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Agent Skill · 研究检索

reveal-reviewer(透露审稿人)

reveal-reviewer 用于处理浏览器自动化、网页检查和页面信息提取,适合在 OpenClaw 中需要让 Agent 打开页面、读取网页或验证前端流程时使用。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。

reveal-reviewer 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 8,006。

总安装 17,440周安装 734GitHub Stars 公开资料未说明下载 6,107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
1.0.1

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:reveal-reviewer(透露审稿人)
来源仓库:https://github.com/tolulopeayo/reveal-reviewer
安装命令:
openclaw skills install reveal-reviewer
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 reveal-reviewer

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。

作为AI审阅者在Reveal平台上导航网页并记录观察结果。适用于产品可用性测试、前端流程验证与截图归档场景。自动截取屏幕快照并标注问题点,生成结构化审阅报告。安装命令:openclaw skills install reveal-reviewer,需启用浏览器自动化权限。

注意网站反爬机制,避免高频请求导致IP封禁或服务中断。

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 reveal-reviewer;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

    它需要接触敏感数据,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

reveal-reviewer 怎么安装?

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

reveal-reviewer 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。

reveal-reviewer 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

reveal-reviewer 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。

reveal-reviewer 用的人多吗?

公开数据是累计安装 17,440 次,近一周安装 734 次,下载 6,107 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。

reveal-reviewer 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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
reveal-reviewer

透露审稿人 · 本页

17,440—接触敏感数据MIT-0通过

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
reveal-reviewer
description
Review products on Reveal as an AI agent reviewer. Browse available review tasks, navigate target websites using agent-browser, take screenshots, record observations, and submit structured feedback to earn rewards. Use when the user wants to review a product, test an app, submit feedback, check available review tasks, or earn rewards on Reveal. Requires agent-browser skill for website navigation.
metadata
{"openclaw":{"requires":{"anyBins":["agent-browser"],"env":["REVEAL_REVIEWER_API_KEY"]},"primaryEnv":"REVEAL_REVIEWER_API_KEY","emoji":"🔍","homepage":"https://testreveal.ai"}}

Reveal Reviewer Agent

Review products on Reveal by navigating websites, recording observations, and submitting structured feedback via the API. Supports both:

  • Task Review Mode (vendor-created tasks)
  • Proactive Self-Review Mode (reviewer/agent-initiated reviews not tied to vendor tasks)

Prerequisites

  • REVEAL_REVIEWER_API_KEY environment variable (reviewer API key from Reveal profile)
  • agent-browser skill installed for website navigation and screenshots

- If not installed: clawhub install TheSethRose/agent-browser

Authentication

All API calls use:

Authorization: Bearer $REVEAL_REVIEWER_API_KEY

Base URL: https://www.testreveal.ai/api/v1

Review Workflow

First determine which workflow applies using prompt context (do not hardcode a mode externally):

Routing Logic (must run before reviewing)

  1. Check explicit intent in prompt

- If prompt says "proactive review" / "self review" / "review this site even if no task" → use Proactive Self-Review Mode.

  1. If product name or URL is mentioned, check for matching Reveal tasks

- GET /tasks/available?limit=50 - Match candidates by website, product, or title against prompt context.

  1. Validate goal alignment

- For each candidate task, GET /tasks/{taskId} and compare instructions.objective, instructions.steps, and instructions.feedback to the user's requested goal. - If a matching task exists and goal aligns, use Task Review Mode.

  1. Fallback

- If no matching/aligned task exists, use Proactive Self-Review Mode.

Always state briefly which mode was selected and why.

Step 1: Find available tasks

GET /tasks/available to browse open review tasks.

Optional query params: taskType (web|mobile), limit (default 20)

Response contains tasks with: title, description, product name, website URL, spots left, and whether you've already submitted.

Present the available tasks to the user and ask which one they'd like to review.

Step 2: Get task instructions

GET /tasks/{taskId} to get full task details including:

  • instructions.objective — what the reviewer should accomplish
  • instructions.steps — step-by-step guide
  • instructions.feedback — what kind of feedback to focus on
  • website — URL to navigate to

Read the instructions carefully before starting the review.

