SKILLEMALL.ai
GitHub ↗ RU Sign in

BF wechat-article-assistant

微信公众号文章同步与详情抓取助手。支持公众号后台登录、搜索与添加公众号、同步文章列表、抓取单篇或单账号文章详情、下载文章图片、配置代理、导出最近文章汇总和 Markdown 报告。用于“查最近文章”“抓文章详情”“下载公众号文章图片”“同步指定公众号文章”“按账号导出汇总”等场景。

ClawHub Agent Skills author: henryczq v0.3.2 MIT-0 36 files · 1 script body ≈ 1 618 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 33/100 · Will not run — References files that are not bundled: references/account-classification.md

ProcedureWriting 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%
70
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: references/account-classification.md
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. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. 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: 36. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: references/account-classification.md

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: references/account-classification.md
  • 0Tools and files. 1 referenced file(s) missing: references/account-classification.md
  • 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
  • 100Steps. 85 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1618 tokens
  • 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
  • -2localhost URLs: will not work for another user
  • -325 of 26 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +3Description length 141: enough signal without eating the budget
  • +4Structure: 42 headings
  • +3Step-by-step instructions: 85 items
  • +4Has examples (26 code blocks)
  • +4Reference files are cited in the instructions (3 of 5)

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

External checks

ClawHub: suspicious
The skill matches its WeChat article-sync purpose, but it handles reusable WeChat login credentials and can expose sensitive session data through configured gateways, diagnostics, or messaging targets without strong warnings.
LLM: suspicious (high) · VirusTotal: · 29 May 2026