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AF uploadweixin

Convert Markdown articles into WeChat Official Account friendly inline-style HTML with 12 visual themes, rich-copy preview, macOS rich clipboard support, configurable Upload footer, gallery generation, and validation. Use when users ask for uploadweixin, 公众号排版, 微信排版, Markdown 转公众号, 微信可粘贴排版, or adding an Upload footer / 记忆同步 footer.

ClawHub Agent Skills author: Banlon v0.1.0 MIT-0 2 files body ≈ 1 264 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Convert Markdown articles into WeChat Official Account friendly inline-style HTML with 12 visual themes, rich-copy preview, macOS rich clipboard support…

As a process F 46/100 · Will not run — References files that are not bundled: references/wechat-html-rules.md, references/themes.md, references/brand-footer.md

GeneratorWriting and documentstype 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
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
F
46/100
Will not run
References files that are not bundled: references/wechat-html-rules.md, references/themes.md, references/brand-footer.md
Tools and files w 18
0
Inputs and preconditions w 11
0
Failures and branches w 10
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: 0. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/wechat-html-rules.md
  • warning missing-ref reference to a missing file: references/themes.md
  • warning missing-ref reference to a missing file: references/brand-footer.md
  • warning missing-ref reference to a missing file: scripts/render_wechat_article.py
  • warning missing-ref reference to a missing file: scripts/validate_wechat_html.py
  • warning missing-ref reference to a missing file: scripts/make_preview.py
  • warning missing-ref reference to a missing file: scripts/render_theme_gallery.py
  • warning missing-ref reference to a missing file: scripts/copy_wechat_clipboard_macos.swift
  • warning missing-ref reference to a missing file: scripts/diagnose_clipboard_macos.swift

Process rating: all ten parameters 46/100

Will not run. References files that are not bundled: references/wechat-html-rules.md, references/themes.md, references/brand-footer.md
  • 0Tools and files. 9 referenced file(s) missing: references/wechat-html-rules.md, references/themes.md, references/brand-footer.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 20When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 100Steps. 21 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1264 tokens
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress

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)
  • +1No license
  • +2Single-language instructions
  • +3Description length 333: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 21 items
  • +3Output format is stated explicitly
  • +4Has examples (7 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: clean
This skill is a disclosed Markdown-to-WeChat formatting workflow with no bundled executable code or hidden data handling, though its referenced helper scripts are missing from the package.
LLM: benign (high) · VirusTotal: · 12 Jul 2026