governance-encoder
governance-encoder is a Design systems & theming skill for AI agents, published by murphytrueman in the design-system-ops repository on GitHub. Skillspace rates governance-encoder D (60/100) and it passed the safety scan; the rating is based on static analysis only.
Convert governance policies into machine-executable JSON constraint files that AI agents and CI pipelines validate against automatically. This produces rule engine files in .ai/governance/, NOT narrative decision records or documentation. Trigger when someone says: encode governance rules, governance as code, automate governance, rule engine, machine-executable constraints, enforce rules automatically, constraint definitions, or anything about converting human-readable policies into structured rules that tools check programmatically. Do NOT trigger for documenting why a decision was made or recording the reasoning behind a choice — use decision-record for those.
- Grade
- D
- Quality
- 60 / 100
- Safety
- Passed
- GitHub stars
- 143
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
- 93 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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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