tachi-control-analysis
tachi-control-analysis is a Hardening & security compliance skill for AI agents, published by davidmatousek in the tachi repository on GitHub. Skillspace rates tachi-control-analysis C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Domain knowledge for compensating controls analysis — control category definitions with detection patterns, evidence criteria with effectiveness classification, and residual risk calculation with recommendation generation. Loaded on-demand by the control-analyzer agent during codebase scanning and risk assessment phases.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 80
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
- 99 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- 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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