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Firm Location Pack

Name: Firm Location Pack
Author: romainsantoli-web

作者 romainsantoli-web · GitHub ↗ · v1.0.0

cross-platform ✓ 安全检测通过

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在 OpenClaw 中安装

/install firm-location-pack

功能描述

Location strategy and site selection pack. Geo-economic analysis, real estate intelligence, site scoring, tax incentive optimization, and TCO simulation. 5 l...

使用说明 (SKILL.md)

firm-location-pack

⚠️ Contenu généré par IA — validation humaine requise avant utilisation.

Purpose

Provides a complete location strategy and site selection toolkit for the firm. Enables structured geo-economic analysis, real estate market intelligence, multi-criteria site scoring, tax incentive identification, and total cost of occupation simulation over 3-5 years.

Designed to produce professional documents readable by every department: CEO (strategic location decisions), CFO (TCO projections), HR (talent pool analysis), Legal Status (territorial tax implications), Operations (logistics and infrastructure).

Tools (5)

Tool	Description	Category
`openclaw_location_geo_analysis`	Geo-economic analysis — talent pools, transport, ecosystem, quality of life	strategy
`openclaw_location_real_estate`	Real estate market intelligence — availability, pricing, trends by zone	real_estate
`openclaw_location_site_score`	Multi-criteria site scoring (20+ criteria) with weighted comparison matrix	strategy
`openclaw_location_incentives`	Tax incentives and aid programs by territory — ZFU, ZRR, BPI, FEDER	finance
`openclaw_location_tco_simulate`	Total Cost of Occupation simulation over 3-5 years	finance

Usage

skills:
  - firm-location-pack

# Geo-economic analysis of candidate cities:
openclaw_location_geo_analysis cities='["Paris 13e","Lyon Part-Dieu","Nantes"]' sector="tech" headcount=30

# Real estate search:
openclaw_location_real_estate zone="Île-de-France" property_type="bureau" surface_min=200 budget_max=6000

# Multi-criteria scoring:
openclaw_location_site_score sites='["Saint-Denis","Montreuil","Ivry"]' weights='{"transport":15,"talent":15,"price":20}'

# Tax incentives lookup:
openclaw_location_incentives zone="Saint-Denis Pleyel" company_type="startup" headcount=15

# TCO simulation:
openclaw_location_tco_simulate sites='["Paris 13e","Saint-Denis","Nantes"]' surface=250 horizon_years=3

Cross-Department Integration

Department	What they get	Tool
CEO	Site scoring matrix and strategic recommendation	`site_score`
CFO	TCO simulations and incentive impact	`tco_simulate` + `incentives`
HR	Talent pool analysis and quality of life data	`geo_analysis`
Legal Status	Territorial tax implications	`incentives`
Operations	Transport and infrastructure assessment	`geo_analysis`

Requirements

mcp-openclaw-extensions >= 3.2.0

安全使用建议

This skill is internally coherent for location strategy work and contains only instruction text. Before installing or enabling it: (1) review the mcp-openclaw-extensions package (version >=3.2.0) — that external dependency could introduce runtime code or require credentials; (2) avoid sending sensitive or personally identifiable data to the skill without vetting outputs and data handling; (3) treat AI-generated outputs as preliminary—have legal/tax/real-estate experts validate recommendations; (4) if you allow autonomous invocation, limit the skill's permissions or monitor its first runs to ensure it behaves as expected.

功能分析

Type: OpenClaw Skill Name: firm-location-pack Version: 1.0.0 The skill bundle appears benign. The `_meta.json` contains standard metadata, and the `SKILL.md` provides a clear, well-structured description of location strategy and site selection tools. There are no indicators of prompt injection attempts, malicious execution, data exfiltration, persistence mechanisms, or obfuscation. The usage examples and requirements are consistent with the stated purpose of the skill.

能力评估

ℹ Purpose & Capability

Name, description, and provided tools (geo analysis, real-estate intelligence, site scoring, incentives, TCO) are consistent. The only external requirement is mcp-openclaw-extensions >= 3.2.0 (declared in metadata); that dependency is plausible for adding helper utilities, but it is the only place where hidden code could be introduced, so you should review that package before trusting the skill.

✓ Instruction Scope

SKILL.md is instruction-only and shows clear, scoped tool calls and examples. It does not instruct the agent to read unrelated files, environment variables, or system paths, nor to exfiltrate data to external endpoints. The README warns outputs are AI-generated and require human validation.

✓ Install Mechanism

There is no install specification or code files included; this is the lowest-risk packaging model. However, runtime behavior could still rely on the declared extension (mcp-openclaw-extensions), which may install or invoke code when the agent loads it.

✓ Credentials

The skill declares no required environment variables, credentials, or config paths — proportional to its purpose. There are no requests for unrelated secrets in the SKILL.md. If the external extension requires credentials, that would be outside this skill's manifest and should be reviewed.

✓ Persistence & Privilege

Flags indicate default behavior (always: false, user-invocable true, model invocation allowed). The skill does not request permanent presence or system-wide config changes in its instructions.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install firm-location-pack
安装完成后，直接呼叫该 Skill 的名称或使用 /firm-location-pack 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.0

Initial release of firm-location-pack: a comprehensive toolkit for site selection and location strategy. - Provides 5 integrated tools for geo-economic analysis, real estate intelligence, site scoring, tax incentive search, and TCO simulation. - Supports multi-criteria decision-making for location strategy, tailored for various departments (CEO, CFO, HR, Legal, Operations). - Enables structured analyses with YAML-based usage examples. - Requires mcp-openclaw-extensions version 3.2.0 or higher.

元数据

Slug firm-location-pack

版本 1.0.0

许可证 —

累计安装 0

当前安装数 0

历史版本数 1

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