SKILLEMALL.ai

AD yq-weixin-connect

连接个人微信(不是企业微信)。用户说"连接个人微信"、"接入个人微信"、"绑定个人微信"、"个人微信扫码"时使用本 skill。注意:如果用户说的是"企业微信"或"企微",本 skill 不适用,请使用 wecom-connect skill。一旦匹配本 skill,必须严格按流程执行到底,不得跳步或自由发挥。

ClawHub Agent Skills author: tianheihei002 v1.0.0 MIT-0 3 files body ≈ 1 403 tokens Open the sourceclawhub.ai analyzed 34 h ago

连接个人微信(不是企业微信)。用户说"连接个人微信"、"接入个人微信"、"绑定个人微信"、"个人微信扫码"时使用本 skill。注意:如果用户说的是"企业微信"或"企微",本 skill 不适用,请使用 wecom-connect skill。一旦匹配本 skill,必须严格按流程执行到底,不得跳步或自由发挥。

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
D
46/100
Unfinished process
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: 3. 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 "AIGC"
  • note edit-residue the text marks something as outdated (lines 27, 29, 32, 220): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 46/100

  • 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
  • 60Tools and files. Uses tools (web, node) that frontmatter does not declare
  • 100Steps. 37 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1403 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
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 4 example trigger phrases
  • +3Description length 156: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 37 items
  • +4Has examples (9 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: suspicious
This skill appears intended to connect a personal WeChat account, but it installs and replaces a local OpenClaw extension and stores long-lived WeChat credentials without enough user-facing control or cleanup guidance.
LLM: suspicious (high) · VirusTotal: · 7 Jun 2026