daytona-recording-artifacts
frame proof, HTML frames, screenshots, recording, PR proof, e2e evidence, validate visually. Daytona artifacts workflow for validated screenshots and optional videos.
供给资产档案
编程与开发 Agent
代码审查、仓库分析、测试、CI、GitHub、DevOps 与开发工作流 Skill。
场景
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
适配 Agent
Claude Code + Browser agents + CLI
适用于 Codex、Claude Code、Cursor、CLI 或自定义 Agent。
安装
就绪
npx skills add Devin-AXIS/iPolloWork --skill daytona-recording-artifacts
维护状态
新鲜
今天有推送
风险
需审查
Permission surface may require sandboxing
GitHub 质量
4.6K
83/100 质量 · 72/100 信任
覆盖标签
审查说明
Permission surface may require sandboxing · Repository license is NOASSERTION; licensing terms are unclear.
Agent 采用评分卡
一眼查看信任、审计与安装准备度
这些分数综合公开仓库元数据、OpenAgentSkill 审查信号、维护新鲜度与安装准备度。它用于候选筛选,不替代人工审查。
质量
强可靠的选择,值得加入生产工作流候选列表。
信任
仅限沙盒有用但信任信号不足或混杂的候选项。在结果闭环证明任务匹配前,请保持在隔离工作区内使用。
审计
需审查对安装准备度、安全元数据、维护情况与采用风险的机器可读审查。
OpenAgentSkill 信任评分 v5
安装前需人工审查
仅在沙盒中运行,并在用于真实工作前比较接近的替代方案。
Stars
4.6K 个 GitHub Stars
仓库活跃度
4.6K 个 Star,901 个 Fork
维护状态
今天有推送
许可证
NOASSERTION
安装
npx skills add Devin-AXIS/iPolloWork --skill daytona-recording-artifacts
安装安全性
标准软件包或运行时安装路径
权限范围
shell or command execution, filesystem or document access
Agent 结果
暂未有 Agent 结果数据
文档
Usable metadata, review docs
风险摘要
生产前审查
- Repository license is NOASSERTION; licensing terms are unclear.
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- Permission surface: shell or command execution, filesystem or document access
安装准备度
安装路径可用
- 安装路径可用
- 仓库证据可用
- 已声明许可证
- 暂无 Agent 验证结果证据
Agent 可读元数据
这个 Skill 的机器可读决策数据。
使用此区块或内嵌 JSON 判断 Agent 是否应安装该 Skill、选择替代方案,或先请求人工审查。
适用任务
- Local desktop 工作流
- Claude Code 团队
- 重视 GitHub 采用信号的团队
- Navigate local resources
适用 Agent
安装决策
- 命令
- npx skills add Devin-AXIS/iPolloWork --skill daytona-recording-artifacts
- 策略
- 审查
- 人工审查
- 是
信任与风险
- 信任
- 64/100
- 审计
- 82/100
- 风险级别
- 需审查
结果闭环
- 端点
- /api/agent/outcome
- 事件 ID
- resolve
- 结果
- 5
不适用场景
- 需要厂商支持 SLA 的团队
- production agents without a repository review
- Repository license is NOASSERTION; licensing terms are unclear.
- 高风险权限提示:Shell or command execution, Secrets or environment access
- Permission surface may require sandboxing
替代 Skill
Frontend Design
171.1K Stars
npx skills add anthropics/skills --skill frontend-design
替代 Skill
Taste Skill: Anti-Slop Frontend
79.4K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
替代 Skill
Canvas Design
171.1K Stars
npx skills add anthropics/skills --skill canvas-design
替代 Skill
Anthropic Brand Guidelines
171.1K Stars
npx skills add anthropics/skills --skill brand-guidelines
Agent 安全 v2
38/100 · 避免自动安装
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
高
Shell 或命令执行
Skill 元数据引用了终端、CLI、Shell、子进程或命令执行工作流。
中
Browser automation
Skill may drive a browser or interact with web pages.
