blackfrost-ai/cyber-frost-harness/defensive-remediation

Claude Code and agent skill by blackfrost-ai/cyber-frost-harness

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Convert a confirmed native vulnerability into a minimal robust patch, regression test, variant audit, and deployable detection guidance.

Install

npx vskill@latest install blackfrost-ai/cyber-frost-harness/defensive-remediation

SKILL.md

Defensive remediation

Patch the invariant that failed rather than suppressing the final crash.

Patch design

  • Validate attacker-controlled sizes before arithmetic and allocation.
  • Use checked arithmetic or explicit upper bounds.
  • Keep signedness and units consistent.
  • Reject impossible state transitions early.
  • Preserve ownership and cleanup invariants on every error path.
  • Avoid silent truncation, wraparound, and partial initialization.

Keep the change narrow enough to review but broad enough to cover sibling paths that share the same invariant.

Verification

Add the minimized trigger as a regression input or unit test. Verify:

  • the original vulnerable build reproduces the failure;
  • the patched build handles or rejects the input cleanly;
  • ordinary corpus inputs remain valid;
  • sanitizer runs remain clean;
  • nearby parsers or format variants do not contain the same pattern.

Detection output

Describe observable indicators at the right layer: malformed field combinations, parser error signatures, crashing stack family, affected input type, service process behavior, and logging points. Prefer durable structural indicators over a hash of one PoC.

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

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