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interrogate

Use for "interrogate", "adversarial review", "multi-model review", "challenge this", "stress test this code", "find blind spots", or "tear this apart".

Skill by rahmanramsi

IndexedMIT★ 3
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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/rahmanramsi-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.

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About

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.

Use cases: testing, ml

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

Tools
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Install scripts
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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
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.
License
MIT
Instructions
68 lines in SKILL.md · view on GitHub

Files (5)

  • SKILL.md
  • code-quality-review.md · references/
  • lead-judgment.md · references/
  • reviewer-prompt.md · references/
  • rubric.md · references/

SKILL.md (first lines)

# Interrogate

Spawn one reviewer per configured model to adversarially review code changes. The adversarial signal comes from model diversity, not assigned personas. The deliverable is a synthesized verdict. Do NOT auto-apply changes.

## 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.

## 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, ask the user before proceeding.

## Step 3, Spawn Reviewers

Read `references/reviewer-prompt.md` and fill in the same template for every reviewer with the stated intent, a path to the diff or file contents, the rubric from `references/rubric.md`, and the code-quality lens from `references/code-quality-review.md`. Write it to a file under `$BB_THREAD_STORAGE`. Tell the reviewers they are read-only (no file edits, no commits).

Launch all reviewers at once as one pstack run ([`../poteto-mode/references/pstack-runs.md`](../poteto-mode/references/pstack-runs.md)): a `panel` with one seat whose model is `{ "role": "interrogate reviewers" }`, labeled `Reviewer {letter}`, with `result: "review"` and no `judge`, since Step 5's lead judgment is yours. The role expands into one reviewer per entry on that line of the pstack `models` setting (`bb pstack models` prints the effective table), so the configured line sets the count. An `inherit-parent` entry runs on this thread's model.

| Reviewer | Default tuple |
|----------|---------------|
| Reviewer A | `claude-code/claude-opus-5-5/xhigh` |
| Reviewer B | `codex/gpt-6.1-sol/xhigh` |

If `bb pstack run start` rejects a configured entry, run that reviewer on its family's table default as an explicit `{ "tuple": … }` seat and say so. Families go by provider: `claude-code` or `codex`. If it rejects a table default, use the closest equivalent from `bb provider models <provider-id> --environment "$BB_ENVIRONMENT_ID" --json` (prefer the same provider and reasoning level), and open a separate PR to update the default table. Do not block the review on the tuple issue. Pick each reviewer's reasoning level for the job, per the Subagents section of the **poteto-mode** skill.

## 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 models raised each one. Findings two or more models raised independently are the highest signal. Read a lone model's finding, but weight it accordingly. Note disagreements. If one model 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 model(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]: [model name], [N findings] (one bullet per reviewer)

### Act On
[Each: description, which models raised it, why it matters.]

### Consider
[Each: description, which models raised it, the tradeoff.]

### Noted
[Brief list.]

### Dismissed
[Each with a brief rationale.]

### Agreement Map
[Where models agreed and diverged, and what that pattern tells us.]

From rahmanramsi/bb-pstack-plugin, MIT.

More from rahmanramsi/bb-pstack-plugin

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Last commit (this folder)
Oct 16, 2026 (12 days ago)

From GitHub (fetched Oct 24, 2026).

Details

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

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Cite this page

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