BC web-session-miner
⚠️ 前置依赖：browser-skill（bsk CLI + Chromium 扩展，需先在 WorkBuddy 插件市场安装）。 网页登录态数据挖掘器（通用版）。复用用户已登录浏览器的登录态（cookies），通过 browser-skill 驱动真实浏览器抓取网页版数据，把「人肉复制粘贴」变成程序化采集，零 API 成本获取企业工商、 人物图谱、股权穿透、财务等深度数据，并输出结构化 JSON 或 HTML 报告。当目标网站同时提供 「官方 MCP/API（按次计费）」与「网页版（会员展示）」时，还能额外绕开 API 积分计费。 采用「通用方法论 + 站点适配器（recipes）」可插拔架构，内置企查查适配器，可扩展天眼查、 爱企查、国家企业信用信息公示系统等任意有「网页版 + 会员登录态」的站点。当用户需要查企业、 查老板、查股东、查实控人、股权穿透、对外投资、企业尽调、供应商背调、批量采集时使用。 触发词：查企业、查老板、查股东、查实控人、股权穿透、对外投资、企业尽调、 工商信息、人物图谱、网页抓取、登录态抓取、批量采集、数据挖掘。
⚠️ 前置依赖：browser-skill（bsk CLI + Chromium 扩展，需先在 WorkBuddy 插件市场安装）。 网页登录态数据挖掘器（通用版）。复用用户已登录浏览器的登录态（cookies），通过 browser-skill 驱动真实浏览器抓取网页版数据，把「人肉复制粘贴」变成程序化采集，零…
As a process C 53/100 · Has gaps — 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 · 0
✓ No critical or high findings
Files scanned: 8. 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") - note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown frontmatter key "displayName" - note
frontmatter-keyunknown frontmatter key "description_zh" - note
frontmatter-keyunknown frontmatter key "agent_created"
Process rating: all ten parameters 53/100
- 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
- 100Tools and files. No external tools needed
- 100Steps. 36 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1008 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
- +4No input/output examples
- +2Single-language instructions
- +3Description length 478: enough signal without eating the budget
- +4Structure: 11 headings
- +3Step-by-step instructions: 36 items
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.