SKILLEMALL.ai

BF company-search-tool-pro

企业查询助手专业版是面向企业级场景的完整企业信息查询与风险剖析工具。在免费版单维度查询能力之上,新增企业尽调报告、风险筛查、成批查询、监控告警、关联关系剖析、历史数据查询、知识产权查询、招投标查询八大高级能力。Use。适用于独立开发者、企业团队和自动化工作流场景,提供结构化输出与错误处理机制,支持中文交互,即开即用 功能涵盖: company。

ClawHub Hermes author: 天轰穿 v1.0.0 MIT-0 2 files body ≈ 2 799 tokens Open the sourceclawhub.ai analyzed 2 d ago

企业查询助手专业版是面向企业级场景的完整企业信息查询与风险剖析工具。在免费版单维度查询能力之上,新增企业尽调报告、风险筛查、成批查询、监控告警、关联关系剖析、历史数据查询、知识产权查询、招投标查询八大高级能力。Use。适用于独立开发者、企业团队和自动化工作流场景,提供结构化输出与错误处理机制,支持中文交互,即开即用…

As a process F 35/100 · Will not run — References files that are not bundled: references/detail.md

IntegrationResearchtype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
70
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: references/detail.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
  2. The text references files that are not there: add them or drop the references.
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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 173 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • warning missing-ref reference to a missing file: references/detail.md
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "summary"
  • note frontmatter-key unknown frontmatter key "tools"
  • note frontmatter-key unknown frontmatter key "pricing_tier"

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: references/detail.md
  • 0Tools and files. 1 referenced file(s) missing: references/detail.md
  • 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
  • 100Steps. 72 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2799 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)
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +3Description length 173: enough signal without eating the budget
  • +4Structure: 55 headings
  • +3Step-by-step instructions: 72 items
  • +4Has examples (6 code blocks)
  • +1License stated

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

External checks

ClawHub: suspicious
The skill is mostly a company-risk lookup assistant, but it asks for broad local file and shell authority and includes monitoring/webhook behavior without clear limits.
LLM: suspicious (high) · 20 Aug 2026