adversarial-review

Single-critic adversarial stress test of a known artifact : a PR.

What this skill does for you

Single-critic adversarial stress test of a known artifact : a PR, draft, spec, plan, code file, or argument. The reviewer actively tries to break it: edge cases, hidden assumptions, failure modes, logical inconsistencies, security gaps, scalability cliffs, surprising user behavior, counter-examples. Distinct from /council-review, which is for OPEN questions and decisions; this skill is for stress-testing a finished thing. Use when: 'adversarial review', 'red team this', 'find what is wrong', 'tell me why this is wrong', 'pre-mortem this', 'attack this', 'stress test', 'devil's advocate', 'try to break this', or before shipping any artifact where a missed edge case is expensive.

Quoted from the skill description in the pinned source

Who made it

Publisherngmeyer

Repositoryskills

Installs306as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the adversarial-review skill from ngmeyer/skills.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

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

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

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

Scanner scope, raw findings and mirrored provider records

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: 701dfb8bd2ffe22f6aeccc310b6eea3b20462bf1. 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: 701dfb8bd2ffe22f6aeccc310b6eea3b20462bf1. 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: 701dfb8bd2ffe22f6aeccc310b6eea3b20462bf1. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/ngmeyer/skills
Pinned skill file: View source at revision
Revision: 701dfb8bd2ffe22f6aeccc310b6eea3b20462bf1
Package hash: sha256:29b3690c6c4bce0ddf9375a8014c7658e17e6e84cde17260f8d7da35868fc1ea
Licence: MIT