Use for interrogate, adversarial review, multi-model review, challenge this, stress test this code, or find blind spots.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Interrogate
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.
The deliverable is a synthesized verdict. Do NOT auto-apply changes.
## Step 1, Determine 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
Package the diff (or file contents) plus any surrounding context files the reviewers need to understand the code.
## Step 2, State the Intent
Before spawning reviewers, state the intent explicitly. Derive this from:
- The user's message
- Commit messages
- PR description if one exists
- The code itself
Write one clear paragraph. If you're unsure about the intent, ask the user before proceeding.
## Step 3, Spawn Reviewers
…
The line at the top of this page pins the label git:20261006.f349c21, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
GET https://markdownregistry.com/api/v1/artifacts/art_cdwghh6gpomhmxqt
GET https://markdownregistry.com/api/v1/resolve?ref=kunanonj/ai-skills-hub/interrogate
GET https://markdownregistry.com/api/v1/blob/ab78a346310170840146b1ae076feab23ecfd5ee561d0212e7b6a581883dcf09
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
kunanonj/ai-skills-hub · plugins/superstacks/skills/code-review/SKILL.md · Use when reviewing a branch, PR, or WIP since a commit, tag, or merge-base. Two-axis Standards and Spec review via…
kunanonj/ai-skills-hub · plugins/superstacks/skills/diagnosing-bugs/SKILL.md · Use when the user says diagnose or debug this, or reports something broken, throwing, failing, or slow.
kunanonj/ai-skills-hub · plugins/superstacks/skills/domain-modeling/SKILL.md · Use when discussing codebase terminology, writing or editing a GLOSSARY.md, or recording or editing an ADR.
kunanonj/ai-skills-hub · plugins/superstacks/skills/gardening/SKILL.md · Use when finding small maintenance work. One concern per PR, each with a verify command and a small diff budget.
kunanonj/ai-skills-hub · plugins/superstacks/skills/grill-with-docs/SKILL.md · Use when grilling a plan or design that should also produce ADRs and a glossary as you go.
kunanonj/ai-skills-hub · plugins/superstacks/skills/grilling/SKILL.md · Use when the user wants to stress-test a plan, decision, or idea, or uses any grill trigger phrases.
kunanonj/ai-skills-hub · plugins/superstacks/skills/how/SKILL.md · Use for how-does-X-work walkthroughs, placement, ownership, and layering questions before changing code.
kunanonj/ai-skills-hub · plugins/superstacks/skills/intake-triage/SKILL.md · Use when a coordinator has a batch of bug reports, feedback, or alerts. Deduplicate, group, score two-way vs one-way…
kunanonj/ai-skills-hub · plugins/superstacks/skills/mistake-to-constraint/SKILL.md · Use when a mistake repeats. Encode it as the strongest guard — type or runtime, lint, test, directory convention, then…
kunanonj/ai-skills-hub · plugins/superstacks/skills/sample-review/SKILL.md · Use when sampling recently merged PRs against repo standards and CONSTRAINTS.md. Propose environment tightenings, not…
cursor/plugins · pstack/skills/interrogate/SKILL.md · Use for "interrogate", "adversarial review", "multi-model review", "challenge this", "stress test this code", "find…
cursor/plugins · harness/pstack/claude-code/skills/interrogate/SKILL.md · Use for "interrogate", "adversarial review", "multi-model review", "challenge this", "stress test this code", "find…
nightly-labs/openbot · marketplace/production-catalog/bundles/pstack/skills/interrogate/SKILL.md · Use for "interrogate", "adversarial review", "multi-model review", "challenge this", "stress test this code", "find…
michael-denyer/pstack-claude · plugins/pstack/skills/interrogate/SKILL.md · Use for "interrogate", "adversarial review", "multi-model review", "challenge this", "stress test this code", "find…
backnotprop/pstack · skills/interrogate/SKILL.md · Use for "interrogate", "adversarial review", "multi-model review", "challenge this", "stress test this code", "find…
saadshahd/moo.md · hope/skills/interrogate/SKILL.md · Make the user defend a proposal they committed to. Use when a proposal is committed but its decisions are undefended.
iap/pstack-hermes · skills/interrogate/SKILL.md · Use for "interrogate", "adversarial review", "multi-model review", "challenge this", "stress test this code", "find…
barbieri/local-openfinance · .agents/skills/interrogate/SKILL.md · Use for "interrogate", "adversarial review", "multi-model review", "challenge this", "stress test this code", "find…