中
网络访问
Skill 可能访问远程页面、API、仓库或外部服务。
中
文件系统访问
Skill 可能读取或写入项目文件、文档、生成产物或本地工作区状态。
- 高风险权限提示:Shell or command execution, Secrets or environment access
- Permission surface may require sandboxing
安装目标
在你的 Agent 工作流中安装此 Skill
通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install devin-axis-daytona-recording-artifactsAgent 解析计划
让 Agent 在安装前验证匹配度。
Resolve API 返回首选 Skill、替代方案、安全策略、审计说明、安装目标和可直接执行的提示词,无需抓取此页面。
打开 JSON
/api/agent/resolve?task=Use%20daytona-recording-artifacts%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve 文本
/api/agent/resolve?task=Use%20daytona-recording-artifacts%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
安装交接
/api/skills/devin-axis-daytona-recording-artifacts/install
Agent 应检查
- 从 Resolve API 检查任务匹配与替代方案。
- 检查审计评分、信任评分和安全策略警告。
- 检查 Codex、Claude Code、Cursor 或 CLI 的安装目标兼容性。
复制提示词
Task: Use daytona-recording-artifacts in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20daytona-recording-artifacts%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/devin-axis-daytona-recording-artifacts/install
Install command: npx skills add Devin-AXIS/iPolloWork --skill daytona-recording-artifacts
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent 交接
把安装路径交给 Agent,而不是再给一个目录页。
通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。
安装交接
/api/skills/devin-axis-daytona-recording-artifacts/install
LLM 文本格式
/api/skills/devin-axis-daytona-recording-artifacts/install?format=text
寻找替代方案
/api/skills/search?q=daytona-recording-artifacts&limit=3
Agent 提示词
Use daytona-recording-artifacts for this task. Review https://www.openagentskill.com/api/skills/devin-axis-daytona-recording-artifacts/install, then install with: npx skills add Devin-AXIS/iPolloWork --skill daytona-recording-artifactsRegistry 元数据
用于自动选择 Skill 的 Agent 可读档案。
本页通过 Registry API 提供相同的决策、信任、审计、场景和安装信号,让 Agent 无需抓取界面即可排序。
Manifest
/api/registry/manifest/devin-axis-daytona-recording-artifacts
LLM 文本
/api/registry/manifest/devin-axis-daytona-recording-artifacts?format=text
安装别名
/api/registry/install/devin-axis-daytona-recording-artifacts
推荐
/api/registry/recommend?task=Use%20daytona-recording-artifacts%20in%20an%20agent%20workflow&limit=3
Agent 决策面板
适合 Local desktop 的首选
将其作为优先候选,再在你的 Agent 环境中验证 README 与安装路径。
栈中角色
首选
主要匹配
Local desktop
信任标签
可用于生产
安装路径
命令已就绪
适用场景
- Local desktop 工作流
- Claude Code 团队
- 重视 GitHub 采用信号的团队
证据
- 4,611 个 GitHub Stars
- 仓库近期活跃
- 已提供安装命令或 GitHub 仓库
- 83/100 质量档案
- 1 个 OpenAgentSkill 交互事件
先审查
- Repository license is NOASSERTION; licensing terms are unclear.
实施路径
- 1在沙盒 Agent 中安装它,并端到端完成一次Local desktop任务。
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
信任档案
仅限沙盒
有用但信任信号不足或混杂的候选项。在结果闭环证明任务匹配前,请保持在隔离工作区内使用。
GitHub 采用度
通过4.6K 个 GitHub Stars
Star/Fork 活跃度
通过4.6K 个 Star,901 个 Fork; 当前元数据中没有议题活跃度信息
近期维护
通过今天有推送
许可证清晰度
通过NOASSERTION
积极信号
- AI 审查已通过
- 安装路径可用
- 仓库证据可用
- 近期维护的仓库
- 有意义的 GitHub 采用信号
- 安装命令未发现明显高风险模式
- 结果闭环已就绪,但需要首次真实 Agent 运行
安装前审查
- Repository license is NOASSERTION; licensing terms are unclear.
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- Permission surface: shell or command execution, filesystem or document access
- 暂未有真实 Agent 结果报告
- 无人值守安装前需要人工审查
建议操作
仅在沙盒中运行,并在用于真实工作前比较接近的替代方案。
质量档案
强 适用于 Agent 工作流的候选
可靠的选择,值得加入生产工作流候选列表。
工作流匹配
在这些场景使用此 Skill
Operate local tools
Local desktop
I need my agent to operate local files and desktop apps in a repeatable workflow.
