Content
63%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 body is highly actionable with concrete tool calls, paths, selectors, and well-sequenced fallback logic, but it repeats the imagegen-first rationale across multiple sections, leaves the execCommand injection mechanism unspecified, and relies on cross-skill references that do not resolve in this bundle. Consolidating the redundant sections and materializing or removing the dead references would lift it further.
Suggestions
Consolidate the overlapping imagegen-first sections ('按交付物选择制作路径', 'SVG 复发熔断闸', 'Full-page raster first', '什么时候才写 SVG') into a single decision procedure with the fallback criteria and the 'SVG override reason' gate stated once, and drop the redundant rows from the Common Mistakes table.
Fix or remove the unresolved references ('../.cat-cafe-shared-refs/narrative-clarity.md', '../rich-messaging/SKILL.md') — either bundle the needed guidance locally or verify the paths exist in the deployment environment — and consider moving the DOM selector tables and download-naming details into a references/ file to slim the main body.
Add concrete execCommand injection syntax for the browser paths and an explicit post-download verification step (confirm the expected 'Gemini_Generated_Image_{hash}.png' / 'ChatGPT Image … .png' file exists in the downloads directory) to close the workflow validation gap.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense with operational specifics and avoids generic concept explanations, but the imagegen-first rule is restated repeatedly across '按交付物选择制作路径', 'SVG 复发熔断闸', 'Full-page raster first', '什么时候才写 SVG / HTML / hybrid', and again in the Common Mistakes table (e.g. '低估 Codex image_gen' row), which is genuine tightening material. It fits 'Mostly efficient but includes some unnecessary explanation or could be tightened' rather than 4, where over-explanation would be only minor. | 3 / 5 |
Actionability | Guidance is largely executable: exact tool-call names, output paths ('~/.codex/generated_images/<sessionId>/'), 8-step numbered browser procedures, DOM selector tables, exact download filename patterns, a runnable bash snippet, and a concrete publish API signature. It stops short of 5 because 'execCommand 注入 prompt' is referenced for both platforms but never shown with actual syntax, leaving a minor gap. | 4 / 5 |
Workflow Clarity | Sequences are clear with most checkpoints present: a path-selection decision tree, explicit failure-fallback criteria ('连续 1-2 次整页直出都无法保住结构…再考虑 HTML/PPT/SVG/hybrid'), an 'SVG override reason' gate before degrading, and a visual-evaluation step before iteration. It misses 5 because the browser flows give wait durations ('等待生成（~15-30秒）') but no explicit verification that generation completed or that the expected file actually landed in the downloads directory. | 4 / 5 |
Progressive Disclosure | Sections are clearly headed and navigable, but the skill is a single ~240-line file with no bundle files (references/, scripts/, assets/ do not exist), and both outbound links ('../.cat-cafe-shared-refs/narrative-clarity.md', '../rich-messaging/SKILL.md#发送方式') do not resolve, so reference targets are unavailable. Detail that could live in reference files (DOM selector tables, download naming, per-platform browser walkthroughs) is inlined; this fits 'Some structure but could be better organized' better than 4, which requires references to be mostly clear and mostly appropriate placement. | 3 / 5 |
Total | 14 / 20 Passed |