feature
feature is a Multi-stage workflow orchestration skill for AI agents, published by crbnos in the carbon repository on GitHub. Skillspace rates feature D (68/100) and it passed the safety scan; the rating is based on static analysis only.
End-to-end feature pipeline that orchestrates /research, /spec-writing, /plan, /execute, /test, and /self-review. At start it picks an autonomy mode (approval-before-each-phase vs fully autonomous) and a phase set (plan + execute are mandatory; research, spec, test, self-review are optional), auto-detected from the request and confirmed with the user when unclear. Keeps a structured run record at .ai/runs/{date}-{slug}.md. Use when building a new feature ("build a feature", "implement X"). Do not use for bug fixes (use /root-cause then /fix). Enter mid-pipeline when an artifact already exists.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 2,264
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 0 other repositories, in 0 collections
- Scope
- Portable: works in any project. Generic feature lifecycle orchestration over standard phase skills
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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