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Agent Skill · 研究检索

reveal-feedback(透露反馈)

reveal-feedback 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。

reveal-feedback 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 6,550。

总安装 21,790周安装 936GitHub Stars 公开资料未说明下载 7,638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
1.0.2

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-feedback(透露反馈)
来源仓库:https://github.com/tolulopeayo/reveal-feedback
安装命令:
openclaw skills install reveal-feedback
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-feedback

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。

与Reveal反馈基础设施交互,管理产品审核与情绪洞察获取。适用于用户反馈收集、AI分析结果解读与提交状态跟踪场景。自动分类负面评论并生成改进建议,提升产品迭代效率。安装命令:openclaw skills install reveal-feedback,需配置Reveal API密钥。

注意数据同步延迟问题,避免依赖实时反馈做出紧急决策。

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-feedback;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-feedback 怎么安装?

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

reveal-feedback 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-feedback 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-feedback 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-feedback 用的人多吗?

公开数据是累计安装 21,790 次,近一周安装 936 次,下载 7,638 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-feedback 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-feedback

透露反馈 · 本页

21,790—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-feedback
description
Interact with Reveal feedback infrastructure to manage products, create review tasks, read AI-analyzed user feedback, get sentiment insights, view submissions, manage notifications, register webhooks, and generate marketing content (scripts, images, videos). Use when the user asks about product feedback, user reviews, testing tasks, sentiment analysis, top issues, review submissions, marketing videos, marketing images, video scripts, or anything related to their Reveal account.
metadata
{"openclaw":{"requires":{"env":["REVEAL_API_KEY"]},"primaryEnv":"REVEAL_API_KEY","emoji":"📊","homepage":"https://testreveal.ai"}}

Reveal Feedback Infrastructure

Reveal is a universal feedback platform where human reviewers screen-record themselves using products and provide AI-analyzed feedback. This skill connects to the Reveal REST API to manage the full feedback lifecycle — from collecting reviews to generating marketing content from that feedback.

Authentication

All API calls require the REVEAL_API_KEY environment variable. The key is a vendor API key generated from the Reveal dashboard under Settings → API Keys.

Every request uses this header:

Authorization: Bearer $REVEAL_API_KEY

Base URL: https://www.testreveal.ai/api/v1 (Override with REVEAL_BASE_URL env var if set.)

Capabilities

1. Check dashboard overview

Fetch products, active review tasks, and unread notifications to give the user a quick status update.

Steps:

  1. GET /products to list vendor products
  2. GET /review-tasks?status=active to list active tasks
  3. GET /notifications?unread=true&limit=5 to get unread notifications
  4. Summarize: product count, active tasks with submission progress, and recent notifications

2. Get feedback insights for a product

Fetch AI-aggregated insights: top issues, top positives, sentiment distribution, and suggestions.

Steps:

  1. GET /products to find the product ID matching the user's request
  2. GET /insights/{productId} to get aggregated insights
  3. Present: sentiment breakdown, top issues ranked by frequency, top positives, unique issue count

3. Get product analytics

Fetch quantitative metrics for a product.

Steps:

  1. GET /products/{productId}/analytics
  2. Present: total submissions, analyzed count, average completion rate, sentiment distribution, top issues, top positives

4. View review submissions

Get individual review submissions with transcripts, AI analysis, sentiment, and issue counts.

Steps:

  1. GET /review-tasks?status=active&limit=5 to find the relevant task (or use a task ID if provided)
  2. GET /review-tasks/{taskId}/submissions to get all submissions
  3. For each submission, present: status, sentiment, issue count, positive count, transcript preview

5. Create a review task

Create a new user-testing task so reviewers can test a product.

Steps:

  1. GET /products to find the product matching the user's description
  2. Extract from the user's message: title, objective, steps, feedback focus, reviewer count
  3. POST /review-tasks with body:
{
  "title": "extracted title",
  "productId": "matched product ID",
  "requiredReviewers": 5,
  "instructions": {
    "objective": "what the reviewer should accomplish",
    "steps": "step-by-step instructions",
    "feedback": "what feedback to focus on"
  }
}
  1. Confirm creation with task ID and details

6. Update a review task

Close, pause, or modify an existing review task.

Steps:

  1. PATCH /review-tasks/{taskId} with fields to update (status, title, description, requiredReviewers)
  2. Confirm the update

7. List products

Show all products registered on the vendor's Reveal account.

Steps:

  1. GET /products?limit=50
  2. Present each product: name, category, platform support (web/mobile), website

8. Get notifications

Check for new activity on Reveal.

Steps:

  1. GET /notifications?unread=true&limit=20
  2. Present notification messages with timestamps
  3. If user says to mark as read: PATCH /notifications with {"markAllRead": true}

9. Register a webhook

Set up real-time event notifications.

Steps:

  1. POST /webhooks with body:
{
  "url": "https://user-provided-url",
  "events": ["review.submitted", "review.analyzed", "task.completed", "video.generated"]
}
  1. Return the webhook ID and signing secret. Instruct user to store the secret securely.

