BD gzh-download-knowledge
把自己的公众号历史文章批量导出为本地 Markdown 归档——后台官方「发表记录」全量列表、稳定链接、一键批量保存、纯本地运行、零 token 成本。由 webclaw3 驱动（复用你已登录的 Chrome，无需填任何 token/cookie）。触发场景：想把公众号历史文章批量存到本地做归档/知识库（只支持自己的公众号，后台登录的那个号）。
把自己的公众号历史文章批量导出为本地 Markdown 归档——后台官方「发表记录」全量列表、稳定链接、一键批量保存、纯本地运行、零 token 成本。由 webclaw3 驱动（复用你已登录的 Chrome，无需填任何…
As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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 · 1
✓ No critical or high findings
Medium and low: 1
-
low Exfiltration
exfil-secret-in-urlskill.mjs:249Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)url: `https://mp.weixin.qq.com/cgi-bin/appmsgpublish?sub=list&begin=…&count=…&token=…&lang=…
placeholder
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 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. 14 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 728 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
- +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
- -2localhost URLs: will not work for another user
- +1No license
- +2Single-language instructions
- +3Description length 173: enough signal without eating the budget
- +4Structure: 8 headings
- +3Step-by-step instructions: 14 items
- +4Has examples (2 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.