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BF wechat-post-skill

User-authorized WeChat Official Account article workflow for topic selection, drafting, editing, image planning, pre-publish review, and handoff to the user's configured WeChat publishing tool. Use when the user asks to 发公众号, 写公众号文章, 做公众号推送, or 发布草稿箱. Requires the user to provide and control any WeChat account access through environment variables or a vetted companion publisher.

ClawHub Agent Skills author: jiao1yin2he3 v1.0.3 MIT-0 5 files body ≈ 1 034 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 47/100 · Will not run — References files that are not bundled: img0.png, img1.png, imgX.png

ProcedureGitHubWriting and documentsInfrastructuretype 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
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
71
Run on models
none yet
Process rating
F
47/100
Will not run
References files that are not bundled: img0.png, img1.png, imgX.png
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: img0.png
  • warning missing-ref reference to a missing file: img1.png
  • warning missing-ref reference to a missing file: imgX.png
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 47/100

Will not run. References files that are not bundled: img0.png, img1.png, imgX.png
  • 0Tools and files. 3 referenced file(s) missing: img0.png, img1.png, imgX.png
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 16 mutating operations with no state check
  • 70Failures and branches. 5 branches
  • 85Steps. 42 steps, 1 vague phrases
  • 100When it triggers. States when to use and when not to
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1034 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 381: enough signal without eating the budget
  • +4Structure: 5 headings
  • +3Step-by-step instructions: 42 items
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: clean
This is a documentation-only WeChat article workflow that clearly limits credential handling and publishing to user-authorized companion tools.
LLM: benign (high) · VirusTotal: · 29 May 2026