SKILLEMALL.ai

CD weixin-quote

微信渠道『引用即上下文』的『功能装载器』(纯指导型)。**仅在用户明确要求为 openclaw-weixin 渠道启用/修复引用追问时**使用(触发短语:启用微信引用上下文、修复 openclaw-weixin 引用匹配)。本技能指导 agent 先取得明确同意并完成可校验的备份,**之后**才修改用户本机的微信渠道插件源码;完成后引用 bot 消息追问可被准确理解。

ClawHub Agent Skills author: yechang1450 v1.0.9 MIT-0 5 files body ≈ 650 tokens Open the sourceclawhub.ai↗ analyzed 7 d ago

微信渠道『引用即上下文』的『功能装载器』(纯指导型)。仅在用户明确要求为 openclaw-weixin 渠道启用/修复引用追问时使用(触发短语:启用微信引用上下文、修复 openclaw-weixin 引用匹配)。本技能指导 agent…

As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
D
43/100
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: 5. 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")

Process rating: all ten parameters 43/100

  • 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
  • 30Running it twice. 5 mutating operations with no state check
  • 60Tools and files. Uses tools (node) that frontmatter does not declare
  • 100Steps. 35 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 650 tokens

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)
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +2Single-language instructions
  • +3Description length 185: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 35 items
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: clean
This is a clearly disclosed guidance-only skill for modifying a local WeChat channel plugin after consent, with backups, rollback, and local-only message indexing controls.
LLM: benign (high) · VirusTotal: · 12 Sept 2026