SKILLEMALL.ai

BD soushen-hunter

高性能 Bing 搜索引擎 Skill - "搜神猎手" 使用 Playwright 底层 API 进行深度网页搜索和元素提取 功能: 1. Bing 搜索执行 - 返回结构化搜索结果(标题、链接、摘要、来源) 2. 深度页面分析 - 提取页面的所有关键元素(链接、表单、按钮、脚本、元数据) 触发条件: - 用户需要进行 Bing 网络搜索时 - 需要提取网页结构信息(链接、表单等)时 - 需要无 API 成本的搜索解决方案时 使用方法: - 基础搜索:python scripts/bing_search.py "搜索关键词" - 深度分析:python scripts/bing_search.py "关键词" --deep <目标URL>

ClawHub Agent Skills author: hexian2001 v1.0.0 5 files body ≈ 289 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationPlaywrightSoftware developmentInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
99
Quality 40%
75
Run on models
none yet
Process rating
D
41/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. 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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Dangerous commands cmd-privilege scripts/bing_search.py:104
    Privilege escalation / world-writable permissions (string literal in code, not executed)
    '--disable-setuid-sandbox',
    code literal

Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description 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 (soushen-hunter) differs from the folder (soushen)
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 18 steps
  • 100Execution cost. Instruction body is 289 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 327: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 18 items
  • +4Has examples (3 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: suspicious
This web-search skill needs Review because its deep browsing mode can collect sensitive page data and weakens browser protections beyond what its stated purpose explains.
LLM: suspicious (high) · VirusTotal: · 29 May 2026