acceptance
acceptance is a Plan & work review gates skill for AI agents, published by juicesharp in the rpiv-mono repository on GitHub. Skillspace rates acceptance D (65/100) and it passed the safety scan; the rating is based on static analysis only.
Derive an executable acceptance inventory from the verbatim goal — the ID'd observable outcomes the finished work must exhibit, each with a runnable evidence command where one can be derived — and write it to .rpiv/artifacts/acceptance/ in one non-interactive pass. Authored BEFORE any plan exists so the standard of completion cannot inherit the plan's scope: the plan later addresses or explicitly defers each item, the grade panel's completeness dimension anchors on the inventory, and validate executes the evidence commands against the finished tree. Dispatched by the ship and build presets between research and planning.
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 783
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
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
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
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