Operate web apps
Browser automation
I need my agent to control a browser, fill forms, and verify web app workflows.
Automate repeated work
Workflow automation
I need my agent to automate a repeated workflow across tools and files.
工作流匹配
加入完整工作流
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Design, build, test, and ship interfaces
Frontend and UI
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
替代方案短名单
安装前对比
可能适合该任务的相近 Skill。
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Taste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Canvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
Anthropic Brand Guidelines
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
概览
--- name: daytona-recording-artifacts description: frame proof, HTML frames, screenshots, recording, PR proof, e2e evidence, validate visually. Daytona artifacts workflow for validated screenshots and optional videos. ---
# Daytona Recording Artifacts
Use this skill to collect proof that a Daytona UI flow works. Use `fraimz` before declaring the flow passed. If the user asks to do e2e tests for a feature, frame proof is required unless they explicitly ask for non-UI or mock-only validation.
## Default: Frame-by-Frame HTML Proof
The default proof format is a browseable HTML page with named PNG screenshots for each step of the flow. This is faster to produce, easier to review, and works on any device.
Use video (MP4) only when the proof requires motion: streaming text, loading spinners, animations, drag-and-drop, or real-time interactions that a static frame cannot capture. When video is used, embed it inside the frame-by-frame HTML page alongside the static frames.
When a coded eval exists, prefer the eval runner frame output first:
```bash pnpm evals --flow <flow-id> --cdp-url <printed-electron-cdp-url> ```
The runner writes `evals/results/<run-id>/index.html` plus validated PNG evidence from `ctx.prove(...)` and `ctx.screenshot(...)`. Serve or copy that result directory for PR evidence.
### How to produce frame proof
1. Serve a directory from the sandbox on port 8090:
```bash daytona exec "$SANDBOX" -- 'bash -lc "mkdir -p /workspace/proof-frames; nohup python3 -m http.server 8090 --directory /workspace/proof-frames >/dev/null 2>&1 &"' ```
2. At each important state, capture a `browser_screenshot` locally and upload it to the sandbox with a numbered name like `01-auth-landing.png`, `02-org-filled.png`, etc.
3. Generate a browseable `index.html` with all frames as labeled images in a responsive grid. Include the branch, commit, and sandbox name.
4. Get the public URL:
```bash FRAMES_URL=$(daytona preview-url "$SANDBOX" -p 8090 2>/dev/null | grep -v "^time=") echo "${FRAMES_URL}/index.html" ```
5. Post the index URL in the PR body. Individual frame PNGs are also directly linkable: `${FRAMES_URL}/01-auth-landing.png`.
### Fallback when `/daytona-artifacts` is unavailable
The preferred path is `test-on-daytona.sh --artifacts-volume`, which mounts and serves `/daytona-artifacts`. If that path is unavailable or not writable, do not stop at local screenshots. Use `/workspace/proof-frames` as a fallback:
```bash daytona exec "$SANDBOX" -- 'bash -lc "mkdir -p /workspace/proof-frames; nohup python3 -m http.server 8090 --bind 0.0.0.0 --directory /workspace/proof-frames >/tmp/proof-frames-http.log 2>&1 &"' ```
Upload the generated `index.html` and PNG frames there, then verify every file is non-zero before sharing:
```bash daytona exec "$SANDBOX" -- 'bash -lc "ls -lh /workspace/proof-frames && curl -s -I http://127.0.0.1:8090/index.html | sed -n \"1,8p\""' daytona preview-url "$SANDBOX" -p 8090 ```
If you use this fallback, say so in the PR/eval report because the files are not on the persistent artifacts volume.
### When to include video clips
Embed short MP4 clips in the same proof directory when the step involves:
- Streaming text appearing in real-time (chat responses). - Loading/progress indicators that resolve. - Animations or transitions between states. - Drag-and-drop or multi-step interactions.
Reference them from the HTML index alongside the static frames.
## Recording Standard (video, when needed)
A useful Daytona recording should look like a person using the product, even though CDP is driving the browser or Electron window.
