h-verify
h-verify is a Plan & work review gates skill for AI agents, published by m0n0x41d in the haft repository on GitHub. Skillspace rates h-verify D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Verifies that a recorded DecisionRecord still holds — baseline-vs-measure evidence loop with drift detection per FPF Evidence Decay. Make sure to use this skill whenever the user asks "did dec-X work", "is decision Y still valid", "did the prediction come true", "check if the migration held", "is X stale", "measure that decision against reality", "did we actually fix Z", "is our caching decision still right" — or whenever a shipped decision needs a post-implementation reality-check before further work relies on it. Also use when /h-status surfaces a refresh-due decision. NOT for ad-hoc sanity checks (just run the tests directly). NOT for re-framing the underlying problem (use h-frame).
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 1,391
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
- 84 / 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.