rego-fuzzer Skill
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 Published by microsoft in rego-cpp.
What is rego-fuzzer Skill?
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 Published by microsoft in rego-cpp. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Testing
- Testing use cases
Technical details
- Install or run with Copy skill directory
When to use rego-fuzzer Skill
- Use it for testing.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/rego-cpp
- Skill file: .github/skills/rego-fuzzer/SKILL.md
What it does
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
Skill instructions
Passing the Rego Fuzzer Verify that rego-cpp compiler passes are robust to all valid inputs by running the Trieste generative fuzzer. When to Use - After modifying or adding a compiler pass - After changing a well-formedness (WF) definition - After adding new AST node types or rewrite rules - When a CI fuzzer run has failed and you need to reproduce and fix the issue - As a final validation step before merging pass pipeline changes Background The regofuzzer tool uses Trieste's generative testing framework. For each pass in a transform pipeline, it: 1. Reads the input well-formedness definition for that pass 2. Generates random ASTs that are structurally valid according to that WF 3. Runs the pass on each generated AST 4. Checks that the output conforms to the pass's output well-formedness definition This catches edge cases that hand-written tests miss — any structurally valid input the WF permits can be generated. Transforms The fuzzer is parameterized by a transform, which is a named
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Frequently asked questions
What is rego-fuzzer?
rego-fuzzer is a open-source AI agent skill with Copy skill directory. 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.
Who is rego-fuzzer best for?
rego-fuzzer is best for reusing agent instructions, scripts, and references, testing workflows.
How do I install rego-fuzzer?
Install or run rego-fuzzer using Copy skill directory. Check rego-fuzzer for the latest setup command.
Is rego-fuzzer actively maintained?
rego-fuzzer may need a closer maintenance check before production use.
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