- Record the entire relevant journey, not only the final state. - Start before the first visible click and stop after the final visible success state. - Drive Chrome/Electron through visible controls with `browser_snapshot`, `browser_click`, and `browser_fill` wherever possible. - Keep API calls, localStorage writes, direct navigation, and filesystem checks out of the recorded path unless they are unavoidable setup. - If invisible setup is unavoidable, label it in the PR/eval and resume the recording at the next visible user step. - Prefer slower, understandable click-by-click recordings over faster scripts that jump between states. - The recording should be understandable without terminal output; logs and API checks are supporting evidence only.
## The Volume
The reusable Daytona volume is:
```text ipollowork-eval-artifacts:/daytona-artifacts ```
The helper serves it on port `8090` when `--artifacts-volume` or `--record-video` is used.
Expected layout:
```text /daytona-artifacts/recordings /daytona-artifacts/screenshots /daytona-artifacts/validation ```
## Start With Artifacts
For screenshots and validation notes without video:
```bash bash .devcontainer/test-on-daytona.sh [branch-or-commit] --artifacts-volume ```
For full human-review evidence:
```bash bash .devcontainer/test-on-daytona.sh [branch-or-commit] --record-video --recording-name <name> ```
`--record-video` implies `--artifacts-volume`.
## Capture Screenshot Checkpoints
Capture a persistent screenshot from the Daytona display:
```bash daytona exec "$SANDBOX" -- 'bash .devcontainer/capture-daytona-screenshot.sh' ```
Use this after important states: welcome screen, workspace created, settings connected, task response visible, error state reproduced, or final success.
Before sharing any screenshot URL, follow `fraimz` and inspect the saved PNG itself. Confirm the visible image shows the claimed state and is not covered by a native picker, modal, toast, desktop window, or unrelated overlay. If the screenshot does not match, recapture and inspect a replacement.
## Stop Recording
Always stop with the helper so ffmpeg finalizes the MP4 cleanly:
```bash daytona exec "$SANDBOX" -- 'bash .devcontainer/stop-daytona-recording.sh' ```
Do not use `kill -9`; it can corrupt the file.
After stopping, verify the recording exists and has duration:
```bash daytona exec "$SANDBOX" -- 'ls -lh /daytona-artifacts/recordings' daytona exec "$SANDBOX" -- 'ffprobe -v error -show_entries format=duration -of default=nw=1:nk=1 /daytona-artifacts/recordings/<name>.mp4' ```
If the duration is near zero, missing, or the file is absent, the recording is not usable evidence.
## Get Artifact URLs
Get the artifacts base URL:
```bash ARTIFACTS_URL=$(daytona preview-url "$SANDBOX" -p 8090 2>/dev/null | grep -v "^time=") ```
Then append paths:
```bash echo "${ARTIFACTS_URL}/recordings/<name>.mp4" echo "${ARTIFACTS_URL}/screenshots/<name>.png" ```
Artifact proxy URLs are not permanent. If the sandbox stops, the old `daytonaproxy` URL will fail even when files still exist in `/daytona-artifacts`. Restart the sandbox and artifact server, then generate a fresh URL:
```bash daytona sandbox start "$SANDBOX" daytona exec "$SANDBOX" -- 'bash -lc '\''cd /daytona-artifacts && nohup python3 -m http.server 8090 --bind 0.0.0.0 > /tmp/daytona-artifacts-http.log 2>&1 &'\''' daytona exec "$SANDBOX" -- 'curl -s -I http://127.0.0.1:8090/recordings/<name>.mp4 | sed -n "1,8p"' daytona preview-url "$SANDBOX" -p 8090 ```
Only share the refreshed URL after the local `curl -I` returns `200 OK` with a non-zero `Content-Length`.
## Before And After Flow
Use before/after recordings for UI regressions or design changes:
```bash bash .devcontainer/test-on-daytona.sh dev --record-video --recording-name my-feature-before daytona exec "$SANDBOX" -- 'bash .devcontainer/stop-daytona-recording.sh' daytona exec "$SANDBOX" -- "bash -lc 'cd /workspace && git fetch origin feat/my-branch:feat/my-branch && git checkout feat/my-branch'" daytona exec "$SANDBOX" -- "bash -lc 'cd /workspace && DISPLAY=:99 .devcontainer/start-daytona-recording.sh --detach --output /daytona-artifacts/recordings/my-feature-after.mp4'" daytona exec "$SANDBOX" -- 'bash .devcontainer/stop-daytona-recording.sh' ```
## Validation Standard
Use these layers in order of priority:
1. **Frame-by-frame HTML proof** (default): named PNGs in a browseable index. This is the primary evidence format for UI flows. 2. **CDP/browser assertions**: prove URL, text, state, accessibility tree, and process state alongside each frame capture. 3. **Video clips** (when needed): short MP4s embedded in the frame index for steps that require motion proof (streaming, animations, loading states).
