SKILLEMALL.ai

AD wemp-ops

微信公众号全流程运营:选题→采集→写作→排版→发布→数据分析→评论管理。 Use when: (1) 用户要写公众号文章或提供了选题方向, (2) 用户说"写一篇关于XXX的文章"/"帮我写篇推文"/"出一篇稿子", (3) 用户要求采集热点/素材/竞品分析, (4) 用户提到公众号日报/周报/数据分析/阅读量/粉丝, (5) 用户要求检查评论/回复评论/评论管理, (6) 用户说"发布"/"推送"/"推到公众号"/"发到草稿箱", (7) 用户讨论文章排版/封面图/标题优化。 即使用户没有明确说"公众号",只要涉及微信文章写作、内容发布、 公众号后台操作、文章数据查看、或读者互动管理,都应使用此技能。 当用户给出选题方向时,自动完成素材采集→内容写作→封面生图→排版美化→推送草稿箱全流程。 NOT for: 小红书运营(用 xiaohongshu-ops)、纯内部文档写作(用 internal-comms)、 通用 Word 文档(用 docx)。

ClawHub Agent Skills author: lovensky1992-wk v1.0.4 MIT-0 30 files body ≈ 3 637 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 47/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches

ProcedureWordInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
92
Run on models
none yet
Process rating
D
47/100
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
    • 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: 27. 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 47/100

    • 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
    • 30Running it twice. 2 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (python, node) that frontmatter does not declare
    • 100Steps. 149 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3637 tokens
    • low 11 top-level sections: this looks like several domains in one skill
    • low The response is described with custom markup (12 tags): a typed call is more reliable
    • medium 3 test cases, all positive: not one "should refuse" or "should ask first"

    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

    • +3Output format is not stated: the model decides each time
    • -259 emoji in the instructions: noise for the model
    • -31 of 9 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 3 example trigger phrases
    • +4Description says when NOT to use the skill
    • +3Description length 431: enough signal without eating the budget
    • +4Structure: 37 headings
    • +3Step-by-step instructions: 149 items
    • +4Has examples (13 code blocks)
    • +4Reference files are cited in the instructions (7 of 8)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.

    External checks

    ClawHub: suspicious
    This is a real WeChat operations skill, but it needs review because it bundles credentials and can affect public-account content, followers, comments, drafts, analytics, and other social platforms.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026