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AC huo15-multi-wechat

在 macOS 上创建多个独立微信实例，可同时登录不同账号。通过复制官方微信应用并修改 CFBundleIdentifier + 重命名可执行文件 + 重新签名，绕过微信单实例锁和 Launch Services 缓存。当用户说"微信多开""开两个微信""多个微信同时登录""multi wechat"等意图时使用。 支持创建任意数量的微信副本，open 命令和 Dock 点击均可正常多开。

ClawHub Agent Skills author: Job Zhao v1.1.0 MIT-0 6 files · 1 script body ≈ 701 tokens Open the sourceclawhub.ai↗ analyzed 29 h ago

在 macOS 上创建多个独立微信实例，可同时登录不同账号。通过复制官方微信应用并修改 CFBundleIdentifier + 重命名可执行文件 + 重新签名，绕过微信单实例锁和 Launch Services 缓存。当用户说"微信多开""开两个微信""多个微信同时登录""multi wechat"等意图时使用。…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

Proceduretype 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%
74
Run on models
none yet
Process rating
C
53/100
Has gaps
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

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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: 6. 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")
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "aliases"

Process rating: all ten parameters 53/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 100Tools and files. No external tools needed
  • 100Steps. 26 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 701 tokens
  • 100Running it twice. No mutating operations

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
  • -41 reference files, but SKILL.md never points to them: the model will not open them
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 2 example trigger phrases
  • +3Description length 196: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 26 items
  • +4Has examples (1 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

External checks

ClawHub: suspicious
This skill appears to do what it says, but it should be reviewed because it modifies and re-signs WeChat app copies in /Applications and can delete existing copies with administrator privileges.
LLM: suspicious (high) · 30 Jul 2026