embedding-docstring
embedding-docstring is a Docs quality & drift control skill for AI agents, published by KikeVen in the zerikai_memory repository on GitHub. Skillspace rates embedding-docstring D (58/100) and it passed the safety scan; the rating is based on static analysis only.
Audit, write, or improve docstrings, comments, and inline documentation across an entire workspace or specific files in Python, JavaScript, TypeScript, or HTML for embedding quality and semantic searchability. Use this skill whenever the user mentions any of these — audit workspace, review docstrings, fix comments, document functions, improve docs, write docstrings, audit file documentation, embedding quality, clean up comments, document a class, check docstring coverage, audit the whole project — even if they don't use the phrase "vector search" or "embedding". Trigger on any request to audit, write, fix, or improve inline documentation in any supported language, at any scope.
- Grade
- D
- Quality
- 58 / 100
- Safety
- Passed
- GitHub stars
- 32
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
- 82 / 100
- Maturity
- Basic: a single SKILL.md
- 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.