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AF baoyu-post-to-wechat

Posts content to WeChat Official Account (微信公众号) via API or Chrome CDP. Supports article posting (文章) with HTML, markdown, or plain text input, and image-text posting (贴图, formerly 图文) with multiple images. Markdown article workflows default to converting ordinary external links into bottom citations for WeChat-friendly output. Use when user mentions "发布公众号", "post to wechat", "微信公众号", or "贴图/图文/文章".

ClawHub Agent Skills author: tonight-su v0.1.1 MIT-0 5 files body ≈ 4 476 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process F 49/100 · Will not run — References files that are not bundled: scripts/wechat-browser.ts, scripts/wechat-article.ts, scripts/wechat-api.ts

IntegrationWriting 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
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
81
Run on models
none yet
Process rating
F
49/100
Will not run
References files that are not bundled: scripts/wechat-browser.ts, scripts/wechat-article.ts, scripts/wechat-api.ts
Tools and files w 18
0
Result and completion w 14
0
When it triggers w 12
20
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: baoyu-post-to-wechat (ClawHub)

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: scripts/wechat-browser.ts
  • warning missing-ref reference to a missing file: scripts/wechat-article.ts
  • warning missing-ref reference to a missing file: scripts/wechat-api.ts
  • warning missing-ref reference to a missing file: scripts/md-to-wechat.ts
  • warning missing-ref reference to a missing file: scripts/check-permissions.ts

Process rating: all ten parameters 49/100

Will not run. References files that are not bundled: scripts/wechat-browser.ts, scripts/wechat-article.ts, scripts/wechat-api.ts
  • 0Tools and files. 5 referenced file(s) missing: scripts/wechat-browser.ts, scripts/wechat-article.ts, scripts/wechat-api.ts
  • 0Result and completion. Does not say what the result is
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (baoyu-post-to-wechat) differs from the folder (baoyu-post-to-wechat-3)
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 4476 tokens
  • 100Steps. 53 steps
  • 100Failures and branches. 8 branches, has a failure section
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • low 12 top-level sections: this looks like several domains in one skill

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 403: enough signal without eating the budget
  • +4Structure: 23 headings
  • +3Step-by-step instructions: 53 items
  • +4Has examples (19 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

External checks

ClawHub: suspicious
This skill is aimed at WeChat posting, but it asks agents to handle account credentials and persistent configuration without enough scoping or secret-safety guidance, and its docs reference scripts that are not included.
LLM: suspicious (high) · VirusTotal: · 29 May 2026