ai-fitness-report
ai-fitness-report is a Session review & learning skill for AI agents, published by BodenHolland in the ai-fitness-report repository on GitHub. Skillspace rates ai-fitness-report D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Analyze the user's own Claude Code conversation archive locally, classify every past prompt into a cultivation-mode regime (skill_building / expert_decision / offload), and write a personal AI-use report. Uses Claude Code itself for the classification — no external API, nothing leaves the user's machine → Anthropic trust boundary. Trigger when the user asks to audit their AI use, generate an AI fitness report, see how they use Claude, understand their own regime distribution, or invokes this skill by name.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 20
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
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
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
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