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Individual AI skill · AI for Inteligencia e Investigación

harness-writing

A fuzzing harness is the entrypoint function that receives random data from the fuzzer and routes it to your system under test (SUT). The quality of your harness directly determines which code paths get exercised and whether critical bugs…

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1Name the real task

Describe the decision or deliverable, not just the topic.

2Provide the evidence

Add source material, audience, limits and known facts.

3Define done

Set format, quality criteria and checks.

Adaptable starting prompt Replace the brackets with your case

Mistakes to avoid

| Issue | Cause | Solution | |-------|-------|----------| | Low executions/sec | Harness is too slow (logging, I/O, complexity) | Profile harness, remove bottlenecks, mock I/O | | No crashes found | Coverage not reaching buggy code | Check coverage, improve harness to reach more paths | | Non-reproducible crashes | Non-determinism or global state | Remove randomness, reset globals between iterations | | Fuzzer exits immediately | Harness calls exit() | Replace exit() with abort() or return error | | Out of memory errors | Memory leaks in harness or SUT | Free allocations, use leak sanitizer to find leaks | | Crashes on empty input | Harness doesn't validate size | Add if (size < MIN_SIZE) return 0; | | Corpus not growing | Inputs too constrained or format too strict | Use FuzzedDataProvider or structure-aware fuzzing |

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AI for Inteligencia e Investigación

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skills/transversal/knowledge/trailofbits-skills/plugins/testing-handbook-skills/skills/harness-writing
Ficha origin
Extracted from SKILL.md
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