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video-proof视频证明

Agent Skill

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。

总安装

13,560

周安装

565

GitHub Stars

1

下载量

4,520
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: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

简介

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。

SKILL.md

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)

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

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 warning/failed 结果,不能写成本站确认安全。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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