Content
75%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-structured, mostly lean skill body that gives concrete DAG wiring and clear input/output specs. Slight gains available from trimming contextual prose and surfacing the script reference explicitly.
Suggestions
Tighten the 'Why this skill exists' bullet list to the essential trigger rather than enumerating moderation failure modes.
Add an explicit inline reference to scripts/animate.py (e.g. 'Implementation: scripts/animate.py') so the one-level-deep bundle file is clearly signaled from the body.
Note the script's own validation behavior (input-exists check, ffmpeg error handling, exit codes) in the body to surface the validation checkpoint.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient with clear sections (inputs table, output specs, DAG example, limits); the 'Why this skill exists' moderation-reasons list is slightly explanatory but justified, keeping it just short of lean. | 4 / 5 |
Actionability | Provides a concrete, copy-paste YAML DAG example for on_failure wiring plus a precise inputs table and output specs; minor gap is that the core ffmpeg invocation lives in the script rather than inline. | 4 / 5 |
Workflow Clarity | Clear sequence for the on_failure use with an explicit precondition ('The PNG must already exist on disk by the time the parent step fails'); single-purpose skill so simple-skill exception applies, but no explicit validate/retry checkpoint in the body keeps it at 4. | 4 / 5 |
Progressive Disclosure | Well-organized sections with a single one-level-deep bundle reference (scripts/animate.py via the entrypoint); good structure with minor gaps since the body does not explicitly narrate the script reference. | 4 / 5 |
Total | 16 / 20 Passed |