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Windsor.ai Analytics
作者
Carlos Leon
· GitHub ↗
· v1.0.3
558
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2
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当前安装
4
版本数
在 OpenClaw 中安装
/install windsor-ai
功能描述
Connect to Windsor.ai MCP for natural language access to 325+ data sources including Facebook Ads, GA4, HubSpot, Shopify, and more.
安全使用建议
This skill is internally consistent for connecting your Windsor.ai account via mcporter, but check a few operational details before installing: 1) Verify the source/trust of this skill (no homepage and 'Source: unknown' in the registry). 2) Confirm the API key's scope in Windsor.ai and create a least-privilege key if possible. 3) Prefer storing the key in a secure secrets manager or system keychain rather than shell rc files; the instructions already warn about this. 4) Note the metadata mismatch: SKILL.md declares WINDSOR_API_KEY as the primary env, but the registry metadata showed no primary credential — confirm which is authoritative. 5) The metadata lists mcporter as a required binary but the instructions use 'npx mcporter'; ensure you understand whether a global mcporter install is required in your environment. 6) Because the skill will edit/create ~/.clawdbot/.env and a project config/mcporter.json, review and back up those files if you have existing configurations. Absence of scanner findings only means there were no regex hits — it does not replace the checks above.
功能分析
Type: OpenClaw Skill
Name: windsor-ai
Version: 1.0.3
The skill bundle is benign. It provides instructions for connecting to the Windsor.ai API using an API key, configuring the `mcporter` tool, and querying data. The `SKILL.md` file includes clear setup steps, usage examples, and troubleshooting tips. Notably, it contains a 'Security note' advising against insecure storage of the API key, which is a positive indicator of security awareness. All commands and instructions are directly related to the stated purpose of integrating with Windsor.ai and do not exhibit any malicious intent, prompt injection attempts, or unauthorized actions.
能力评估
Purpose & Capability
The name/description (Windsor.ai MCP access) matches the requested environment variable (WINDSOR_API_KEY) and the instructions (configure mcporter to point at https://mcp.windsor.ai). Requiring npx/node is reasonable for running mcporter via npx. No unrelated credentials or unrelated binaries are requested.
Instruction Scope
The SKILL.md instructs writing the API key to ~/.clawdbot/.env, exporting WINDSOR_API_KEY, and adding a windsor-ai entry to a project config/mcporter.json. Those file writes and the export are expected for this integration, but you should be aware the skill instructs modifying a project config and creating a local env file (it does not instruct reading unrelated system files).
Install Mechanism
This is an instruction-only skill with no install spec and no downloadable code, which is the lowest-risk install model.
Credentials
Only a single service credential (WINDSOR_API_KEY) is required, which is proportionate. Minor metadata mismatch: the SKILL.md metadata declares openclaw.primaryEnv as WINDSOR_API_KEY, but the registry summary listed 'Primary credential: none' — this is a metadata inconsistency to confirm before install.
Persistence & Privilege
always:false and no install that makes the skill persistent system-wide. The skill does instruct updating project config files and creating a local env file, which is normal for this type of connector and does not by itself indicate elevated privileges.
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 windsor-ai - 安装完成后,直接呼叫该 Skill 的名称或使用
/windsor-ai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
v1.0.3
- Updated metadata to include openclaw compatibility and revised credentials section.
- No changes to core functionality or usage instructions.
v1.0.2
- Improved security guidance for API key storage; now recommends using environment variables or secured `.env` files instead of shell rc files.
- Updated environment setup instructions to emphasize security best practices and avoid exposing secrets in shell startup scripts.
- Added a security note under setup with advice on restricting secret access and suggested alternatives for secret management.
- Updated `metadata` to specify required binaries (`mcporter`, `npx`, `node`) and clarified primary credential (`WINDSOR_API_KEY`).
v1.0.1
windsor-ai v1.0.1
- Documentation (SKILL.md) updated with minor edits and formatting improvements.
- Reference link added for Windsor.ai.
- No changes to functionality or setup steps.
- Removed the sample config/mcporter.json file.
v1.0.0
Initial release of the Windsor.ai skill.
- Connects to Windsor.ai MCP for natural language access to data from 325+ sources, including Facebook Ads, GA4, HubSpot, and Shopify.
- Provides detailed setup instructions for API key configuration and mcporter integration.
- Supports queries on campaign performance, spend analysis, sales pipeline, e-commerce, trend analysis, and cross-channel attribution.
- Includes templates for weekly, monthly, and client-ready performance reports.
- Offers troubleshooting steps for authentication and configuration issues.
元数据
常见问题
Windsor.ai Analytics 是什么?
Connect to Windsor.ai MCP for natural language access to 325+ data sources including Facebook Ads, GA4, HubSpot, Shopify, and more. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 558 次。
如何安装 Windsor.ai Analytics?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install windsor-ai」即可一键安装,无需额外配置。
Windsor.ai Analytics 是免费的吗?
是的,Windsor.ai Analytics 完全免费(开源免费),可自由下载、安装和使用。
Windsor.ai Analytics 支持哪些平台?
Windsor.ai Analytics 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 Windsor.ai Analytics?
由 Carlos Leon(@carlosarturoleon)开发并维护,当前版本 v1.0.3。
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