balanced across types - Checking infrastructure review coverage Use manual git log inspection instead when: - Investigating a single commit's agent attribution - Debugging a specific CI run's metrics workflow --- ## Process …
Read the whole file at its exact version.
How to install
mdr add rjmurillo/ai-agents/metrics@sha256:082185db2c907e5aThe line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_s2jljx3aot6ar2kq)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Sep 15, 2026 and Oct 13, 2026, about one every 7 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-10-13 | 6887c3b | 13,239 B | A | view · diff |
| v1.0.0 | 2026-09-30 | 924ef31 | 9,917 B | A | view · diff |
| v1.0.0 | 2026-09-25 | 3fda96c | 7,769 B | A | view · diff |
| v1.0.0 | 2026-09-23 | efd148e | 7,483 B | A | view · diff |
| v1.0.0 | 2026-09-15 | 55fc554 | 7,411 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (13239 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
rjmurillo/ai-agents · 48 stars · license MIT · pushed 2026-10-20 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_s2jljx3aot6ar2kq GET https://markdownregistry.com/api/v1/resolve?ref=rjmurillo/ai-agents/metrics GET https://markdownregistry.com/api/v1/blob/082185db2c907e5a91830f22be74f8b2fbe4ed3a00f7380b53224e8ffc5bb498
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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