BD content-fetch-skill
多站点网页内容抓取工具，基于 Playwright 浏览器自动化抓取 Twitter/X.com 推文、知乎文章/回答、微信公众号文章、今日头条、虎嗅等站点，以及任意通用网页。统一通过 URL 自动匹配站点并执行抓取，输出结构化 JSON、页面截图和图片。当用户要求"抓取/爬取/下载/获取"网页文章、推文、公众号文章、知乎回答、新闻内容时使用。触发词：抓取推文、爬取 Twitter、爬取 X、下载推文、抓取知乎、爬取知乎、抓取公众号、爬取微信文章、抓取头条、爬取头条、抓取虎嗅、爬取虎嗅、抓取网页、爬取文章、下载文章、获取网页内容、保存网页、采集内容。
多站点网页内容抓取工具，基于 Playwright 浏览器自动化抓取 Twitter/X.com 推文、知乎文章/回答、微信公众号文章、今日头条、虎嗅等站点，以及任意通用网页。统一通过 URL 自动匹配站点并执行抓取，输出结构化…
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
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low Dangerous commands
cmd-background-processreferences/troubleshooting.md:151Starts a background / autostarted processnohup ./mihomo -d . > /tmp/mihomo.log 2>&1 &
Files scanned: 12. 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) that frontmatter does not declare
- 100Steps. 19 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1120 tokens
- 100Running it twice. No mutating operations
- low 11 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
- -2localhost URLs: will not work for another user
- +1No license
- +2Single-language instructions
- +3Description length 278: enough signal without eating the budget
- +4Structure: 13 headings
- +3Step-by-step instructions: 19 items
- +4Has examples (5 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +3All 6 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.