vibe-fuzz-parser-inputs

SkillFiles & storage

Generates fuzz test scaffolding for parsers handling external input (YAML, JSON, config files, user input). Seeds corpus from existing fixtures and runs initial pass.

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Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

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vibe-fuzz-parser-inputsStart free

What this skill tells your AI

The instructions your AI receives, as published by ash1794/vibe-engineering in plugins/vibe-engineering/skills/vibe-fuzz-parser-inputs/SKILL.md and read by Ahel’s review.

Every parser will eventually see input you didn't expect. Fuzz testing finds the crashes before production does.

When to Use This Skill

  • Implementing any parser (YAML, JSON, XML, config, DSL)
  • Processing user-supplied input
  • Handling webhook payloads or API responses
  • Parsing file formats

When NOT to Use This Skill

  • The parser is a well-tested standard library (e.g., encoding/json)
  • You're only reading known, controlled input
  • The parser is trivial (e.g., splitting a string by comma)

Steps

Go Fuzz Tests

  1. Create fuzz test file (parser_fuzz_test.go):

    func FuzzParseConfig(f *testing.F) {
        // Seed corpus from existing test fixtures
        files, _ := filepath.Glob("testdata/*.yaml")
        for _, file := range files {
            data, _ := os.ReadFile(file)
            f.Add(data)
        }
    
        // Add targeted seeds
        f.Add([]byte(""))           // empty
        f.Add([]byte("{}"))         // minimal valid
        f.Add([]byte("\x00\x00"))   // binary
    
        f.Fuzz(func(t *testing.T, data []byte) {
            // Should never panic
            result, err := ParseConfig(data)
            if err != nil {
                return // errors are fine
            }
            // If no error, result should be valid
            if result.Name == "" {
                t.Error("parsed successfully but Name is empty")
            }
        })
    }
    
  2. Seed the corpus from:

    • Existing test fixtures
    • Real production examples
    • Known edge cases
    • Minimally valid inputs
    • Binary/garbage data
  3. Run initial fuzz:

    go test -fuzz=FuzzParseConfig -fuzztime=30s
    
  4. Record results:

    • Crashes found
    • New corpus entries generated
    • Edge cases discovered
  5. Fix crashes -- Every panic or unexpected behavior becomes a permanent test case

Other Languages

  • JavaScript/TypeScript: Use jest-fuzz or fast-check property-based testing
  • Python: Use hypothesis for property-based testing
  • Rust: Use cargo-fuzz with libfuzzer

Output Format

Fuzz Test: [Parser Name]

Seeds: X (Y from fixtures, Z manual) Duration: [fuzz time] Corpus growth: X -> Y entries (Z% expansion) Crashes found: N

#Input (hex)Crash TypeFix
1\x00\xff...nil panic in tokenizerAdded nil check at line 42

New Edge Cases Discovered

  1. [Description] -- added as permanent test case

Signals

GitHub stars
162
Forks
40
Last commit
Oct 2026
Advanced
Item type
skill
Key
vibe-fuzz-parser-inputs
Source
github.com/ash1794/vibe-engineering