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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.

62

Quality

73%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

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

Quality

Content

88%Weight 40%Scale 1-5

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

The body is highly actionable and well-sequenced with strong validation feedback loops, scoring near the top on actionability and workflow clarity. The main weakness is mild verbosity and some content that could be split into reference files for better progressive disclosure.

DimensionReasoningScore

Conciseness

Mostly lean with executable bash blocks and direct instruction, but contains mild padding (e.g., 'A useful Daytona recording should look like a person using the product') and some repetition of the frame-proof path across the Default and Fallback sections.

4 / 5

Actionability

Fully executable copy-paste-ready commands throughout (serve directory, upload PNGs, preview-url, ffprobe duration check, curl -I verification) covering the common cases with concrete placeholders.

5 / 5

Workflow Clarity

Clear numbered sequences ('How to produce frame proof' steps 1-5) with explicit validation checkpoints and feedback loops (verify non-zero files, inspect PNG and recapture on mismatch, reject near-zero duration, only share URL after curl -I returns 200 OK).

5 / 5

Progressive Disclosure

Well-organized with clear section headers and no nested references, but it is a single ~239-line file with no bundle files; sections like Recording Standard and Before/After Flow could arguably be split out, leaving minor organization gaps.

4 / 5

Total

18

/

20

Passed

Description

58%Weight 40%Scale 1-5

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 is specific and distinct but keyword-heavy and missing an explicit 'Use when...' trigger clause, which caps its completeness. Rewording it into clear third-person sentences with a concrete trigger clause would raise the score.

Suggestions

Convert the keyword list into third-person sentences and add an explicit 'Use when...' trigger clause (e.g., 'Use when validating a Daytona UI flow for a PR or producing e2e evidence').

Replace jargon phrases like 'frame proof' and 'PR proof' with natural terms users would actually say (e.g., 'screenshots', 'screen recording', 'visual proof').

Lead with a single coherent action statement before listing evidence formats so the 'what' reads as a complete capability rather than comma-separated tags.

DimensionReasoningScore

Specificity

Lists several specific actions ('frame proof, HTML frames, screenshots, recording, PR proof, e2e evidence, validate visually' plus 'validated screenshots and optional videos'), though the keyword-stuffed phrasing leaves minor coverage gaps rather than comprehensive full-sentence action statements.

4 / 5

Completeness

Provides a clear 'what' ('Daytona artifacts workflow for validated screenshots and optional videos') but lacks any explicit 'Use when...' trigger clause, which caps completeness at 3 per the rubric guideline.

3 / 5

Trigger Term Quality

Contains relevant keywords ('screenshots', 'recording', 'e2e evidence') but mixes in jargon/non-natural phrases like 'frame proof', 'PR proof', and 'e2e evidence' that users would rarely say verbatim, missing common synonyms.

3 / 5

Distinctiveness Conflict Risk

The explicit 'Daytona' niche and PR/eval-evidence framing make it mostly distinct from generic screenshot skills, with only minor overlap risk.

4 / 5

Total

14

/

20

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
Devin-AXIS/iPolloWork
Reviewed

Table of Contents

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