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在 OpenClaw 中安装
/install residential-property-rolling-suds-estimator
功能描述
Estimate exterior cleaning services for Rolling Suds from a U.S. residential property address using public property information, attached exterior photos, ma...
安全使用建议
This skill is an instruction-only estimator that uses public property data and any photos you attach to produce a salesperson-friendly estimate; it asks for no credentials and has no install footprint. Before installing, consider: (1) only provide photos and addresses you are comfortable sharing (they may include personally identifying property details); (2) this tool produces estimates only — verify any quote before accepting or entering into Workiz; (3) because it's instruction-only, it won't add binaries or network endpoints, but confirm you trust the skill author/repo if you plan to use it in automated workflows; (4) if you need the agent to measure with Google Earth, that is a manual step the instructions recommend, not an automated data fetch. Overall the skill appears coherent and proportionate to its stated purpose.
功能分析
Type: OpenClaw Skill
Name: residential-property-rolling-suds-estimator
Version: 0.1.9
The skill bundle is a specialized tool for generating residential exterior cleaning estimates for a specific business (Rolling Suds). The instructions in SKILL.md and pricing-rules.md are strictly focused on property assessment, pricing logic, and sales workflow, with no evidence of malicious intent, data exfiltration, or unauthorized execution.
能力标签
能力评估
Purpose & Capability
Name, description, and included pricing rules clearly match the runtime instructions: estimate exterior cleaning from an address, photos, and public property/listing data for a St. Louis-area service. The skill requests no unrelated binaries, environment variables, or config paths.
Instruction Scope
SKILL.md stays within scope: it tells the agent to validate addresses, inspect attached exterior photos, consult public listing/map data, and apply the provided pricing rules. It does not instruct reading local system files, retrieving unrelated credentials, or sending data to unknown endpoints. It does recommend Google Earth as a human-run fallback for measurements (a reasonable, scoped suggestion).
Install Mechanism
There is no install spec and no code files — the skill is instruction-only, so nothing is written to disk and no external packages are fetched.
Credentials
The skill declares no required environment variables, no primary credential, and no config paths. All data sources referenced are public property/listing data or user-provided photos, which are proportional to the stated purpose.
Persistence & Privilege
always is false and the skill does not request elevated or persistent privileges. It is user-invocable and allows normal autonomous invocation (the platform default); nothing in the skill attempts to modify other skills or system-wide settings.
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 residential-property-rolling-suds-estimator - 安装完成后，直接呼叫该 Skill 的名称或使用
/residential-property-rolling-suds-estimator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
v0.1.9
Require Lead number before intake handoff
v0.1.8
Require Lead number before estimator flow
v0.1.7
Add ClawHub publish metadata headers
元数据
常见问题
Residential Property Rolling Suds Estimator 是什么？
Estimate exterior cleaning services for Rolling Suds from a U.S. residential property address using public property information, attached exterior photos, ma... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 118 次。
如何安装 Residential Property Rolling Suds Estimator？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install residential-property-rolling-suds-estimator」即可一键安装，无需额外配置。
Residential Property Rolling Suds Estimator 是免费的吗？
是的，Residential Property Rolling Suds Estimator 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Residential Property Rolling Suds Estimator 支持哪些平台？
Residential Property Rolling Suds Estimator 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Residential Property Rolling Suds Estimator？
由 Michael D（@mwdearing）开发并维护，当前版本 v0.1.9。
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