finding-skills
finding-skills is a Skill discovery & installation skill for AI agents, published by UCSB-NLP-Chang in the Skill-Usage repository on GitHub. Skillspace rates finding-skills D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Discovers relevant agent skills from a local index of skills for a given task. Breaks complex tasks into sub-tasks and finds 10 skills across keyword, semantic, and hybrid search. Use when starting a new task, looking for specialized capabilities, or wanting to find best practices for a domain.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 45
Unproven: rated by static analysis only, not yet compared head-to-head.
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
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 1 other repositories, in 0 collections
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.