Content
56%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.
The content has a clear sequenced workflow with a checklist, verification step, and concrete upload/insert commands, but is dragged down by padding (promo footer, success cases, dated metadata), vague image-acquisition steps, inconsistent script paths, and external absolute-path references instead of a proper bundle structure.
Suggestions
Remove the promotional footer, maintainer block, '成功案例' section, and the '最后更新' date to cut padding; if version-specific details like doubao-seedream-4-0-250828 matter, put them in a dedicated reference file rather than the body.
Make the image-acquisition steps executable: add a concrete doubao-seedream API call example and a concrete WebFetch/Wikimedia Commons lookup procedure, and use one consistent script path for upload_image.py throughout.
Move detailed material (image source priority details, image specs, FAQ) into reference files inside the skill bundle (e.g. references/sources.md, references/faq.md) and link them clearly from a lean SKILL.md overview instead of pointing at absolute paths on the author's machine.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient structured guidance, but contains clear padding: a "成功案例" section, a promotional footer ("花叔出品 | 公众号「花叔」| 30万+粉丝 | 代表作…"), maintainer/last-updated metadata, and time-sensitive details (model version "doubao-seedream-4-0-250828", "最后更新: 2025-11-07") that are not in a deprecated section. This fits anchor 3 ('mostly efficient but some unnecessary explanation or could be tightened'), not anchor 4's 'minor instances'. | 3 / 5 |
Actionability | The upload and insertion halves are concrete and copy-paste ready (`python3 …/tools/upload_image.py <URL>`, the `` template, `grep -n "!\["`), but the image-acquisition half stays high-level ("调用API生成图片", "WebFetch获取") with no executable API-call example, and the script path is inconsistent (`/tools/upload_image.py` on line 75 vs the full `/Users/alchain/…` path elsewhere). This lands between anchors 3 and 4 — incomplete concrete guidance — so 3. | 3 / 5 |
Workflow Clarity | The 5-step standard flow is clearly sequenced, preceded by a pre-flight checklist, and ends with an explicit verification step (Step 5 grep + '所有图片链接验证通过'), plus a documented failure fallback ('上传失败时,自动使用原链接作为fallback'). Not anchor 5 because there is no validate→fix→retry loop for the batch upload operation (the grep check only inspects link syntax, not accessibility); clearly above anchor 3's 'checkpoints missing or implicit'. | 4 / 5 |
Progressive Disclosure | No bundle files exist (no references/, scripts/, or assets/), and the referenced materials (`/tools/README.md`, `/公众号写作/AI文生图API调用.md`, `配图Best Practice总结.md`) are external machine-specific absolute paths rather than well-signaled one-level-deep bundle links. The ~210-line body inlines content (image specs, FAQ, source-priority details) that could be split out, matching anchor 3 ('some structure… references present but not clearly signaled') rather than anchor 4. | 3 / 5 |
Total | 13 / 20 Passed |