analyzing-claude-sessions
analyzing-claude-sessions is an LLM evaluation & observability skill for AI agents, published by amd in the gaia repository on GitHub. Skillspace rates analyzing-claude-sessions D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Analyze your own local Claude Code session transcripts to find what you actually use the agent for, how effective it is, where it fails, and what it costs. Use when asked to mine Claude Code sessions, extract use-cases or workflows from session history, measure agent effectiveness or error rates, analyze token/cost usage, or produce a report on how an agent is really being used.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 1,546
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.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
What the scanner flagged
- mentions secrets in text
Not checked yet
- Category is a classifier prediction; no model has read this skill 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.