Skip to content
Agentmart
Submit a tool

interrogate

Adversarial review of a requested diff or design using independent reviewers and a synthesized verdict.

Skill by fullerzz

IndexedMIT★ 2
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/fullerzz-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 of a requested diff or design using independent reviewers and a synthesized verdict.

Use cases: design

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 of a requested diff or design using independent reviewers and a synthesized verdict.
License
MIT
Instructions
13 lines in SKILL.md · view on GitHub

Files (6)

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

SKILL.md (first lines)

# Interrogate

Adversaries try to break the requested change or design. A finding survives only when a run proves it. Report findings; do not apply fixes.

1. Pin scope: what the user names, otherwise the branch diff from its merge base through the working tree. State the intent per [in-your-own-words](../in-your-own-words/SKILL.md) from the request, commits, and PR description. Ask when the intent is unclear.
2. Give each of 2-3 adversaries its own detached worktree outside the target checkout, with the scope's uncommitted changes copied in, untracked files included. Build patches with `git diff --no-ext-diff --binary`, since an external diff tool yields no applicable patch. Run them through the [selected execution method](../z-mode/references/native-hosts.md#execution-selection) and record actual identities; same-model independence is not provider diversity. When the [other-provider route](../z-mode/references/native-hosts.md#other-provider-route) is available and offers a model family other than yours, run one adversary through it in that adversary's worktree. The target checkout and its unrelated work stay untouched.
3. Brief each adversary with the scope, the intent, and: "Break this change. Prove each finding with a run against the real code: a failing test, a repro script, or command output showing the wrong behavior. For a design or plan, run a prototype or probe the current tree. Keep repros in your own worktree. Report each finding with a title, the exact command, the output it printed, and the output the intent requires. Leave out anything you did not run, including style, naming, structure, and risks that need a future change to matter. No findings is a valid result."
4. Wait for terminal results. Rerun each finding's command yourself in a fresh isolated worktree at the scope, carrying over only the repro files it names. Keep a finding when the output shows the failure and the failure breaks the intent; drop the rest. Merge findings that share a root cause. Keep every verified finding, not one adversary's list.
5. Remove the worktrees you created.

Return:
- **Intent**: the restatement.
- **Findings**: for each verified finding, the command, its output, how it breaks the intent, and the adversaries that found it. Say "no verified findings" when none survive.
- **Dropped**: for each adversary, the count of dropped findings and why.

If agents are unavailable, label a parent-only interrogation. A finding nobody could run stays dropped, not promoted on argument.

From fullerzz/agent-skills, MIT.

More from fullerzz/agent-skills

Signals

Stars
2
Forks
0
Open issues
0
Last commit (this folder)
Oct 16, 2026 (15 days ago)

From GitHub (fetched Oct 24, 2026).

Details

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

More from fullerzz

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/fullerzz-interrogate (last updated 2026-10-24)