audit-session-metrics

audit-session-metrics is an LLM evaluation & observability skill for AI agents, published by centminmod in the my-claude-code-setup repository on GitHub. Skillspace rates audit-session-metrics D (65/100) and it passed the safety scan; the rating is based on static analysis only.

Audit a session-metrics JSON export for token-usage waste and produce a plain-English findings report. Trigger when the user runs /audit-session-metrics, when session-metrics suggests an audit after an HTML export, or when the user asks to audit / review / find waste in a saved session-metrics JSON. Two modes: "quick" (ratios + cache health + top expensive turns/sessions) and "detailed" (adds CLAUDE.md / settings / re-read scan). Supports session, project, and instance JSON scopes. Args: $ARGUMENTS[0] = quick|detailed, $ARGUMENTS[1] = path to a session-metrics JSON export.

Grade
D
Quality
65 / 100
Safety
Passed
GitHub stars
2,506

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubcentminmod/my-claude-code-setup

Our review

Architecture
78 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
MIT
Adoption
Adopted by 1 other repositories, in 1 collections

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

Better-rated skills in LLM evaluation & observability

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.