10. List webhooks

Steps:

  1. GET /webhooks
  2. Present each webhook: URL, subscribed events, active status

11. Summarize feedback into marketing highlights

Turn raw user feedback into polished, persuasive marketing statements.

Steps:

  1. Collect the positive feedback strings (from insights or submissions)
  2. POST /marketing/summarize-highlights with body:
{
  "highlights": ["feedback string 1", "feedback string 2", "..."]
}
  1. Response contains summary — an array of marketing-ready highlight strings

12. Generate a marketing video script

Generate a 30-second video script from product feedback or the product description.

Steps:

  1. GET /products to find the product ID
  2. Optionally GET /insights/{productId} to extract positive highlights
  3. POST /marketing/generate-script with body:
{
  "productId": "the product ID",
  "positiveHighlights": ["highlight 1", "highlight 2"],
  "scriptType": "problem-solution"
}

- positiveHighlights is optional; if omitted the product description is used - scriptType options: problem-solution, empathetic, aspirational, story-driven

  1. Response contains script — a formatted script with [Scene X: Title] headers, Visual and Narration per scene

13. Generate a marketing image

Create a marketing image for a product with AI.

Steps:

  1. GET /products to find the product ID
  2. POST /marketing/generate-image with body:
{
  "productId": "the product ID",
  "prompt": "Modern dashboard showcasing the key analytics features",
  "styleName": "Modern Gradient",
  "tagline": "Insights that drive growth"
}

- prompt is required — the creative direction for the image - styleName and tagline are optional

  1. Response contains imageUrl — a public URL to the generated image

14. Edit and refine a script

Parse a script into structured scenes and apply edits — change narration/visuals, add new scenes, or remove scenes.

Steps:

  1. POST /marketing/edit-script with body:
{
  "script": "the current script text",
  "operations": [
    { "action": "edit", "sceneNumber": 3, "narration": "Updated narration text" },
    { "action": "add", "position": 4, "title": "New CTA", "visual": "Happy customer using phone", "narration": "Try it free today!" },
    { "action": "remove", "sceneNumber": 6 }
  ]
}

- operations is optional — omit it to just parse the script into structured scenes - action: "edit" — update title, visual, or narration of an existing scene (only include fields to change) - action: "add" — insert a new scene at position (or append if omitted) - action: "remove" — delete a scene by number (scenes renumber automatically)

  1. Response contains both the updated script string and a scenes array with structured scene objects

15. Search stock media for video scenes

Find stock images and videos from the Pictory library to use in specific video scenes.

Steps:

  1. GET /marketing/media-search?keyword=business+meeting&page=1

- keyword is required — the search term - category and page are optional

  1. Response contains results — array of { url, type, thumbnail }
  2. Use the url values in the customMediaUrls field of generate-video to assign media to specific scenes

16. Generate a marketing video (full pipeline)

Create a full marketing video from a script. This is a multi-step async workflow.

Steps:

  1. Generate a script first (capability 12) or have the user provide one
  2. Optionally refine the script (capability 14) — edit scenes, add/remove as needed
  3. Optionally search for stock media (capability 15) to use in specific scenes
  4. POST /marketing/generate-video with body:
{
  "productId": "the product ID",
  "script": "the full script with [Scene X: Title] headers",
  "voiceOver": { "speaker": "Jackson", "speed": 100 },
  "musicVolume": 0.4,
  "customMediaUrls": {
    "1": "https://stock-media-url-for-scene-1",
    "3": "https://stock-media-url-for-scene-3"
  }
}

- customMediaUrls is optional — map scene numbers to stock media URLs from media-search - Scenes without a custom URL will get auto-matched stock media based on the visual description Response: { "data": { "jobId": "...", "accessToken": "...", "productId": "..." } }

  1. Wait ~30 seconds, then trigger rendering:

PUT /marketing/render-video/{jobId} with body:

{
  "accessToken": "the accessToken from step 4",
  "webhook": "https://optional-callback-url"
}
  1. Poll for completion:

GET /marketing/video-status?jobId={jobId} Response: { "data": { "status": "in-progress" | "completed" | "failed", "videoUrl": "..." } } - Keep polling every 15-30 seconds until status is completed - When complete, videoUrl contains the final video URL

Response format

All API responses follow this structure:

  • Success: { "data": { ... } }
  • Error: { "error": { "code": "ERROR_CODE", "message": "description" } }

Guardrails

  • Never expose or log the API key in responses to the user
  • If an API call fails with 401, tell the user their API key may be invalid or expired
  • If a product is not found, suggest listing products first
  • When creating review tasks, always confirm the details with the user before sending the POST
  • Do not fabricate feedback data — only report what the API returns
  • Marketing endpoints require a vendor API key — reviewer keys will get a 403
  • Video generation is async — always poll video-status rather than assuming immediate completion
  • When generating videos, save the accessToken from generate-video — it's needed for render-video

平台分布

OpenClaw

90.86%
按下载量换算6,940

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

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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