AC wechat-forward
按需将当前对话内容转发到用户自己的微信。仅在用户明确要求"把这个发微信"时才执行， 将最近的消息内容通过 wxclawbot CLI 推送到用户微信，用于手机端查看。 Trigger ONLY when explicit: 发微信, 推送到微信, 发到微信, forward to wechat, 发给我微信, 帮我把这段话发微信, 帮我把这个发微信, forward this to wechat, send to wechat, 微信转发。 DO NOT TRIGGER when: 定时任务、自动推送、每日总结、告警通知、未提及"微信"的任何请求。 ⚠️ CRITICAL: 数据仅发送给用户自己的微信账号，不发送给任何第三方。 消息仅在用户明确要求时发送，绝不主动推送。
As a process C 64/100 · Has gaps — weak spots: result and completion, inputs and preconditions, progress reporting
How to improve
- 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: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 64/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 50Failures and branches. 0 branches, has a failure section
- 70When it triggers. States when to use, but not when not to
- 100Tools and files. No external tools needed
- 100Steps. 14 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 398 tokens
- 100Running it twice. No mutating operations
- low 10 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
- +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
- +1No license
- +2Single-language instructions
- +3Description length 339: enough signal without eating the budget
- +4Structure: 14 headings
- +3Step-by-step instructions: 14 items
- +4Has examples (4 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.