daytona-recording-artifacts
frame proof, HTML frames, screenshots, recording, PR proof, e2e evidence, validate visually. Daytona artifacts workflow for validated screenshots and optional videos.
Supply asset profile
Coding and developer agents
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + Browser agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Devin-AXIS/iPolloWork --skill daytona-recording-artifacts
Maintenance
fresh
Pushed today
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
4.6K
83/100 Quality · 72/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · Repository license is NOASSERTION; licensing terms are unclear.
Agent adoption scorecard
Trust, audit, and install readiness at a glance
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Human review before install
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
4.6K GitHub stars
Repo activity
4.6K stars, 901 forks
Maintenance
Pushed today
License
NOASSERTION
Install
npx skills add Devin-AXIS/iPolloWork --skill daytona-recording-artifacts
Install safety
standard package or runtime install path
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Review before production
- 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
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- No Agent Proven outcome evidence yet
Agent-readable metadata
Machine-readable decision data for this skill.
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
- Local desktop workflows
- Claude Code teams
- teams that value GitHub adoption signals
- Navigate local resources
Suited agents
Install decision
- Command
- npx skills add Devin-AXIS/iPolloWork --skill daytona-recording-artifacts
- Policy
- review
- Human review
- yes
Trust and risk
- Trust
- 64/100
- Audit
- 82/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add Devin-AXIS/iPolloWork --skill daytona-recording-artifactsDo not use when
- teams that need a vendor-supported SLA
- production agents without a repository review
- Repository license is NOASSERTION; licensing terms are unclear.
- No OpenAgentSkill engagement data yet
- High-risk permission hints: Shell or command execution, Secrets or environment access
Alternative
Frontend Design
171.1K Stars
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Alternative
Taste Skill: Anti-Slop Frontend
79.4K Stars
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Alternative
Canvas Design
171.1K Stars
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171.1K Stars
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Agent safety v2
38/100 · Avoid automatic install
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Shell or command execution
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Browser automation
Skill may drive a browser or interact with web pages.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Filesystem access
Skill may read or write project files, documents, generated artifacts, or local workspace state.
- High-risk permission hints: Shell or command execution, Secrets or environment access
- Permission surface may require sandboxing
Install targets
Install this skill in your agent workflow
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
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 resolve plan
Let an agent verify fit before installing.
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20daytona-recording-artifacts%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20daytona-recording-artifacts%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/devin-axis-daytona-recording-artifacts/install
Agent should check
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copy prompt
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 handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/devin-axis-daytona-recording-artifacts/install
LLM text format
/api/skills/devin-axis-daytona-recording-artifacts/install?format=text
Find alternatives
/api/skills/search?q=daytona-recording-artifacts&limit=3
Agent prompt
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 metadata
Agent-readable profile for automatic skill selection.
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/devin-axis-daytona-recording-artifacts
LLM text
/api/registry/manifest/devin-axis-daytona-recording-artifacts?format=text
Install alias
/api/registry/install/devin-axis-daytona-recording-artifacts
Recommend
/api/registry/recommend?task=Use%20daytona-recording-artifacts%20in%20an%20agent%20workflow&limit=3
Agent fit
Local desktop
Use-case tags
Platforms
Claude Code, Browser agents
Audit report
Needs review · 82/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Primary pick for Local desktop
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Local desktop
Trust label
Production-ready
Install path
Command ready
Use when
- Local desktop workflows
- Claude Code teams
- teams that value GitHub adoption signals
Evidence
- 4,611 GitHub stars
- recent repository activity
- install command or GitHub repo available
- 83/100 quality profile
review first
- Repository license is NOASSERTION; licensing terms are unclear.
- No OpenAgentSkill engagement data yet
Implementation path
- 1Install it in a sandbox agent and run one Local desktop task end to end.
- 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.
Trust profile
Sandbox only
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS4.6K GitHub stars
Stars/forks activity
PASS4.6K stars, 901 forks; issue activity unavailable in current metadata
Recent maintenance
PASSPushed today
License clarity
PASSNOASSERTION
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Meaningful GitHub adoption signal
- Install command has no obvious high-risk pattern
- Outcome loop is ready but needs first real agent run
Review before install
- 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
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Strong candidate for agent workflows
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Use this skill in these scenarios
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.
Workflow fit
Add it to a complete workflow
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.
Alternative shortlist
Compare before you install
Similar skills that may fit this task.
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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.
Overview
--- 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.
Technical details
- Version
- 1.0.0
- License
- NOASSERTION
- Last updated
- Aug 23, 2026
- Published
- Aug 23, 2026
Decision snapshot
Primary pick
4,611 GitHub stars
Audit
Install review
Install and adoption review
- Security
- 76/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- Success rate
- —
- Recent failure
- —
- Outcomes
- 0
- Output quality
- —
- Failed
- 0
- Not relevant
- 0
- Installs
- 0
- Risk blocked
- 0
- Setup needed
- 0
- Production
- 0
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Add to agent workflow
Free and open source. Review the report before installing into production agents.
Growth loop
Share kit
Scenario-led draft for daytona-recording-artifacts, ready for a manual X post.
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
Optional reply with install command
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
Listing source
Registry indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- Devin-AXIS
- Source
- Devin-AXIS/iPolloWork
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
This Registry indexed listing is attributed to Devin-AXIS but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Add the evidence badges to your README
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](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)Author
Devin-AXIS
@devin-axis
Tags
Platform fit
Health signals
- GitHub stars
- 4.6K
- Quality score
- 48/100
- Last GitHub push
- Aug 23, 2026
- Framework hints
- Unknown
- OpenAgentSkill views
- 0
- Install copies
- 0
- Outbound clicks
- 0
Community signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & safety
Sandbox only
- GitHub adoption4.6K GitHub starsPASS
- Stars/forks activity4.6K stars, 901 forks; issue activity unavailable in current metadataPASS
- Recent maintenancePushed todayPASS
- License clarityNOASSERTIONPASS
- README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
- Dependency/runtime riskcommand execution surface, network or browser surfaceINFO
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