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在 OpenClaw 中安装
/install ragflow-skill-python0418
功能描述
Use for RAGFlow dataset tasks: create, list, inspect, update, or delete datasets; upload, list, update, or delete documents; start or stop parsing; check par...
安全使用建议
This skill appears to do what it claims. Before installing:
- Only set RAGFLOW_API_URL to a trusted RAGFlow server; the provided RAGFLOW_API_KEY will be sent as a Bearer token to that URL. Treat that key as sensitive.
- Prefer creating a scoped API key with least privilege (e.g., read-only for listing/search, restricted for delete/upload) rather than using a highly privileged account.
- The SKILL.md requires explicit user confirmation before deletes, but the delete scripts only accept --ids (no interactive prompt). Ensure your agent enforces confirmation before invoking delete commands.
- Review any included agent config (e.g., agents/openai.yaml) before use to confirm no unexpected autonomous workflows are configured.
- If you need higher assurance, run the bundled scripts manually in a controlled environment first to observe their behavior and ensure the API URL is correct.
功能分析
Type: OpenClaw Skill
Name: ragflow-skill-python0418
Version: 1.0.0
The skill bundle is a well-structured integration for the RAGFlow API, providing scripts for dataset management, document uploading, parsing, and retrieval. The Python scripts (e.g., `datasets.py`, `upload.py`, `search.py`) use standard libraries like `urllib` for API communication and follow secure practices by handling credentials via environment variables. The `SKILL.md` file includes proactive security guardrails, such as requiring explicit user confirmation before any deletion operations and forbidding the fabrication of API responses.
能力标签
能力评估
Purpose & Capability
The skill name/description (RAGFlow dataset tasks) matches the bundled Python scripts and the two environment variables (RAGFLOW_API_URL, RAGFLOW_API_KEY). The required binary (python3) is appropriate. All scripts make HTTP calls to the provided base URL and require the RAGFlow API key for Authorization, which is expected for this purpose.
Instruction Scope
SKILL.md restricts the agent to use the bundled scripts in scripts/ and documents expected CLI commands and guardrails (e.g., require explicit confirmation before deletes). The scripts themselves require explicit IDs for delete operations but do not perform interactive confirmation; the SKILL.md relies on the agent to enforce interactive confirmation. This is a design/operational note (agent must follow the guardrail) rather than evidence of malicious behavior.
Install Mechanism
No install spec is provided (instruction-only / scripts bundled with the skill). There are no downloads or archive extracts. Risk from installation is minimal.
Credentials
Only RAGFLOW_API_URL and RAGFLOW_API_KEY are required; the primaryEnv is RAGFLOW_API_KEY. These variables are necessary and proportionate for an HTTP client interacting with a RAGFlow API. The code does not request unrelated secrets or filesystem config paths.
Persistence & Privilege
The skill is not always-enabled and does not request elevated platform privileges. It does not modify other skills or system-wide agent settings. Autonomous invocation is allowed (platform default) but is not combined with other privilege escalations here.
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 ragflow-skill-python0418 - 安装完成后，直接呼叫该 Skill 的名称或使用
/ragflow-skill-python0418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 ragflow-dataset-ingest skill:
- Enables creation, listing, inspection, updating, and deletion of RAGFlow datasets.
- Supports uploading, listing, updating, and deleting documents within datasets.
- Provides commands for parsing management: start, stop, and check parse progress or status.
- Allows chunk retrieval from datasets and listing of configured RAGFlow models.
- Includes guardrails for safe deletion and parsing operations, with strict adherence to IDs and output fields.
- Enforces output formatting and error handling as per reference guidelines.
元数据
常见问题
ragflow-skill-python0418 是什么？
Use for RAGFlow dataset tasks: create, list, inspect, update, or delete datasets; upload, list, update, or delete documents; start or stop parsing; check par... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 71 次。
如何安装 ragflow-skill-python0418？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install ragflow-skill-python0418」即可一键安装，无需额外配置。
ragflow-skill-python0418 是免费的吗？
是的，ragflow-skill-python0418 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
ragflow-skill-python0418 支持哪些平台？
ragflow-skill-python0418 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 ragflow-skill-python0418？
由 chang（@liberalchang）开发并维护，当前版本 v1.0.0。
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