Do not report success from a recording alone. The AI should inspect state with browser tools and use screenshots to validate visible behavior before declaring the flow passed.
Do not use a video as the primary demo if most of the flow happened through hidden automation. In that case, mark the run as technical validation only and produce a new frame-by-frame proof for human review.
If you discover invalid evidence after the fact, do not reuse the same URL as if it were valid. Produce new frames with new names and explain in the PR/comment that the earlier artifact was superseded.
技术详情
- 版本
- 1.0.0
- 许可证
- NOASSERTION
- 最近更新
- 2026年8月23日
- 发布时间
- 2026年8月23日
决策摘要
首选
4,611 个 GitHub Stars
Agent 验证证据
Agent 验证证据
来自解析、审查、安装和一次小范围运行后的结果报告。
- 成功率
- —
- 近期失败
- —
- 结果
- 0
- 输出质量
- —
- 失败
- 0
- 不相关
- 0
- 安装次数
- 0
- 风险拦截
- 0
- 需要配置
- 0
- 生产环境
- 0
暂时没有 Agent 结果数据。首次 Agent 执行可以通过 /api/agent/outcome 报告成功、需要设置、风险拦截、失败或不相关。
增长闭环
分享工具包
为 daytona-recording-artifacts 准备的场景化草稿,可手动发布到 X。
daytona-recording-artifacts: frame proof, HTML frames, screenshots, recording, PR proof, e2e evidence, validate visually.... 4.6K stars https://www.openagentskill.com/skills/devin-axis-daytona-recording-artifacts?ref=x
可选:带安装命令的回复
Listing + install path for daytona-recording-artifacts: https://www.openagentskill.com/skills/devin-axis-daytona-recording-artifacts?ref=x Install: npx skills add Devin-AXIS/iPolloWork --skill daytona-recording-artifacts
收录来源
Registry 收录
此列表来自公开来源,维护者认领获批前不会标记为官方。
- 创作者
- Devin-AXIS
- 收录方
- OpenAgentSkill 社区索引
归属链接指向公开仓库或创作者主页。创作者可认领列表以更新所有权信号。
认领此 Skill所有者认领
认领此 Skill 页面
这条 Registry 收录 列表归属于 Devin-AXIS,但尚未标记为官方。认领后可增加已验证所有者信号,使后续发布、安装和审计更新更值得信赖。
创作者外链工具包
将证据徽章加入你的 README
在开发者评估仓库的位置展示规范页面、当前信任与审计信号,以及真实的 Agent 验证证据。
[](https://www.openagentskill.com/skills/devin-axis-daytona-recording-artifacts)
[](https://www.openagentskill.com/skills/devin-axis-daytona-recording-artifacts)
[](https://www.openagentskill.com/skills/devin-axis-daytona-recording-artifacts/audit)
[](https://www.openagentskill.com/skills/devin-axis-daytona-recording-artifacts)作者
Devin-AXIS
@devin-axis
健康信号
- GitHub Stars
- 4.6K
- 质量评分
- 48/100
- 最近 GitHub 推送
- 2026年8月23日
- 框架提示
- 未知
- OpenAgentSkill 浏览量
- 1
- 复制安装命令
- 0
- 跳转点击
- 0
社区信号
告诉我们这个 Skill 是否对你的 Agent 工作流有帮助。汇总反馈会持续改善排序。
信任与安全
仅限沙盒
- GitHub 采用度4.6K 个 GitHub Stars通过
- Star/Fork 活跃度4.6K 个 Star,901 个 Fork; 当前元数据中没有议题活跃度信息通过
- 近期维护今天有推送通过
- 许可证清晰度NOASSERTION通过
- README/SKILL.md 完整度公开元数据需要更完整的 README/SKILL.md 上下文信息
- 依赖与运行时风险command execution surface, network or browser surface信息
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