Skip to content
Agentmart
Submit a tool

interrogate

Adversarial review: three fresh reviewers (correctness and security, maintainability, intent) try to break a change; the lead gives a verdict.

Skill by luizhcrocha

IndexedMIT
Write a review

Chalk Labs

Need help deploying interrogate?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/luizhcrocha-interrogate

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

Adversarial review: three fresh reviewers (correctness and security, maintainability, intent) try to break a change; the lead gives a verdict. Use for "interrogate", "tear this apart", "stress test this", a contested design.

Use cases: design, testing, security, sales

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/interrogate

What's inside

Skill name
interrogate
Description
Adversarial review: three fresh reviewers (correctness and security, maintainability, intent) try to break a change; the lead gives a verdict. Use for "interrogate", "tear this apart", "stress test this", a contested design.
License
MIT
Instructions
105 lines in SKILL.md · view on GitHub

Files (7)

  • SKILL.md
  • lead-judgment.md · references/
  • correctness.md · references/lenses/
  • intent.md · references/lenses/
  • maintainability.md · references/lenses/
  • reviewer-prompt.md · references/
  • rubric.md · references/

SKILL.md (first lines)

# Interrogate

Spawn three reviewers to adversarially review a change. Each gets the same prompt, rubric and code, and one of three lenses. Claude Code has one model family, so the diversity comes from the lenses: each reviewer looks for a different kind of failure. Adapted from poteto's pstack (MIT); the maintainability lens folds in cursor-team-kit's thermo-nuclear code quality review (Cursor, MIT).

The deliverable is a synthesized verdict. Never apply changes: the user decides what to act on.

`tstack:review` is the routine two-axis check against standards and spec; this is the pass that tries to break the change.

## Step 1, Determine scope

- The user points at files, a diff or a revision → that.
- Otherwise the stack since the landing bookmark's remote, `<bookmark>@origin`, the bookmark named by the repo's docs (`master` in most repos, `nix` in dotfiles; docs silent → `trunk()`). The diff is `jj diff --from <fixed> --to @` when the fixed point is an ancestor of `@`, else `jj diff -r '<fixed>..@'`; the commits `'<fixed>..@'`.
- In a repo without jj: `git diff <fixed>...HEAD`, `origin/<default branch>` by default.

Note the scope's commits now, before any reviewer reads: `jj log -r '<the commits>' -T 'change_id.short() ++ "@" ++ commit_id.short() ++ "\n"'` prints each change with the commit the reviewers read, and the verdict carries that list under **Read**. Taken at the end instead, it names a fix squashed in during the review as reviewed.

An empty diff stops here. Note the context files a reviewer needs to understand the code (callers, types, the module the change sits in) as paths.

## Step 2, State the intent

Before spawning reviewers, state the intent explicitly. Derive it from the user's message, the change descriptions, the originating issue or spec (as `tstack:review` step 2 finds it), a PR description if one exists, and the code itself.

Write one clear paragraph, and list the spec sources you found as paths or links. If you're unsure about the intent, ask the user before proceeding.

## Step 3, Spawn reviewers

All three in one message: `general-purpose` agents playing the Reviewer role ([MODELS.md](../../productivity/coordinator/MODELS.md)), in the background (in the foreground in a `claude -p` run, which can exit before a background reviewer returns). Each writes nothing in the repo.

| Reviewer | Lens |
|----------|------|
| A | [references/lenses/correctness.md](references/lenses/correctness.md): correctness and security |
| B | [references/lenses/maintainability.md](references/lenses/maintainability.md): maintainability, code judo, spaghetti, abstraction quality |
| C | [references/lenses/intent.md](references/lenses/intent.md): does the change do what its intent says, all of it and only it |

Fill [references/reviewer-prompt.md](references/reviewer-prompt.md) for each with:

1. The stated intent, plus the spec sources for reviewer C.
2. The code: the diff command and the context file paths; paste the diff too when it is under about 500 lines.
3. The review rubric from [references/rubric.md](references/rubric.md).
4. `{LENS_CONTENTS}`: that reviewer's lens file.

