SKILLEMALL.ai

AC enterprise-contact-path-mining

围绕目标企业的组织结构、关键部门、管理团队、对外投资、上下游合作、公开联系方式、合作机构、 产业园区、行业协会、投融资关系、招投标关系及公开活动轨迹等信息,系统挖掘企业可触达路径, 形成覆盖“企业入口—关键角色—关联机构—合作网络—产业链关系—投资线索—沟通切入点—触达策略” 的企业触达分析体系。本技能核心解决“对接企业时从哪里切入、找谁切入、通过什么渠道切入、 用什么理由切入、如何提升触达成功率”的关键问题。当用户需要挖掘企业触达路径、查询企业对接渠道、 梳理联系人线索、设计企业拜访策略、寻找招商合作切入点、分析企业关联机构、查询企业投资扩产线索 或开展招商对接前期筹备时,激活此技能。

ClawHub Agent Skills author: 撼地数科 v1.0.3 MIT-0 3 files body ≈ 1 763 tokens Open the sourceclawhub.ai analyzed 2 d ago

围绕目标企业的组织结构、关键部门、管理团队、对外投资、上下游合作、公开联系方式、合作机构、 产业园区、行业协会、投融资关系、招投标关系及公开活动轨迹等信息,系统挖掘企业可触达路径, 形成覆盖“企业入口—关键角色—关联机构—合作网络—产业链关系—投资线索—沟通切入点—触达策略”…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureProcurementtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
C
53/100
Has gaps
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: 3. 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")
  • 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 "triggers"
  • note frontmatter-key unknown frontmatter key "parameters"
  • note frontmatter-key unknown frontmatter key "tools"

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. Tools declared in frontmatter
  • 100Steps. 135 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1763 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

  • +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
  • +5Description quotes 2 example trigger phrases
  • +3Description length 297: enough signal without eating the budget
  • +4Structure: 40 headings
  • +3Step-by-step instructions: 135 items
  • +4Has examples (1 code blocks)
  • +1License stated

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

External checks

ClawHub: clean
This skill helps plan lawful business outreach using public company information, with clear limits against private data collection or deceptive contact tactics.
LLM: benign (high) · VirusTotal: · 10 Jul 2026