harness-design-fuzzing
harness-design-fuzzing is an Application security skill for AI agents, published by provos in the ironcurtain repository on GitHub. Skillspace rates harness-design-fuzzing D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Reference vocabulary for designing instrumented harnesses that drive vulnerability discovery — design classes (trigger-driven vs coverage-driven), tiered scope (T1 isolated function / T2 multi-component / T3 full build), systematic input exploration, the two-coverage distinction (fuzzer-feedback vs audit), existing-fuzzer selection (libFuzzer / AFL++ / Jazzer / atheris / `go test -fuzz`), seed-corpus discipline, diagnostic checkpoints, common pitfalls, and design-document scope. Read when designing or reviewing a harness specification. Stays neutral on language and stack — pulls in the relevant surface skill (e.g. `memory-safety-c-cpp`) for bug-class taxonomy.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 560
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
- 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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