SKILLEMALL.ai

CD privacy-search

隐私优先的多引擎并行搜索 Skill,十大搜索引擎并行检索。V1.9 新增可信度标记和口语化错误建议,SKILL.md 瘦身至 ≤12KB。V1.8 新增可信合成与垂直搜索。V1.7 新增 MCP Server 形态。V1.6 新增 Perplexity 式答案合成。V1.5 新增网页正文抓取、结果导出、LLM 摘要。V1.2 统一 HTTP 出口、SimHash 去重、多因子排序、结果缓存、SearXNG 本地部署、隐私模式切换。

ClawHub Agent Skills author: fyniujin v1.9.0 MIT-0 44 files · 36 scripts body ≈ 1 834 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

隐私优先的多引擎并行搜索 Skill,十大搜索引擎并行检索。V1.9 新增可信度标记和口语化错误建议,SKILL.md 瘦身至 ≤12KB。V1.8 新增可信合成与垂直搜索。V1.7 新增 MCP Server 形态。V1.6 新增 Perplexity 式答案合成。V1.5 新增网页正文抓取、结果导出、LLM…

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureDockerAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
D
46/100
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 · 0

✓ No critical or high findings

Files scanned: 30. 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 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, python) that frontmatter does not declare
  • 100Steps. 12 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1834 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
  • -34 of 22 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 218: enough signal without eating the budget
  • +4Structure: 26 headings
  • +3Step-by-step instructions: 12 items
  • +4Has examples (14 code blocks)
  • +4Reference files are cited in the instructions (5 of 5)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: suspicious
This is mostly a disclosed privacy-search tool, but its MCP fetch/synthesis features can request arbitrary URLs from the user's machine and need review before installation.
LLM: suspicious (high) · VirusTotal: · 10 Oct 2026