AD wechat-summary
总结微信公众号文章内容。当用户提供微信公众号文章链接(mp.weixin.qq.com)并要求总结、概括、摘要、快速了解文章内容时使用此 skill。也适用于用户说"帮我看看这篇文章讲什么"、"这篇公众号文章说了啥"、"总结一下这个链接"等请求。只要看到 mp.weixin.qq.com 的链接并且用户想了解内容,就应该使用这个 skill。
As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
ReferenceWriting and documentsInfrastructuretype and topics are labelled automatically from the skill text
The same skill appears in 1 more place: ClawHub
How to improve
- 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-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 41/100
- 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
- 40Consistency. Frontmatter name (wechat-summary) differs from the folder (wechat-summary2)
- 60Tools and files. Uses tools (web, python) that frontmatter does not declare
- 100Steps. 21 steps
- 100Execution cost. Instruction body is 320 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 3 example trigger phrases
- +3Description length 172: enough signal without eating the budget
- +4Structure: 12 headings
- +3Step-by-step instructions: 21 items
- +4Has examples (4 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.
External checks
ClawHub: clean
This skill fetches a user-provided article link and summarizes it, with no evidence of hidden data access, persistence, or destructive behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026