interrogate
Skill2 starsChanged 7 days agoMITView on GitHub
Has four agents review the same code change independently, each from its own angle (correctness, security, structure, tests), then merges their findings and sorts each into act on, consider, noted, or dismissed. Use for \"interrogate\", \"adversarial review\", \"multi-model review\", \"challenge this\", \"stress test this code\", \"find blind spots\", \"tear this apart\", or as the autopilot's review step.
73 other projects use a version of this, 38 of them edited.
Adopted by
Most recently taken up by
- Yeachan-Heo/oh-my-claude-sisyphustheir own version, first seen Nov 8, 2026
- caidanw/skillsedited, first seen Nov 8, 2026
- thensls/nsls-builder-toolkittheir own version, first seen Nov 8, 2026
- Yeachan-Heo/oh-my-claudecodetheir own version, first seen Nov 8, 2026
- endqwerty/endstackedited, first seen Nov 8, 2026
- MammadovEshgin/clean-code-skilltheir own version, first seen Nov 8, 2026
Used with
Projects with it also use ketchup-video, principle-explain-the-number and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
tristanphvnSkillketchup-video
Catch the user up like /keel:ketchup, with a short silent video of slides for what happened and the waiting calls as text under it. Use for /keel:ketchup-video.
Also in 14 projects that use this
ianclearySkillprinciple-explain-the-number
Apply before you trust, report, or act on a number you measured: a speedup, a regression, a throughput, a latency, or an eval result. Find what limits it, and rule out that it measured something other than the work you think.
Also in 29 projects that use this
eryzerzSkillmake-bot-ui
Use when building a custom UI (page, dashboard, buttons) that should wake a Grok Bot over a webhook, when the user must provide a webhook sender key, or when exposing that UI on Tailscale.
Also in 20 projects that use this
bnemaSkillsetup-pstack
Configure which Pi models pstack uses per role. Detects available provider/model specs and writes pstack's user configuration. Use for /setup-pstack, "configure pstack models", or changing pstack model choices.
Also in 25 projects that use this
ianclearySkillpoteto-help
Guides users through pstack setup, /poteto-mode, and picking the skill, playbook, or principle for a task. Type /poteto-help with a question.
Also in 14 projects that use this
Xia-AtaraxiaSkillbenchmark-checklist
Vets performance measurements for the limiter, tuning, physical limits, errors, repeatability, relevance, and proof that timed work happened. It applies to 'check this benchmark', 'report this speedup', measured regressions, and choosing a library or configuration from numbers. It reports spread and gaps before drawing a conclusion. Not for general testing policy or choosing test oracles - use principle-testing.
Also in 37 projects that use this
Other versions73 projects use a version of this.
Word for word · 0
None found.
Edited · 38
- moeru-ai/xsai★ 66743% same
- uzairansaruzi/p3-stack★ 12629% same
- dsebban/skills★ 7144% same
- overextended/skills★ 2245% same
- Scino/fstack★ 1822% same
- caidanw/skills★ 1162% same
- kkgogogo17/pi-pstack★ 924% same
- 0xrsydn/pstack-pi★ 626% same
- stainless-code/lossless★ 412% same
- anis-dr/skills★ 366% same
28 more not listed
Wrote their own version · 35
- Yeachan-Heo/oh-my-claude-sisyphus★ 41ksame name
- Yeachan-Heo/oh-my-claudecode★ 41ksame name
- backnotprop/pstack★ 3.8ksame name
- savannahfeder/agentbox★ 376same name
- jtaroreh/agystack★ 128same name
- TheOnlyFusionCube/potetos-for-everyone★ 21same name
- creedants/pstack-t3★ 18same name
- painhardcore/pstack★ 18same name
- korallis/skills-collection★ 14same name
- mariusflorescu/pstack-t3★ 13same name
25 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository18 other files it gives its agents.
- approve-planSkill
- check-impactSkill
- context-packSkill
- design-forgeSkill
- deslopSkill
- diagnose-bugSkill
- falsifySkill
- forgeSkill
- gap-analysisSkill
- make-fixtureSkill
- micro-loopSkill
- phased-loopSkill
- pick-tierSkill
- ship-planSkill
- simple-loopSkill
- taste-testSkill
- unslopSkill
- wait-whatSkill
The file
We split this skill into the rules it gives an agent
6 rules. 0 are common, 4 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 73 edited versions we read keep these.
4
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 10
One-angle mode: When the caller names a single angle — a small, everyday change where one careful reader is enough — spawn only that …
- Distinctive: line 18
If the user points at specific files or a diff, use that.
- Distinctive: line 19
If on a feature branch, run git diff main...HEAD (or the appropriate base branch) for the full changeset.
