maintain-awepep-tooling
maintain-awepep-tooling is a Build systems & CI pipelines skill for AI agents, published by zhaisilong in the awesome-peptide repository on GitHub. Skillspace rates maintain-awepep-tooling C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Maintain the awesome-peptide Python tooling and generated README workflow. Use when Codex needs to fix or update awepep package code, Liquid templates, validation checks, pyproject.toml metadata, console scripts, dependency issues, README generation behavior, CI, or documentation for running awe-pep and awe-check.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 44
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it looks written only for the repository it lives in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
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
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- GPL-3.0
- 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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