The prompt, rubric and code are the same for all three; only the lens differs.

A small diff you don't trust, whose safety rests on one fact (a shared primitive, a wire format, a teardown path, a cache), also gets `tstack:blast-radius`, run by you while the reviewers work.

## Step 4, Synthesize

As results come back, build a unified picture:

1. **Parse all findings** from the reviewers.
2. **Identify consensus.** Findings raised by 2+ reviewers independently, from different lenses, are highest signal.
3. **Identify lone findings.** Still worth reading, but weight them by how concrete the evidence is.
4. **Deduplicate.** Reviewers may describe the same issue differently. Merge these and note which reviewers raised it.
5. **Note disagreements.** If one reviewer flags something and another explicitly says the opposite, that's useful context for the verdict.

## Step 5, Lead judgment

You are the lead reviewer, a pragmatic senior engineer, not a neutral aggregator. The verdict is a decisive single role: when this session is not on Fable, hand this step to one `general-purpose` agent playing the Decider role with the intent, the diff command, the three reviews and the synthesis from step 4, and present its verdict after checking the findings it leans on. If the Decider's model is unavailable, take its fallback from MODELS.md and say so in the reply. Read [references/lead-judgment.md](references/lead-judgment.md) for the full framework; where it says "model", read "reviewer". Check the findings you lean on against the code: trace the call site, run the repro.

Categorize every finding using these buckets:

- **Act on.** Real issues affecting correctness, security, or maintainability given the actual goals. These would block a real PR.
- **Consider.** Legitimate points, but you're not sure they outweigh the cost of addressing them right now. Worth the user's attention.
- **Noted.** Technically valid but not actionable. Context-dependent, premature optimization, or low-impact given the current stage.
- **Dismissed.** Wrong, nitpicky, or missing context. Brief explanation why.

For each finding, include which reviewer(s) raised it, the category, and a one-line rationale for the categorization.

## Output format

Write the verdict through `tstack:unslop`, in this structure:

### Intent
> [The stated intent paragraph from Step 2]

### Read
`<change>@<commit>, ...`: the list Step 1 noted, unchanged.

### Reviewers
- Reviewer A (correctness and security): [N findings]
- Reviewer B (maintainability): [N findings]
- Reviewer C (intent): [N findings]

### Act On
[Findings that should be addressed. For each: description, which reviewers raised it, why it matters.]

### Consider
[Findings worth thinking about. For each: description, which reviewers raised it, tradeoff involved.]

### Noted
[Valid but low-priority. Brief list.]

### Dismissed
[Rejected findings with brief rationale.]

### Agreement Map
[Where did reviewers agree across lenses, where did they diverge, and what does the pattern tell us?]

The blast-radius safety fact, when you ran it, goes after the Agreement Map with the rung it reached.

An Act on or Consider finding that matches a memo gotcha, or recurs from an earlier review, is named last as a `tstack:lint-evolve` candidate.

In a fleet, record it in the ledger before the stack lands, so `land-check` finds it: `fleet state <dashboard-dir> event --kind reviewed --findings <the Act on count> --changes "<change>@<commit>,..." "interrogated: <the verdict in one line>"`, the `--changes` being the verdict's **Read** list. A bare change id is refused, and a fix squashed in afterwards is re-checked and recorded at its new commit.

From luizhcrocha/skills, MIT.

More from luizhcrocha/skills

Signals

Stars
0
Forks
0
Open issues
0
Last commit (this folder)
Oct 23, 2026 (8 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from luizhcrocha

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get interrogate running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying interrogate?

CallGet help
Cite this page

interrogate skill. Agent Mart. https://agentmart.dev/skills/luizhcrocha-interrogate (last updated 2026-10-24)