guardrail
guardrail is an Agent instruction files skill for AI agents, published by theafh in the ai-modules repository on GitHub. Skillspace rates guardrail B (87/100) and it passed the safety scan; the rating is based on static analysis only.
Hub and source of truth for the repo-root guardrail documents (CHARTER.md, ARCHITECTURE.md, TESTING.md, SECURITY.md) that keep AI agents anchored to human intent while a project evolves within its declared boundaries. Explains the doc set, the authority hierarchy, the shared format, and how skills consult the docs, suggests which guardrails fit a repository, and drafts one only on explicit user request. Use when the user asks what guardrail docs are, which ones a repo should adopt, to suggest, bootstrap, set up, or draft a charter, architecture, testing, or security doc, how guardrail docs rank against each other or against CLAUDE.md, AGENTS.md, or GEMINI.md, or how agents consult and enforce these docs. For auditing existing guardrail docs against each other and the codebase, route to guardrail_audit.
- Grade
- B
- Quality
- 87 / 100
- Safety
- Passed
- GitHub stars
- 29
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
- 100 / 100
- Maturity
- Packaged: licensed, with a version or references
- 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
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