Content
70%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 highly actionable, operationally rigorous guide with excellent workflow sequencing and validation feedback loops, undermined by inlined provider-specific detail that should be split into reference files and by repeated emphasis that inflates token cost. The ambient-audio section is a stub despite being a claimed capability.
Suggestions
Move the Seedance multimodal section and the Veo last-frame chaining workflow into reference files (e.g. references/seedance.md, references/video-chaining.md), keeping a short pointer plus the shared rules in SKILL.md so image-only invocations don't load ~400 lines of video detail.
Fill in or remove the "Generating ambient audio" section — it currently offers zero executable guidance (no endpoint, no request fields, no example) for a capability the description explicitly advertises (环境音 / soundscapes).
State each cost/safety rule once: the one-at-a-time/sequential rule and the ask-resolution-every-time rule each appear 2–3 times across sections; consolidating them into a single shared rules block would cut tokens without losing the constraint.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly dense, non-derivable operational detail (endpoint behavior, error_type taxonomy, ARG_MAX workaround, model quirks), but redundancy is more than minor: the one-at-a-time/sequential rule is restated across the image, video, and chaining sections; the Seedance cost-gate blockquote restates a single rule three ways over ~150 words; and the "You do NOT configure models" paragraph over-explains. Fits anchor 3 ("includes some unnecessary explanation or could be tightened") better than anchor 4's "minor instances". | 3 / 5 |
Actionability | Nearly everything is copy-paste executable: complete curl examples, success/failure response JSON, field tables, a working poll loop, and exact helper-script invocations. The gap is the "Generating ambient audio" section — a 3-line abstraction ("Generate it programmatically, verify the audio") with no endpoint, fields, or commands, despite ambient audio being a headline trigger in the description, matching anchor 4's "concrete code or commands with minor gaps" rather than full coverage. | 4 / 5 |
Workflow Clarity | Clear Step 1→2→3 sequencing with explicit validation checkpoints and feedback loops throughout: verify backend via /api/media/types before anything, magick identify verification for exact sizes, retry-once on INVALID_ARGUMENT, rephrase-and-retry (up to 3) on content_filter, poll-until-terminal with failure and timeout handling, and a hard-rules checklist for the async Seedance flow. This matches the anchor-5 example's validation → fix → re-validate pattern. | 5 / 5 |
Progressive Disclosure | Section headers are clear and the single bundle script (scripts/video_seq.sh) is real and clearly signaled, but ~400 of ~590 lines are video/audio detail inlined in SKILL.md — the ~150-line Seedance section and the Veo last-frame chaining workflow load into context even for a simple image request and clearly belong in separate reference files, fitting anchor 3 ("content that should be separate is inline") rather than anchor 4's "most content is appropriately placed". | 3 / 5 |
Total | 15 / 20 Passed |