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wechatsync-publisher

多平台内容发布助手,支持智能选题筛选、AI生成优质内容、一键发布到微信公众号等平台;支持内容格式自动适配(HTML/Markdown/纯文本)

54

Quality

60%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Critical

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Fix and improve this skill with Tessl

tessl review fix ./skills/wechatsync-publisher/wechatsync-publisher/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

53%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 actionable and well-structured with strong one-level-deep reference signaling, but it is verbose due to heavy repetition of the platform/format table and redundant usage examples, and its batch-publishing workflow lacks validation checkpoints.

Suggestions

De-duplicate the platform classification: keep one canonical table in 步骤二 and point other sections to references/platform-requirements.md instead of restating lengths and formats.

Add a validation checkpoint after each publish step (e.g. check the draft/POST response and only proceed to the next platform on success) with a retry-on-failure feedback loop.

Collapse the three 使用示例 into one representative end-to-end example; remove the placeholder 'HTML内容' strings or show how real generated content is passed to the script.

DimensionReasoningScore

Conciseness

The platform/format classification (微信/知乎/掘金/CSDN/小红书 with lengths and formats) is repeated nearly verbatim across 步骤二, 分支B, 注意事项, and the 使用示例, and three usage examples largely restate the operation steps — noticeably verbose with several padded sections.

2 / 5

Actionability

Provides concrete, copy-pasteable commands (filter_topics.py, search_images.py, publish.py with full args); minor gaps are the placeholder 'HTML内容' strings and platforms flagged '需配置接口' that are not yet wired.

4 / 5

Workflow Clarity

The 选题→生成→发布 sequence is clear, but multi-platform batch publishing has no validation checkpoints or error-recovery feedback loops, and 故障排除 is generic, so the batch-operation cap of 3 applies.

3 / 5

Progressive Disclosure

Six reference files and three scripts (all verified present) are referenced one level deep with explicit '何时读取' signaling and a dedicated 资源索引; the minor gap is that platform detail already covered in platform-requirements.md is inlined and repeated in the body.

4 / 5

Total

13

/

20

Passed

Description

66%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 conveys a clear, specific capability set with natural trigger terms and a distinct niche, but it omits any explicit 'Use when...' guidance, leaving the 'when to invoke' question implicit and capping completeness.

Suggestions

Add an explicit 'Use when...' clause listing concrete triggers, e.g. 'Use when the user asks to publish articles to WeChat/知乎/掘金/小红书 or to distribute one piece of content across multiple platforms.'

Replace the vague '等平台' with the named target platforms so the scope is unambiguous.

Include common user phrasings as synonyms (e.g. '多平台分发', '一键推送', '公众号发文') to broaden trigger coverage.

DimensionReasoningScore

Specificity

Lists several concrete actions — '智能选题筛选', 'AI生成优质内容', '一键发布到微信公众号等平台', '内容格式自动适配(HTML/Markdown/纯文本)' — with only the minor gap that '等平台' leaves other platforms unspecified.

4 / 5

Completeness

It clearly answers 'what' the skill does but has no 'Use when...' clause or equivalent explicit trigger guidance, which caps completeness at 3 per the rubric.

3 / 5

Trigger Term Quality

Contains natural phrases a user would say ('多平台内容发布', '一键发布', '微信公众号', 'AI生成'), giving good keyword coverage, though a few common variations are absent.

4 / 5

Distinctiveness Conflict Risk

The multi-platform publishing-to-WeChat niche is mostly distinct with only minor overlap risk against closely related content-tooling skills.

4 / 5

Total

15

/

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
anbeime/skill
Reviewed

Table of Contents

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