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adversarial-review对抗性审查

Agent Skill

adversarial-review 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

4,128

周安装

167

GitHub Stars

公开资料未说明

下载量

1,296
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:adversarial-review(对抗性审查)
来源仓库:https://github.com/scott3j/adversarial-review
安装命令:
openclaw skills install adversarial-review
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install adversarial-review

简介

adversarial-review 用于文档对抗性审查,适合在 OpenClaw 中多角度评估内容。

  • 它生成并行评论家视角,收集结构化批判意见。
  • 通过 clawhub 安装后,可结合来源仓库和 README 继续核验流程设计。
  • 安装前需确认权限范围、维护状态及是否触发多代理并行运行。
  • 建议参考原始文档了解循环机制和输出整合方式。

SKILL.md

name
adversarial-review
description
Run a structured adversarial multi-agent review loop on any significant document. Spawns parallel Opus reviewers with different critical lenses, collects structured redlines, then guides farsight through agree/disagree positioning and v2 production. SELF-TRIGGERING: load this skill and run the complexity self-assessment whenever you are about to produce or have just produced any substantial document — score it and offer the review loop if it qualifies. Also load when the user says things like: 'use the review team', 'get the review team on this', 'spin up the reviewers', 'have the team look at this', 'red-team this', 'redline this', 'challenge this', 'critique this', 'tear this apart', 'poke holes in this', 'stress test this', 'pressure test this', 'sanity check this', 'validate this', 'get a second opinion', 'before we build/implement/ship this'.

Adversarial Review

Structured multi-agent review loop. Catches what a single agent misses.

Session store: ~/.openclaw/workspace/reviews/ Process: Init session → spawn Opus reviewers → collect redlines → position on each → produce v2 → deliver


Complexity Self-Assessment

Run this check whenever you produce a substantial document. Score 1 point per signal present. If score ≥ 3, offer the review loop without being asked.

#SignalPoints
1Has multiple interdependent components (failure in one affects others)1
2Involves schema changes, migrations, or index design1
3Irreversible or expensive to undo (data loss, structural rework)1
4Affects production systems, stored data, or external services1
5Introduces new abstractions, taxonomies, or data models1
6Has a defined sequence of steps where order matters1
7Contains security, access control, or permission logic1
8Will be acted on by code or agents without further human review1
9Document is longer than ~500 lines or covers 3+ distinct systems1
10Scott said "let's build this" or "implement this" at any point in the conversation1

Score 0–2 → skip. Simple doc, don't add noise.

Score 3–6 → offer. *"This scores [N]/10 on complexity. Want me to run the review team on it before we act?"*

Score 7–10 → strongly recommend. Don't just offer — make the case. *"This scores [N]/10 on complexity — multiple interdependent systems, production consequences, hard to reverse. I'd strongly recommend running the review team before we act on this. Today's taxonomy strategy was a 10/10 and the review caught 14 issues including multiple production-breaking bugs."*


Quick Reference

StepAction
0. Init sessionscripts/new-review.sh <slug> <path-to-doc>
1. Choose reviewersRead references/review-types.md for the right bundle
2. Spawn reviewerssessions_spawn with model=anthropic/claude-opus-4-6, mode=run — all in parallel
3. WaitReviewers auto-announce. Do NOT poll.
4. Save raw outputWrite each reviewer result to redlines/reviewer-{role}.md
5. Synthesizescripts/synthesize.sh <session-dir> → writes redlines/combined.md
6. PositionAGREE / DISAGREE / MODIFY on every redline → write positions.md
7. Produce v2Write output/{slug}-v2.md incorporating accepted changes + rejected appendix
8. Deliverscripts/cp-output.sh <session-name> <destination>

Session Directory Structure

~/.openclaw/workspace/reviews/{YYYY-MM-DD}-{slug}/
├── input/
│   └── {original-filename}       ← copy of doc being reviewed
├── redlines/
│   ├── reviewer-{role}.md        ← raw output per reviewer
│   └── combined.md               ← synthesize.sh output (sorted by severity)
├── positions.md                  ← farsight agree/disagree log
└── output/
    └── {slug}-v2.md              ← final document

Review Types

Document TypeReviewer AReviewer B
Architecture / strategyTheory & data modelingImplementation & systems
Pipeline / workflowSequencing & dependenciesFailure modes & ops
Schema / migrationSQL correctness & constraintsPerformance & indexes
Security designThreat modelingImplementation gaps
Marketing / positioningMessage clarity & truthCompetitive exposure
API / interface designConsistency & contractsConsumer experience

For full persona prompt templates → read references/reviewer-personas.md For pre-configured bundles → read references/review-types.md


Spawning Reviewers

Spawn ALL reviewers simultaneously — parallel, not sequential. Independent reviewers find different issues.

Model Selection

Doc ScoreDefault ModelRationale
7–10anthropic/claude-opus-4-6Deep reasoning required; subtle architectural flaws need Opus
3–6anthropic/claude-sonnet-4-6Worth trying; structured prompts may close the gap

A/B testing note: If Sonnet misses a CRITICAL issue that Opus would have caught on a 3–6 doc, upgrade that doc type to Opus permanently. Track findings in references/model-notes.md as patterns emerge.

Key parameters for every reviewer spawn:

model: anthropic/claude-opus-4-6   ← or sonnet for 3-6 scored docs
mode: run
runTimeoutSeconds: 300
label: reviewer-{role}

The task field contains the full reviewer prompt from references/reviewer-personas.md plus the document content to review.


Positioning Rules

For EVERY redline, take an explicit position. No skipping.

PositionWhenRequirement
AGREECritique is correct, change should be madeState what changes
DISAGREEOriginal design is defensibleMust provide rationale — not just dismissal
MODIFYIssue is real, suggested resolution is wrongPropose your alternative

All CRITICAL redlines default to AGREE unless strongly defensible. At least 1 DISAGREE expected — if zero, you may be rubber-stamping.

Write positions to positions.md in the session directory.


v2 Requirements

  • Revision table at the top (what changed and why)
  • All AGREE + MODIFY changes incorporated
  • Rejected redlines documented in an appendix ("considered and rejected")
  • Version bumped, date updated
  • Saved to output/{slug}-v2.md

Quality Bar

A good review session produces:

  • ≥2 CRITICAL issues (if zero, reviewers weren't adversarial enough — re-spawn with harder prompt)
  • ≥1 DISAGREE from farsight (if zero, consider whether the doc was genuinely perfect or just unchallenged)
  • A v2 meaningfully different from v1

Redline Format

**[REDLINE-{TYPE}-{NNN}]** {Section reference}
**Claim:** What the document says
**Challenge:** The specific objection or gap
**Severity:** CRITICAL | MAJOR | MINOR
**Suggested Resolution:** What should change

Full spec → read references/redline-format.md

适合场景

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用户想查找某类 Agent Skill 时

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能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

98.98%
按下载量换算1,283

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install adversarial-review 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

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