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Skill evidence / vector-forge
Skill profile

vector-forge

Mutation-driven test vector generation.

What this skill does for you

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.

Quoted from the skill description in the pinned source

Who made it

Publishertrailofbits
Repositoryskills
Installs3,400as of Sep 27, 2026

Use it with Edge

Bring this skill into your Edge workflow. Read the pinned instructions to check its setup.

Security evidence

3 static scans, 0 counted findings. What this means: the listed scanners recorded the results shown for this package revision.

ScannerDateResultFindings
Edge static checks2026-09-27Pass0
Cisco skill-scanner2026-09-27Pass0
Semgrep Edge rules2026-09-27Pass0

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Socket (skills.sh mirror): Version unavailable. Scope: Not supplied by the mirrored record. Revision: not supplied. Raw findings: not supplied. Counted findings: Not supplied.

Snyk (skills.sh mirror): Version unavailable. Scope: Not supplied by the mirrored record. Revision: not supplied. Raw findings: not supplied. Counted findings: Not supplied.

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 0cc1c73a5e96749ab32d7ea5e14892fafa6972ae. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 0cc1c73a5e96749ab32d7ea5e14892fafa6972ae. Raw findings: 1. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 0cc1c73a5e96749ab32d7ea5e14892fafa6972ae. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/trailofbits/skills
Pinned skill file
View source at revision
Revision
0cc1c73a5e96749ab32d7ea5e14892fafa6972ae
Package hash
sha256:0c2e3a309a7c0d2d9710949c4dfee55129ef2b8f1e11173cb12516cca1f7be2d
Licence
CC-BY-SA-4.0