fuzzing-an-api-surface
fuzzing-an-api-surface is an Integration & environment testing skill for AI agents, published by prime-radiant-inc in the serf repository on GitHub. Skillspace rates fuzzing-an-api-surface D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Use when a surface parses untrusted or model-generated input — a wire protocol, tool-call JSON, upstream SSE, an HTTP body — or after a parser/dispatch bug, to fuzz that surface and turn any deterministic failure into a permanent, flake-guarded regression test. Covers picking a seam, choosing oracles beyond "no panic", the portable promoter/schema-generator core, and the safety bounds that keep a fuzzer from executing dangerous handlers.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 81
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
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- 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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