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微信公众号发文自动化 skill。覆盖 Markdown 排版渲染（12 种内置主题 + 自定义主题）、正文图片上传、封面上传、草稿创建/更新/预览、人工确认发布、发布状态查询、素材/草稿/已发布文章查询。Use when agent needs to help write or publish 公众号文章, or for requests like "发公众号", "创建草稿", "更新草稿", "确认发布", "查询发布结果", "查素材", "查草稿列表", "查已发布文章", "添加主题", "切换主题", or "主题列表".

ClawHub Agent Skills author: traceless v0.1.0 MIT-0 16 files body ≈ 877 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorInfrastructureAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
96
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 0

    ✓ No critical or high findings

    Files scanned: 16. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 46/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 1 mutating operations with no state check
    • 40Consistency. Frontmatter name (wechat-publisher) differs from the folder (wechat-publisher-wemd)
    • 100Tools and files. No external tools needed
    • 100Steps. 33 steps
    • 100Execution cost. Instruction body is 877 tokens

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 2 example trigger phrases
    • +3Description length 271: enough signal without eating the budget
    • +4Structure: 16 headings
    • +3Step-by-step instructions: 33 items
    • +4Has examples (7 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)
    • +3All 9 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 96.

    External checks

    ClawHub: suspicious
    This WeChat publishing skill mostly does what it says, but it needs review because first use can fetch and run unpinned third-party build code and it can upload broad local file paths using stored WeChat credentials.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026