extract
extract is a Personal knowledge & notes skill for AI agents, published by zby in the llm-do repository on GitHub. Skillspace rates extract D (57/100) and it passed the safety scan; the rating is based on static analysis only.
Extract structured knowledge from source material. Two modes — `extract` (default) for comprehensive atomic claim extraction, and `analyze` for design proposals where one impact-analysis note replaces claim decomposition. A relevance filter ("does this change how we build our project?") applies to all modes. For `extract` mode on domain-relevant sources, skip rate must be below 10%. Triggers on "/extract", "/extract [file]", "extract insights", "mine this", "process this".
- Grade
- D
- Quality
- 57 / 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
- 68 / 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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