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Individual AI skill · AI for Inteligencia e Investigación

vector-forge

Mutation-driven test vector generation. Finds implementations of a cryptographic algorithm or protocol, runs mutation testing to identify escaped mutants, then generates new test vectors that deliberately exercise the uncovered code paths. Compares before/after mutation kill rates to prove vector effectiveness. Use when generating cryptographic test vectors, measuring Wycheproof coverage gaps, finding escaped mutants via mutation testing, creating cross-implementation test suites, or improving test vector coverage for crypto primitives.

Source content · review pending Source language: EN

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When to use it

  • Generating test vectors for cryptographic algorithms or protocols
  • Evaluating how well existing test vectors cover an implementation
  • Finding implementation code paths that no test vector exercises
  • Creating Wycheproof-style cross-implementation test vectors
  • Measuring the concrete coverage value of a test vector suite

When not to use it

  • No implementations exist yet (need code to mutate)
  • Single trivial implementation with no edge cases
  • Testing application logic rather than algorithm implementations
  • The algorithm has no public test vectors to compare against

What you need first

  • trailmark installed — if uv run trailmark fails, run:
  uv pip install trailmark
  • At least one implementation of the target algorithm in a
  • language with mutation testing support

  • A test harness that consumes test vectors and exercises
  • the implementation

  • A mutation testing framework for the target language

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Catalogue path
skills/transversal/knowledge/trailofbits-skills/plugins/trailmark/skills/vector-forge
Ficha origin
Extracted from SKILL.md
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