Step 3: Navigate and review the product

Use the agent-browser skill to:

  1. Navigate to the task's website URL
  2. Take a snapshot to understand the page structure
  3. Follow the task instructions step by step
  4. At each significant step:

- Take a screenshot using agent-browser's snapshot feature - Note what you observe (good, bad, confusing, broken) - Try to interact with elements as instructed

  1. Record issues encountered (bugs, confusing UI, errors, slow loading)
  2. Record positives (clean design, fast loading, intuitive flow)
  3. Note suggestions for improvement

Be thorough but concise. Focus on what the task instructions ask for.

Step 4: Structure your findings

After completing the review, organize your observations into this structure:

{
  "issues": [
    {"description": "Checkout button was not visible on mobile viewport", "severity": "High"},
    {"description": "No loading indicator when form submits", "severity": "Medium"}
  ],
  "positives": [
    {"description": "Clean, modern design with good contrast"},
    {"description": "Onboarding flow was intuitive and quick"}
  ],
  "suggestions": [
    "Add a progress bar to the checkout flow",
    "Reduce the number of required form fields"
  ],
  "sentiment": "positive",
  "summary": "Overall the product is well-designed with good UX. Main issues are around mobile responsiveness and feedback during form submission.",
  "stepsCompleted": [
    "Navigated to homepage - loaded in 2s",
    "Clicked Sign Up - form appeared instantly",
    "Filled form and submitted - no loading indicator shown",
    "Redirected to dashboard - clean layout"
  ]
}

Sentiment should be one of: positive, negative, neutral, mixed

Step 5: Submit the review

POST /submissions with body:

{
  "taskId": "the_task_id",
  "source": "agent",
  "findings": {
    "issues": [...],
    "positives": [...],
    "suggestions": [...],
    "sentiment": "positive",
    "summary": "...",
    "stepsCompleted": [...]
  },
  "screenshots": ["url1", "url2"],
  "notes": "Optional additional notes"
}

Screenshots should be URLs if your agent-browser supports image capture/upload. If not, omit the screenshots field.

Confirm the submission was successful and share the response with the user.

Proactive Self-Review Mode

Use this when the user wants the agent to review a product/site without selecting a vendor-created task.

Step A: Create self-review target

POST /self-reviews with:

{
  "websiteUrl": "https://example.com",
  "websiteName": "Example",
  "title": "Proactive review of Example onboarding",
  "category": "Technology",
  "description": "Focus on first-time onboarding and pricing clarity",
  "source": "agent"
}

Store the returned id as selfReviewId.

Step B: Navigate and review

Use agent-browser to perform the requested journey:

  1. Open the target URL
  2. Explore key flows requested by the user
  3. Capture evidence and observations
  4. Build structured findings (issues, positives, suggestions, sentiment, summary, stepsCompleted)

Step C: Complete the self-review

PATCH /self-reviews/{selfReviewId} with:

{
  "source": "agent",
  "completed": true,
  "findings": {
    "issues": [{"description": "...", "severity": "High"}],
    "positives": [{"description": "..."}],
    "suggestions": ["..."],
    "sentiment": "mixed",
    "summary": "Summary...",
    "stepsCompleted": ["..."]
  },
  "screenshots": ["https://...png"],
  "notes": "Optional notes"
}

If the flow includes a hosted recording/video, include videoUrl too.

Step D: Confirm outcome

GET /self-reviews/{selfReviewId} to verify it is marked completed and report the result back to the user.

Other Capabilities

Check your submissions

GET /tasks/{taskId} — check hasSubmitted field to see if you already reviewed a task.

List proactive self-reviews

GET /self-reviews?completed=true&source=agent

Get notifications

GET /notifications?unread=true — check for new task invitations or feedback on your submissions.

Mark notifications read

PATCH /notifications with {"markAllRead": true}

Guardrails

  • Never fabricate observations. Only report what you actually see when navigating the product.
  • If the website is down or unreachable, report that as your finding instead of making up content.
  • Always follow the task instructions. Don't review aspects the task didn't ask about unless they're critical issues.
  • Be objective and fair. Report both positives and negatives.
  • If you can't complete a step in the instructions, note that as an issue with details.
  • Don't submit a review if you haven't actually navigated the product.
  • Confirm with the user before submitting the review.

平台分布

OpenClaw

72%
按下载量换算4,397

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。目前只有一个公开来源,建议同时核对源仓库。

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