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AC enterprise-investment-value-assessment

围绕目标企业行业赛道空间、行业竞争地位、经营成长能力、技术产品壁垒、客户资源质量、 资本市场关注度、信用风险水平及长期发展潜力等核心维度，依托公开合规信息，搭建覆盖 “行业空间—企业竞争力—经营成长性—资本关注度—风险约束—投资价值定级—场景化建议” 的全维度企业投资价值分析体系。本技能核心解决“企业是否具备投资与招引价值、核心价值来源、 成长可持续性、风险约束等级、是否值得深度尽调与合作对接”等关键问题。当用户需要评估企业 投资价值、研判企业发展潜力、筛选高成长企业、分析行业竞争优势、排查投资风险、开展投前尽调 或评估招商招引价值时，激活此技能。

ClawHub Agent Skills author: 撼地数科 v1.0.3 MIT-0 3 files body ≈ 2 092 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

围绕目标企业行业赛道空间、行业竞争地位、经营成长能力、技术产品壁垒、客户资源质量、 资本市场关注度、信用风险水平及长期发展潜力等核心维度，依托公开合规信息，搭建覆盖 “行业空间—企业竞争力—经营成长性—资本关注度—风险约束—投资价值定级—场景化建议”…

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

Analyzertype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
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. 138 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2092 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 277: enough signal without eating the budget
  • +4Structure: 41 headings
  • +3Step-by-step instructions: 138 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 disclosed Chinese-language enterprise investment research report skill that uses public information and does not include executable code, hidden data access, persistence, or account-changing behavior.
LLM: benign (high) · VirusTotal: · 10 Jul 2026