focus
focus is a Summarisation & information digests skill for AI agents, published by stephenturner in the skill-focus repository on GitHub. Skillspace rates focus D (66/100) and it passed the safety scan; the rating is based on static analysis only.
A rigorous, detail-preserving summarization method for academic papers, reports, and long-form documents. Based on the FOCUS workflow (Lin, 2025, Nature Biotechnology). Extracts every key point with specific details and embedded direct quotes, organized section by section, then produces a clean final output with an overview/takeaway. Trigger this skill whenever the user types "/focus", says "summarize with focus", "FOCUS summary", "use the focus method", or asks for a thorough/exhaustive/detailed summary of a paper or document that should capture every key insight. Also trigger when the user wants a summary that preserves direct quotes and specific details (e.g., numbers, effect sizes, comparisons) rather than a high-level gloss.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 50
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
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- 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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