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daytona-recording-artifacts

frame proof, HTML frames, screenshots, recording, PR proof, e2e evidence, validate visually. Daytona artifacts workflow for validated screenshots and optional videos.

64

Quality

75%

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SecuritybySnyk

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tessl review fix ./.opencode/skills/daytona-recording-artifacts/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

77%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The content is highly actionable with strong, well-validated workflows, but it is a long monolithic file with some command repetition and no progressive disclosure into reference files.

Suggestions

Extract the video recording standard and the artifact-URL refresh procedure into a reference file (e.g. references/recording-and-urls.md) and link to it from SKILL.md to improve progressive disclosure.

De-duplicate the repeated python3 -m http.server 8090 invocation by defining it once and referencing it from both the default and fallback sections.

Trim the verbose proxy-URL refresh walkthrough into a concise 'restart sandbox, re-serve on 8090, confirm curl -I returns 200' checklist.

DimensionReasoningScore

Conciseness

The body avoids explaining concepts Claude already knows and is mostly concrete commands, but it repeats near-identical http.server invocations (frame-proof serve step vs. fallback section) and carries a verbose artifact-URL refresh procedure, so it is mostly efficient yet could be tightened below the lean score-3 bar.

2 / 3

Actionability

It provides fully executable, copy-paste-ready commands throughout ('daytona exec "$SANDBOX" -- ...', 'pnpm evals --flow <flow-id> --cdp-url ...', ffprobe duration checks, git fetch/checkout) with clearly marked placeholders, matching the score-3 'fully executable code/commands' anchor.

3 / 3

Workflow Clarity

The frame-proof production is a numbered 5-step sequence with explicit validation checkpoints (verify files are non-zero, ffprobe duration check, inspect the saved PNG for overlays, share URL only after 'curl -I' returns '200 OK') and feedback loops ('If the screenshot does not match, recapture'), meeting the score-3 'clear sequence with explicit validation and error recovery' anchor.

3 / 3

Progressive Disclosure

No bundle files exist (references/, scripts/, assets/ are absent) and the ~235-line SKILL.md is a single monolithic file with good section headers but no one-level-deep reference files; since it exceeds the 50-line simple-skill threshold, the inline content that could be split (e.g., video recording standard, URL-refresh procedure) caps it at the score-2 'content that should be separate is inline' level.

2 / 3

Total

10

/

12

Passed

Description

72%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description covers a clear, distinctive Daytona niche with good natural trigger-term coverage, but it relies on a keyword-stuffed noun list and omits any explicit 'Use when' trigger guidance, leaving completeness capped.

Suggestions

Add an explicit trigger clause, e.g. 'Use when the user asks for e2e/PR proof of a Daytona UI flow and needs screenshots or video evidence.'

Lead with a verb-driven action phrase ('Capture, serve, and share validated screenshots and video proof of Daytona UI flows') rather than a noun/keyword dump to strengthen specificity.

Trim proprietary jargon like 'frame proof' and 'HTML frames' from the opening so the most natural user terms (screenshots, recording, e2e evidence) lead.

DimensionReasoningScore

Specificity

The phrase 'Daytona artifacts workflow for validated screenshots and optional videos' names the domain and concrete artifacts, but the leading clause 'frame proof, HTML frames, screenshots, recording, PR proof, e2e evidence, validate visually' is a noun/keyword list with only one true action ('validate visually'), so it names some actions but is not comprehensive as the score-3 anchor (verb-driven 'extract... fill... merge') requires.

2 / 3

Completeness

It states what the skill does ('Daytona artifacts workflow for validated screenshots and optional videos') but contains no 'Use when...' clause or equivalent explicit trigger guidance, so per the rubric guideline completeness is capped at 2 rather than reaching the score-3 'what AND when' bar.

2 / 3

Trigger Term Quality

Terms like 'screenshots', 'recording', 'e2e evidence', 'PR proof', 'validate visually', and 'videos' are natural phrases a user would say when requesting UI flow validation proof, giving good coverage matching the score-3 anchor whose example is likewise a comma-list of natural terms.

3 / 3

Distinctiveness Conflict Risk

The 'Daytona' qualifier plus 'e2e evidence' and 'PR proof' carve a clear niche (Daytona UI-flow artifact capture) unlikely to trigger for unrelated screenshot/recording skills, matching the score-3 'clear niche with distinct triggers' anchor.

3 / 3

Total

10

/

12

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
different-ai/openwork
Reviewed

Table of Contents

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