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Agent Skill · 研究检索

adversarial-review(对抗性审查)

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。

adversarial-review 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为执行命令;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 23,979。

总安装 4,128周安装 167GitHub Stars 公开资料未说明下载 1,296核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

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

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install adversarial-review;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

adversarial-review 怎么安装?

在终端执行 openclaw skills install adversarial-review。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

adversarial-review 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

adversarial-review 需要什么权限?

权限级别是执行命令。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。

adversarial-review 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

adversarial-review 用的人多吗?

公开数据是累计安装 4,128 次,近一周安装 167 次,下载 1,296 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

adversarial-review 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
adversarial-review

对抗性审查 · 本页

4,128—执行命令MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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

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

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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