SKILLEMALL.ai

AC enterprise-investment-attraction-feasibility

围绕目标企业扩产动向、跨区域布局需求、迁址潜在诉求、产业赛道适配度、区域承载能力、 本地产业链协同、公开可验证政企链接、合规触达路径及项目落地风险等核心维度,依托公开合规信息, 搭建覆盖“企业招引价值—扩产迁址信号—产业匹配度—区域承载条件—本地关联网络—合规触达路径— 招引可行性定级—落地策略与风险防控”的全维度招商研判分析体系。本技能核心解决“目标企业是否 值得招引、是否具备扩产迁址需求、能否在本地落地、有无合规对接入口、如何精准推进招引工作” 等招商核心决策问题。当用户需要分析企业招引可行性、判断企业招引价值、研判企业扩产迁址需求、 评估企业区域落地适配性、核查本地产业协同关系、挖掘合规触达路径或制定专项招引策略时, 激活此技能。

ClawHub Agent Skills author: 撼地数科 v1.0.0 MIT-0 2 files body ≈ 2 290 tokens Open the sourceclawhub.ai analyzed 3 d ago

围绕目标企业扩产动向、跨区域布局需求、迁址潜在诉求、产业赛道适配度、区域承载能力、 本地产业链协同、公开可验证政企链接、合规触达路径及项目落地风险等核心维度,依托公开合规信息, 搭建覆盖“企业招引价值—扩产迁址信号—产业匹配度—区域承载条件—本地关联网络—合规触达路径—…

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

ProcedureData and analyticstype 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: 2. 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. 148 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2290 tokens
  • 100Running it twice. No mutating operations
  • low 12 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 322: enough signal without eating the budget
  • +4Structure: 49 headings
  • +3Step-by-step instructions: 148 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 is a prompt-only public-source business feasibility reporting skill with disclosed limits and no hidden code or privileged behavior.
LLM: benign (high) · VirusTotal: · 10 Jul 2026