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Agent Skill · 开发

video-proof(视频证明)

用于辅助视频生成、动画合成、脚本化剪辑或 Remotion 等视频项目开发。它适合让 Agent 组织镜头、生成素材说明、维护合成代码或排查渲染问题。使用时需要确认分辨率、时长、素材路径和导出格式;涉及外部素材、人物肖像或商业发布时,应先核对版权授权和内容审核要求。

video-proof 是开发类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为操作浏览器;许可证为 MIT-0,第三方扫描有提醒项,按安装量在开发类的 21,746 个 Skill 里排第 2,949。

总安装 13,560周安装 565GitHub Stars 1下载 4,520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:video-proof(视频证明)
来源仓库:https://github.com/rikisann/video-proof
安装命令:
openclaw skills install video-proof
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 video-proof

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

在编码任务完成后录制功能验证视频。video-proof 属于开发类 Skill,可作为该场景下的辅助能力补充。适用于开发流程中的成果演示与质量检查。由代理自动捕获屏幕操作过程并生成可回放视频。无需额外配置,集成于 OpenClaw 开发环境。录制的视频仅用于内部验证,不建议直接对外公开使用。

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 video-proof;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

    它需要操作浏览器,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

video-proof 怎么安装?

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

video-proof 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。

video-proof 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

video-proof 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。

video-proof 用的人多吗?

公开数据是累计安装 13,560 次,近一周安装 565 次,下载 4,520 次,GitHub 1 星。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。

video-proof 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

  • 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。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
video-proof

视频证明 · 本页

13,5601操作浏览器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
video-proof
description
Record video proof of implemented features after coding tasks complete. Use when a coding agent finishes work and needs to visually verify and demonstrate that the feature works. Generates screen recordings, screenshots, and test logs as PR artifacts. Integrates with any coding agent workflow — run after code is written to produce video evidence of working software. Trigger on "video proof", "record demo", "prove it works", "show me it working", or when PRDs include a proof/demo step.
license
Apache-2.0
compatibility
Requires Node.js 18+, Chromium (installed via Playwright). Optional ffmpeg for mp4 conversion. Works on Linux, macOS, and WSL.
metadata
author
rikisann
version
1.0

Video Proof

Record video demos of implemented features using Playwright's built-in screen recording. After a coding task completes, this skill starts your app, runs a scripted walkthrough, and captures video + screenshots + console logs as proof artifacts.

Works with any stack — Next.js, Vite, Django, Rails, Go, Docker, static files, or an already-running server. You provide the start command; the skill handles the rest.

Prerequisites

Run once per machine:

bash scripts/setup.sh

Installs Playwright (Chromium), ffmpeg, and the yaml npm package.

Quick Start

Option A: YAML Proof Spec (recommended)

Create a proof-spec.yaml:

proof:
  start_command: "npm run dev"       # any shell command that starts your app
  start_port: 3000                   # port to poll before recording begins
  base_url: "http://localhost:3000"
  steps:
    - goto: "/dashboard"
    - wait: 2000
    - screenshot: "dashboard-loaded"
    - click: "text=Create New"
    - wait: 1000
    - assert_visible: "text=New Item"
    - screenshot: "item-created"

Run it:

node scripts/record-proof.js --spec proof-spec.yaml --output ./proof-artifacts

Option B: Inline CLI (simple cases)

node scripts/record-proof.js \
  --start "python3 -m http.server 8080" \
  --port 8080 \
  --url http://localhost:8080 \
  --goto "/" \
  --screenshot "home" \
  --output ./proof-artifacts

Option C: Already-running server (no start_command)

Omit start_command — the script skips server startup and goes straight to recording:

proof:
  base_url: "https://staging.myapp.com"
  steps:
    - goto: "/login"
    - screenshot: "login-page"

Artifacts Produced

proof-artifacts/
├── video.webm            # Full screen recording
├── video.mp4             # Chat-friendly version (auto-converted via ffmpeg)
├── screenshots/          # Named screenshots from steps
│   ├── dashboard-loaded.png
│   └── item-created.png
├── console.log           # Browser console output (errors, warnings, logs)
└── proof-summary.md      # Markdown report with pass/fail status per step

Exit code: 0 if all steps pass, 1 if any step fails. On failure, a FAILURE.png full-page screenshot is captured automatically.

Start Command Examples

The start_command field accepts any shell command. Examples:

Stackstart_commandstart_port
Next.jsnpm run dev3000
Vite / Reactnpm run dev5173
Djangopython manage.py runserver 0.0.0.0:80008000
Flaskflask run --port 50005000
Railsbin/rails server -p 30003000
Gogo run . -addr :80808080
Rust (Actix/Axum)cargo run8080
Docker Composedocker compose up3000
Static filespython3 -m http.server 80808080
Already running*(omit field)*—

Step Actions

ActionValueDescription
goto"/path" or full URLNavigate to a page
clickPlaywright selectorClick an element (text=Submit, #btn, .class)
fill{selector, value}Clear and fill an input field
type{selector, text}Type into an element keystroke by keystroke
waitmillisecondsPause (let animations/data load)
screenshot"name"Save screenshots/<name>.png
scroll"down" or "up"Scroll 500px in direction
assert_visiblePlaywright selectorFail the proof if element isn't visible
assert_urlstringFail if current URL doesn't contain string

API-Only Proof (No Browser)

For backend/API changes with no UI, use api-proof.js:

node scripts/api-proof.js --spec api-spec.yaml --output ./proof-artifacts
proof:
  start_command: "npm start"
  start_port: 3000
  base_url: "http://localhost:3000"
  requests:
    - method: GET
      path: /api/health
      assert_status: 200
      assert_body_contains: "ok"
    - method: POST
      path: /api/users
      headers:
        Content-Type: application/json
      body: '{"name": "test"}'
      assert_status: 201

Produces api-proof.md and api-results.json instead of video.

Integration with Coding Agents

Append to any coding task prompt:

After completing the implementation, create a proof-spec.yaml that:
1. Starts the app with the appropriate command for this project
2. Navigates to the relevant pages
3. Demonstrates the feature with clicks/fills as needed
4. Asserts the expected outcome is visible
5. Takes before/after screenshots

Then run:
  node <skill-path>/scripts/record-proof.js --spec proof-spec.yaml --output ./proof-artifacts

Commit proof-artifacts/ with your changes.

The agent writes the proof spec based on what it built, runs it, and the video becomes part of the deliverable.

Spec Reference

See references/proof-spec.md for the full YAML schema, API proof schema, and a copy-paste PRD template.

Tips

  • Use assert_visible to make proofs fail when the feature doesn't work — video of a broken page isn't useful proof
  • Keep specs focused on the specific feature, not the whole app
  • wait steps between actions let data load and animations settle — 1-2s is usually enough
  • The video captures real load times — doubles as a basic performance check
  • If ffmpeg isn't available, the script still produces .webm (just skips mp4 conversion)

平台分布

OpenClaw

97.03%
按下载量换算4,386

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

未展示

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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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