rego-fuzzer
rego-fuzzer is an Application security skill for AI agents, published by microsoft in the rego-cpp repository on GitHub. Skillspace rates rego-fuzzer C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Pass the rego-cpp Trieste fuzzer for a given pass collection. Use when: verifying that compiler passes are robust to all valid WF inputs, debugging fuzzer failures, fixing generative testing regressions, or validating pass changes against random inputs. The fuzzer generates random ASTs from the Trieste well-formedness chain and checks that each pass handles all structurally valid inputs without crashing or producing malformed output.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 46
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it looks written only for the repository it lives in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
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
- 99 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
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
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