703 technologies fuzzing testing
Skill jabrena/plinth/skills/703-technologies-fuzzing-testing
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Use when you need to add or review fuzz testing for Java APIs with CATS — including contract-driven negative testing, malformed payload validation, boundary input exploration, CI integration, reproducible failures, and local execution guidance. This should trigger for requests such as Add fuzz testing to a Java project; Use CATS for API negative testing; Review CI quality gates for API contract robustness; Improve boundary and malformed input test coverage; Run CATS fuzz tests against an OpenAPI contract. Part of Plinth Toolkit
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SKILL.md
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Java fuzz testing with CATS
Design and implement contract-driven fuzz testing for Java APIs using CATS to uncover edge cases and input-validation defects early.
What is covered in this Skill?
- CATS setup using a trusted local jar or prebuilt image and baseline command usage for OpenAPI-driven fuzzing
- Negative testing strategy for invalid payloads, missing fields, wrong types, and malformed values
- Boundary testing for size, range, format, and enum constraints
- CI integration patterns with actionable logs and reproducible failures
- Local execution workflow for contributors before opening pull requests
- Reporting and triage practices for fuzzing findings
Scope: Focus on HTTP API fuzzing and contract validation with CATS. Use this skill to define practical, repeatable checks in both local and CI workflows.
Constraints
Before applying any fuzz testing changes, ensure the project compiles. If compilation fails, stop immediately. After implementation, regenerate skills and run verification.
- MANDATORY: Run
./mvnw compileormvn compilebefore applying any change - SAFETY: If compilation fails, stop immediately and do not proceed
- MANDATORY: Regenerate skills with
./mvnw clean install -pl skills-generatorafter editing skill XML - VERIFY: Run
./mvnw clean verifyormvn clean verifyafter applying improvements - SUPPLY CHAIN: Use only a verified local
cats/cats.jaror an approved prebuilt image; generated artifacts must depend only on trusted local or approved image inputs - BEFORE APPLYING: Read the reference for detailed examples, good/bad patterns, and constraints
- EDGE CASE: If request scope is ambiguous, stop and ask a clarifying question before applying changes
- EDGE CASE: If required inputs, files, or tooling are missing, report what is missing and ask whether to proceed with setup guidance
When to use this skill
- Add fuzz testing to a Java project
- Use CATS for API negative testing
- Review CI quality gates for API contract robustness
- Improve boundary and malformed input test coverage
- Run CATS fuzz tests against an OpenAPI contract
Workflow
- Read reference and assess project context
Read references/703-technologies-fuzzing-testing.md and inspect current API/context artifacts before proposing changes.
- Gather scope and decide target improvements
Identify requested outcomes, constraints, and the minimum safe set of changes to apply.
- Apply technology-aligned changes
Implement or refactor artifacts following the reference patterns and project conventions.
- Run verification and report results
Execute appropriate checks and summarize what changed, what was verified, and any follow-up actions.
Reference
For detailed guidance, examples, and constraints, see references/703-technologies-fuzzing-testing.md.