# Skill Performance Metrics

> Summarize Skill execution duration, success rate, and available run evidence — use when measuring Skill performance from logs and records.

- Skill: `quantumquirkxyz/skill-performance-metrics` (Agent Skill)
- Install (CLI): `npx skillmds@latest add quantumquirkxyz/skill-performance-metrics`
- Raw SKILL.md: https://api.skillmd.com/api/skills/quantumquirkxyz/skill-performance-metrics/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Research & Search
- Author: quantumquirkxyz (https://skillmd.com/u/quantumquirkxyz)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/quantumquirkxyz/skill-performance-metrics

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## Contract

- **Input:** problem or task defined by the skill body.
- **Output:** Markdown artifact or structured result with completion criteria met.
- **Side effects:** none (design/review/documentation only unless explicitly stated).
- **Dependencies:** none (self-contained unless linked to other skills).
- **Stop condition:** all process steps completed; artifact saved; criteria checked.
- **Risk:** low.
- **Boundary:** produces reasoning or documentation artifacts; does not modify external systems unless explicitly instructed.


# Skill Performance Metrics

## Contract

- Input: an execution-record directory.
- Output: sample count, explicit duration availability, average duration, success rate, and cognitive-complexity estimates.
- Boundary: report only available evidence; missing duration data is not zero.

Run `node .agents/skills/platform/skill-lab.mjs metrics`. Use enough execution records to avoid drawing conclusions from one run; report missing duration data instead of treating it as zero.