- Distinctive: line 20
If the user's message references recent work, gather the relevant files.
- Very specific: line 24
Prefer the context pack over the diff when it exists: read .plans/<task>/context-pack.md and hand that to the reviewers as the code under …
- Very specific: line 51
Read references/reviewer-prompt.md and fill in the same template for every reviewer with its angle, the stated intent, the context pack or …
“Common” is measured: kept by at least 6 in 10 of the 73 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Interrogate
Spawn four reviewers on the same model to adversarially review code changes. Each owns one angle, so they don't all find the same things. A problem raised from two angles independently is the strongest signal. Spawn all four by default, however small the diff: a small diff is cheap to review, and the angles exist so no single reader decides what's worth checking. The deliverable is a synthesized verdict. Do NOT auto-apply changes.
One-angle mode. When the caller names a single angle — a small, everyday change where one careful reader is enough — spawn only that reviewer and skip the synthesis across angles. Say in the report that the review was single-angle, and which angle it was.
The context pack. When .plans/<task>/context-pack.md exists, the reviewers read that instead of re-deriving the repository. It holds the diff, the touched files, the API contracts and the test entry points, each with a file:line anchor. A reviewer may open a file when the pack points at it, but must not go hunting: the pack exists so the review costs a fraction of a cold start. If there is no pack, build the diff as in Step 1 and say the pack was missing.
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.
Package the diff or file contents with any surrounding context files the reviewers need to understand the code.
Prefer the context pack over the diff when it exists: read .plans/<task>/context-pack.md and hand that to the reviewers as the code under review.
Call budget. A reviewer gets at most 8 tool calls to explore. If it needs more, it must say what it could not check, rather than spend the budget. A reviewer that greps the whole repository has failed the review, not the diff.
Step 2, Intent
Before spawning reviewers, state the intent in one clear paragraph from the user's message, commit messages, the PR description if one exists, and the code. If you're unsure about the intent, take it from the plan, the PR description, or the commits, and say which. Don't stop to ask.
Step 3, Spawn Reviewers
Launch the reviewers in a single message with the Agent tool, each with one angle:
| Subagent | Angle | Rubric sections it goes deepest on |
| Reviewer A | Correctness | Correctness; Root Causes vs. Symptoms |
| Reviewer B | Security | Security |
| Reviewer C | Structure | Structural Integrity; Complexity Budget; the code-quality lens |
| Reviewer D | Tests | Verification |
In one-angle mode, launch only the reviewer for that angle.
One reviewer per turn. The harness takes one subagent call per turn; calls issued in a burst are rejected. Launch the reviewers one per turn, correctness first, and only spend a fan-out token if the harness grants one.
All reviewers run on the model the caller names, or sonnet by default: a review is reading and reasoning over a prepared pack, not deciding what to build. Each gets subagent_type: "general-purpose" and is told to read only: no edits. If the Agent tool rejects the model, use the closest valid one from the error message and say so. Don't block the review on it.
Each reviewer is told to read the context pack first, to stay inside the 8-call budget, and to cite file:line for every finding.
Read references/reviewer-prompt.md and fill in the same template for every reviewer with its angle, the stated intent, the context pack or the diff, the rubric from references/rubric.md, and the code-quality lens from references/code-quality-review.md.
Step 4, Synthesize
As results come back, build a unified picture. Parse every reviewer's findings. Merge findings that describe the same issue differently, and note which reviewers raised each one. Findings two or more reviewers raised independently are the highest signal. Read a lone reviewer's finding, but weight it accordingly. Note disagreements. If one reviewer flags something and another explicitly says the opposite, that is context for the verdict.
Step 5, Lead Judgment
You are the lead reviewer, a pragmatic senior engineer, not a neutral aggregator. Read references/lead-judgment.md for the full framework. Put every finding in one of four buckets, with the reviewer(s) that raised it and a one-line rationale.
- Act on. Real issues affecting correctness, security, or maintainability given the actual goals. They would block a real PR.
- Consider. Legitimate, but you're not sure they outweigh the cost of addressing them now. Worth the user's attention.
- Noted. Technically valid but not actionable. Context-dependent, premature optimization, or low-impact at this stage.
- Dismissed. Wrong, nitpicky, or missing context, with a brief reason.
Output Format
Intent
[The stated intent paragraph from Step 2]
Reviewers
- Reviewer [label]: [angle], [N findings] (one bullet per reviewer)
Act On
[Each: description, which reviewers raised it, why it matters.]
Consider
[Each: description, which reviewers raised it, the tradeoff.]
Noted
[Brief list.]
Dismissed
[Each with a brief rationale.]
Agreement Map
[Where reviewers agreed and diverged, and what that pattern tells us.]
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
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