Individual skill

interrogate

Use for "interrogate", "adversarial review", "multi-model review", "challenge this", "stress test this code", "find blind spots", or "tear this apart". Multiple LLM reviewers challenge changes from independent angles.

skills/interrogate/SKILL.md

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Last checked: Nov 6, 2026

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Repository stars (not skill ratings): 105
Repository last updated: Nov 6, 2026
License: MIT

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codex Repository topic
codex-plugin Repository topic
developer-tools Repository topic
engineering-workflows Repository topic
pstack Repository topic
testing Derived category

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SKILL.mdcore · 4,553 bytes
agents/openai.yamlasset · 291 bytes
references/code-quality-review.mddoc · 5,217 bytes
references/lead-judgment.mddoc · 3,465 bytes
references/reviewer-prompt.mddoc · 2,275 bytes
references/rubric.mddoc · 4,772 bytes

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# Interrogate

Delegation and optional capabilities follow `../poteto-mode/references/codex-agent-runtime.md`.

Spawn one reviewer per configured model to adversarially review code changes. Each model gets the same prompt and rubric. The adversarial signal comes from model diversity, not assigned personas. Models differ in blind spots, priors, and reasoning patterns. Agreement across models is high-confidence signal; lone-model findings are worth reading but lower confidence.

## Step 1, Scope

Identify what to review from context:

- If the user points at specific files or a diff, use that.
- If on a feature branch, run `git diff main...HEAD` (or the appropriate base branch) for the full changeset.
- If the user's message references recent work, gather the relevant files.