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cccskills
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interrogate

Use for "interrogate", "adversarial review", "independent review", "challenge this", "stress test this code", "find blind spots", or "tear this apart". Independent reviewers challenge changes from independent angles.

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neohaskell/NeoHaskell星标 348(GitHub 348 + cccskills 0)

实测评分 未实测

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包含的文件(6)

  • SKILL.md3.6 KB
  • agents/openai.yaml43 B
  • references/code-quality-review.md5.2 KB
  • references/lead-judgment.md3.4 KB
  • references/reviewer-prompt.md2.3 KB
  • references/rubric.md5.9 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Interrogate

Use independent reviewers to adversarially review code changes. Use the configured reviewer roles; assigned personas alone do not provide independent review. 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

Follow the delegation instructions in AGENTS.md. Launch independent reviewers through the available delegation interface, using the current environment's configured reviewer roles and supported defaults. Label them Reviewer A, B, and so on. When no reviewer count is configured, use two reviewers. Run them concurrently within available capacity, with read-only access; otherwise state the no-write constraint in their tasks. Report unavailable configuration without inventing identifiers. Shared role configuration is managed separately.

Read references/reviewer-prompt.md and fill in the same template for every reviewer with the stated intent, the diff or file contents, 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]: [reviewer role], [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.]

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中文简介正在准备中。当前显示原文说明。

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中文简介正在准备中。当前显示原文说明。

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中文简介正在准备中。当前显示原文说明。

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中文简介正在准备中。当前显示原文说明。

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中文简介正在准备中。当前显示原文说明。

neohaskell/NeoHaskell3482026年10月27日 更新

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中文简介正在准备中。当前显示原文说明。

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