SKILLEMALL.ai

BD 智能搜索工具集

Smart Search MCP 是一个专注于技术领域的智能搜索工具集,提供14个增强型搜索工具,覆盖国际和国内主流技术平台,具备智能URL生成、输入验证、高级搜索技巧等功能,适用于开发者快速查找技术文档、API参考、开源项目等。

ClawHub Agent Skills author: Ning Cai v1.0.1 MIT-0 7 files body ≈ 1 859 tokens Open the sourceclawhub.ai analyzed 2 d ago

Smart Search MCP 是一个专注于技术领域的智能搜索工具集,提供14个增强型搜索工具,覆盖国际和国内主流技术平台,具备智能URL生成、输入验证、高级搜索技巧等功能,适用于开发者快速查找技术文档、API参考、开源项目等。

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

IntegrationGitHubAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
65
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 · 0

✓ No critical or high findings

Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • 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 (智能搜索工具集) differs from the folder (xby-smart-search)
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 100Steps. 14 steps
  • 100Execution cost. Instruction body is 1859 tokens
  • 100Running it twice. No mutating operations
  • low 21 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)
  • +3Description length 115: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -229 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +4Structure: 37 headings
  • +3Step-by-step instructions: 14 items
  • +4Has examples (2 code blocks)
  • +3All 4 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.

External checks

ClawHub: suspicious
This search skill does not look malicious, but it should be reviewed because it stores an API key locally and contains inconsistent admissions-related instructions.
LLM: suspicious (medium) · VirusTotal: · 3 Jul 2026