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.

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

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the vibe-fuzz-parser-inputs skill

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
85
Forks
20
Last commit
Oct 2026
Advanced
Item type
skill
Key
vibe-fuzz-parser-inputs
Source
github.com/ash1794/vibe-engineering