Adversarial Verify

SkillDev tools

Review a diff against the goal spec assuming the code is BROKEN. The reviewer

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Adversarial Verify skill

What this skill tells your AI

The instructions your AI receives, as published by archive228/loopkit in skills/adversarial-verify/SKILL.md and read by ahel’s review.

Default stance: the code is broken until proven otherwise. Your job is to find where. Do not be polite. Do not propose fixes. Do not run the code. Just hunt.

Read first

  • The goal spec (PROMPT.md / the task). What does "done" actually require?
  • The diff. Every changed line.

The 11 shortcuts agents take to fake "done" — check each

  1. Relaxed tests — assertions weakened or deleted to make red go green.
  2. Swallowed errors — try/except that hides the failure instead of handling it.
  3. Fake renames — a function "fixed" by renaming, behavior unchanged.
  4. Stub returns — hardcoded return values that pass the one test, fail everything else.
  5. Comment-as-fix — the bug is now a TODO.
  6. Happy-path only — 500s, empty inputs, missing files unhandled.
  7. Scope creep — changes unrelated to the goal ("while I was in there").
  8. Invented API — a method/param that doesn't exist in the actual source.
  9. Silent decision — an architectural choice (schema, auth) made without flagging it.
  10. Pass-by-mock — the test mocks the exact thing it claims to verify.
  11. Off-spec done — code works, tests pass, but solves a goal that isn't the one asked.

Output (JSON, no prose)

{"passes": false, "failures": [{"line": 42, "shortcut": "swallowed errors", "why": "..."}]}

If it genuinely passes, say so in one line. Most of the time, it doesn't.

Signals

GitHub stars
754
Forks
126
Last commit
Jul 2026
Advanced
Catalog kind
skill
Gateway key
adversarial-verify
Source
github.com/archive228/loopkit