copilot-log-analysis
copilot-log-analysis is an LLM evaluation & observability skill for AI agents, published by rajbos in the ai-engineering-fluency repository on GitHub. Skillspace rates copilot-log-analysis D (55/100) and it passed the safety scan; the rating is based on static analysis only.
Analyzing GitHub Copilot session log files to extract token usage, model information, and interaction data. Use when working with session files, understanding the extension's log analysis methods, or debugging token tracking issues.
- Grade
- D
- Quality
- 55 / 100
- Safety
- Passed
- GitHub stars
- 97
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
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 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
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