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BC investment-project-assessment

围绕目标企业或招商项目的产业属性、投资规模、落地条件、产业带动能力、经济贡献潜力、 区域匹配度、投资可行性及风险约束等核心维度，系统评估该企业或项目是否值得招引、是否适合落地、 落地后能为区域带来什么价值，以及推进过程中需要重点关注哪些风险。本技能核心解决"这个项目值不值得招、 能不能落、落地价值有多大、对产业有没有带动、投资是否可行、政府应如何推进"等核心问题。 当用户需要评估招商项目、筛选招商线索、判断项目投资价值、分析项目产业带动能力、 为招商项目上会决策提供材料、对比多个招商项目优先级、判断项目落地条件成熟度、 形成招商项目评估报告时，激活此技能。

ClawHub Agent Skills author: 撼地数科 v1.0.3 MIT-0 2 files body ≈ 1 471 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

围绕目标企业或招商项目的产业属性、投资规模、落地条件、产业带动能力、经济贡献潜力、 区域匹配度、投资可行性及风险约束等核心维度，系统评估该企业或项目是否值得招引、是否适合落地、 落地后能为区域带来什么价值，以及推进过程中需要重点关注哪些风险。本技能核心解决"这个项目值不值得招、…

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
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
66
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. 229 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1471 tokens
  • 100Running it twice. No mutating operations
  • low 15 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
  • +4No input/output examples
  • +2Single-language instructions
  • +3Description length 281: enough signal without eating the budget
  • +4Structure: 56 headings
  • +3Step-by-step instructions: 229 items
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: clean
This is a markdown-only investment project assessment skill with disclosed research use and no hidden execution behavior.
LLM: benign (high) · VirusTotal: · 14 Jul 2026