interrogate
Adversarial review of a requested diff or design using independent reviewers and a synthesized verdict.
Skill by fullerzz
Chalk Labs
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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.
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About
Use cases: design
Reviews
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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.
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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
- Repository
- github.com/fullerzz/agent-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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SkillAFreshness: A★ 2Claude Code +9 - 0.600score
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Catch up on this chat since your last message in plain language, with current PR, CI, and agent status where available and enough context to decide what…
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Find repeated agent mistakes in this repository and prevent recurrence through architecture, types, lint or CI, then behavioral tests, with docs last.
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create-formal-verification-skill
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Generate a reusable project-local skill for model checking or proving code-linked properties.
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Read-only explanations of how a named code subsystem works: entry points, callers, runtime flow, package ownership, and layering.
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Cite this page
interrogate skill. Agent Mart. https://agentmart.dev/skills/fullerzz-interrogate (last updated 2026-10-24)