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版本数
在 OpenClaw 中安装
/install raccoon-data-analysis
功能描述
当用户需要使用小浣熊(Raccoon)进行数据分析会话管理、文件上传下载、数据可视化、数据分析交互时使用此技能。触发词包括"小浣熊数据分析"、"Raccoon数据分析"、"数据分析会话"。
安全使用建议
This skill is internally consistent: it will read files you explicitly point it at and upload them to the configured RACCOON_API_HOST using the RACCOON_API_TOKEN. Before using it: (1) confirm you have permission to upload the files and they contain no sensitive information, (2) verify and trust the RACCOON_API_HOST endpoint (the SKILL suggests https://xiaohuanxiong.com but the host is configurable), (3) keep your token secret and rotate it if exposed, (4) run the provided scripts from the skill directory as instructed (avoid running broad filesystem searches), and (5) review scripts/main.py yourself if you want to inspect behavior — the script performs uploads, SSE streaming, and downloads but contains no opaque/obfuscated code. If any of these checks fail or you do not trust the remote service, do not use the skill.
功能分析
Type: OpenClaw Skill
Name: raccoon-data-analysis
Version: 1.0.3
The skill is designed to perform remote data analysis by uploading local user files to a third-party API (xiaohuanxiong.com). While this behavior is explicitly documented and aligned with its stated purpose, the core functionality involves data exfiltration (uploading local files) and the execution of downloaded content via system openers (subprocess.run in scripts/main.py). Furthermore, SKILL.md contains high-priority instructions that explicitly forbid the agent from performing any local analysis, mandating that all user data be sent to the remote service, which increases the risk profile of the bundle.
能力评估
Purpose & Capability
Name/description describe a remote-data-analysis skill. The skill requires python3 and two env vars (RACCOON_API_HOST, RACCOON_API_TOKEN) which are exactly what a remote-API client needs. Included scripts implement session creation, file upload, SSE-based chat, and artifact download — all coherent with the stated purpose.
Instruction Scope
SKILL.md explicitly restricts behavior to remote API use (forbids local data analysis) and instructs the agent to run the provided scripts; the instructions require absolute file paths for uploads and ask for explicit user consent before uploading. There is no instruction to read unrelated files, scan the filesystem, or exfiltrate unrelated secrets.
Install Mechanism
There is no install spec (instruction-only runtime) and the included Python script uses standard requests. No remote downloads or archive extraction occur during install. Risk from installation mechanisms is low.
Credentials
The skill asks only for RACCOON_API_HOST and RACCOON_API_TOKEN (primary credential). These are necessary and proportionate for authenticating to the remote API. The scripts do not request other unrelated credentials or config paths.
Persistence & Privilege
always is false and the skill does not request persistent system-wide privileges. It writes downloaded artifacts to ./raccoon/dataanalysis (per its purpose) and does not modify other skills or system-wide agent 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 raccoon-data-analysis - 安装完成后，直接呼叫该 Skill 的名称或使用
/raccoon-data-analysis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
Version 1.0.3
- 简化并优化 SKILL 描述与触发词，突出“小浣熊数据分析”核心用途。
- 删除了冗长的详细说明与例子，结构更紧凑，重点突出行为规则和要求。
- 保留核心规则、隐私保护与错误处理流程，内容更聚焦、易查阅。
- 使用场景、调用流程、注意事项等文档内容未做实质变更。
- 仅文档/说明调整，无脚本或功能改动。
v1.0.1
- Changed script organization: moved main.py to scripts/main.py for a clearer project structure.
- Removed the old main.py from the project root. No functional changes.
v1.0.0
Initial release of the raccoon-dataanalysis skill:
- Provides remote code interpretation and data visualization via the SenseTime-powered 小浣熊 (Raccoon) API.
- Users can upload Excel, CSV, and similar files for AI-driven analysis, chart generation, and automated insights.
- All analysis is performed remotely; local data analysis or visualization is strictly prohibited.
- Multi-turn data analysis sessions supported, including file handling and result downloading.
- Emphasizes security: requires explicit user consent, encrypted file transfer, and strict environment variable checks.
- Detailed privacy, error handling, and workflow guidelines included.
元数据
常见问题
Raccoon Data Analysis 是什么？
当用户需要使用小浣熊(Raccoon)进行数据分析会话管理、文件上传下载、数据可视化、数据分析交互时使用此技能。触发词包括"小浣熊数据分析"、"Raccoon数据分析"、"数据分析会话"。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 554 次。
如何安装 Raccoon Data Analysis？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install raccoon-data-analysis」即可一键安装，无需额外配置。
Raccoon Data Analysis 是免费的吗？
是的，Raccoon Data Analysis 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Raccoon Data Analysis 支持哪些平台？
Raccoon Data Analysis 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 Raccoon Data Analysis？
由 商汤小浣熊（@raccoon-office）开发并维护，当前版本 v1.0.3。
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