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review审查

Agent Skill

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

29,376

周安装

1,238

GitHub Stars

公开资料未说明

下载量

9,408
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:review(审查)
来源仓库:https://github.com/ethagent/review
安装命令:
openclaw skills install 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 review

简介

专业评论家和评论家技能用于结构化反馈各类内容。

  • 适合对文档、计划、代码或决策提供审阅建议。
  • 通过关键词或场景触发,快速定位相关信息。review 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 安装于 OpenClaw 环境,使用 clawhub 方式部署。
  • 需核实维护状态及是否涉及敏感数据读写权限。

SKILL.md

name
review
description
>
anything
documents, plans, code, decisions, strategies, designs, pitches, or arguments.

Review — Structured Feedback System

What This Skill Does

Evaluates anything the user shares and delivers structured, prioritized, actionable feedback. Not praise. Not vague encouragement. Real assessment of what works, what does not, what is missing, and what should be reconsidered — delivered in a way the user can act on immediately.

Core Principle

Feedback that does not lead to action is noise. Every piece of feedback in a review must point to something specific the user can do differently. If a problem cannot be articulated specifically enough to suggest a fix, it is not ready to be delivered as feedback.

Workflow

Step 1: Identify What Is Being Reviewed

REVIEW_TYPES = {
  "document":   { criteria: ["clarity","structure","completeness","accuracy","audience_fit"] },
  "plan":       { criteria: ["feasibility","completeness","risk_coverage","dependencies","success_metrics"] },
  "code":       { criteria: ["correctness","readability","efficiency","edge_cases","maintainability"] },
  "decision":   { criteria: ["problem_definition","options_considered","evidence_quality","risk_assessment","reversibility"] },
  "pitch":      { criteria: ["hook","problem_clarity","solution_credibility","ask","objection_handling"] },
  "argument":   { criteria: ["claim_clarity","evidence_strength","logic","counterarguments","conclusion"] },
  "strategy":   { criteria: ["goal_clarity","market_reality","resource_feasibility","competitive_awareness","execution_path"] },
  "design":     { criteria: ["purpose_fit","usability","consistency","clarity","edge_cases"] }
}

If the type is not explicit, infer from what was shared. Apply the most relevant criteria set.

Step 2: Assess Against Criteria

For each relevant criterion, evaluate on a simple scale:

ASSESSMENT_SCALE = {
  "strong":   "Works well. No action needed. Worth noting so the user knows what to keep.",
  "adequate": "Functional but could be stronger. Worth improving if time allows.",
  "weak":     "Noticeably limiting the effectiveness. Should be addressed.",
  "missing":  "Required for this to work and not present. Must be addressed."
}

Weak and missing items become the feedback. Strong items are acknowledged briefly. Adequate items are flagged only if they are close to weak or easy to fix.

Step 3: Prioritize the Feedback

def prioritize_feedback(issues):
    critical = [i for i in issues if i.blocks_success or i.is_missing]
    important = [i for i in issues if i.significantly_limits_effectiveness]
    minor = [i for i in issues if i.is_polish_level]

    return {
        "fix_first":    critical,    # Must address before this goes further
        "fix_if_able":  important,   # Will meaningfully improve outcome
        "optional":     minor        # Worth noting, not worth delaying for
    }

Lead with what matters most. A review that buries the critical issue in paragraph four after extensive praise is a review that has failed its purpose.

Step 4: Deliver the Review

Structure every review the same way:

REVIEW_FORMAT = {
  "verdict":      one sentence overall assessment — strong / solid / needs work / not ready,
  "what_works":   2-3 specific strengths worth preserving (brief),
  "fix_first":    critical issues with specific suggested fixes,
  "fix_if_able":  important improvements with specific suggestions,
  "optional":     minor polish items (can be a list, kept short),
  "bottom_line":  one sentence on what would make this significantly stronger
}

Feedback Delivery Standards

Be specific:

  • Weak: "The structure is confusing."
  • Strong: "The key finding appears in paragraph four. Move it to paragraph one.

The reader should not have to search for the most important thing."

Suggest fixes, not just problems:

  • Weak: "This argument is not convincing."
  • Strong: "This claim needs evidence. Add one concrete example or data point

that shows this has worked before."

Calibrate to stakes:

CALIBRATION = {
  "low_stakes":  "Be efficient. Flag the top 2-3 issues. Do not over-engineer feedback.",
  "high_stakes": "Be thorough. Cover all criteria. Miss nothing that could cause failure.",
  "time_limited":"Lead with the single most important change. Everything else is secondary."
}

Do not pad with praise: Positive feedback is useful when it identifies something worth preserving. It is not useful as a cushion before criticism. Users who want honest feedback are slowed down by excessive encouragement. Deliver the assessment directly.

Special Review Types

Code review additions:

  • Flag security issues before anything else
  • Note which comments are blocking (must fix) vs non-blocking (style preference)
  • If something is wrong but the fix is non-obvious, show the corrected version

Decision review additions:

  • Identify assumptions the decision rests on that have not been verified
  • Name the most likely failure mode
  • Flag if the decision is reversible — if it is not, the bar for confidence should be higher

Pitch review additions:

  • Read as the skeptical audience, not the supportive one
  • Identify the objection most likely to kill the deal and assess whether it is handled
  • Note if the ask is clear — many pitches fail because the audience does not know

what they are being asked to do

Quality Check Before Delivering

  • [ ] Verdict is clear and honest
  • [ ] Critical issues are listed first, not buried
  • [ ] Every piece of feedback includes a specific suggested fix
  • [ ] Praise is specific and identifies something worth preserving
  • [ ] Feedback is calibrated to the stakes and context
  • [ ] Bottom line gives the user one clear direction

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

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

93.61%
按下载量换算8,807

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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