fv-docs
fv-docs is a Smart contracts & Web3 skill for AI agents, published by tachyon-zcash in the ragu repository on GitHub. Skillspace rates fv-docs D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Explicitly invoked only. Authoritative reference for the Ragu formal-verification project — Clean DSL semantics (Circuit monad, Expression, Operation, ProvableType, FormalCircuit) and Ragu-side concepts (extraction driver, formal instances, input/output serialization, assumptions, CI). Routes to the live in-tree FV docs; the docs are the spec, not opinion. Pair with /fv-review for opinion / pattern-matching guidance. Invoke when the user types `/fv-docs` or asks for the canonical definition of a Clean / Ragu-FV concept.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 56
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
- Basic: a single SKILL.md
- 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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