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在 OpenClaw 中安装
/install ragflow-skill-python
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 be a straightforward client for a RAGFlow HTTP API. Before installing: (1) ensure RAGFLOW_API_URL points to a trusted RAGFlow server you control or trust — the scripts will send files and API requests there; (2) treat RAGFLOW_API_KEY as a secret (it is used in Authorization headers); (3) when uploading, only provide files you intend to send to that server; (4) the SKILL.md includes safe guardrails (explicit confirmation for deletes, separate parse start), but confirm the agent follows those in practice; (5) if you need higher assurance, review the omitted/truncated script contents (upload.py and others) locally to verify no additional network endpoints or hidden behavior are present.
功能分析
Type: OpenClaw Skill
Name: ragflow-skill-python
Version: 1.0.0
The skill bundle provides a standard set of Python scripts for managing RAGFlow datasets and documents via its HTTP API. The implementation uses Python's standard library (urllib, argparse) and follows a consistent, well-documented structure across files like scripts/datasets.py, scripts/upload.py, and scripts/search.py. No evidence of data exfiltration, malicious execution, or prompt injection was found; the scripts include appropriate guardrails and instructions for the AI agent to seek user confirmation for destructive actions.
能力标签
能力评估
Purpose & Capability
Name/description match the included scripts and required items: python3 and RAGFLOW_API_URL / RAGFLOW_API_KEY. All declared requirements are directly needed for calling the RAGFlow HTTP API and running the bundled Python scripts.
Instruction Scope
SKILL.md restricts the agent to using the bundled scripts and to prefer --json. Scripts only read the declared env vars and (where applicable) user-provided file paths for uploads; they perform HTTP calls to the configured RAGFlow API. Guardrails for deletes and parsing are explicit.
Install Mechanism
No install spec is provided (instruction-only installation). The skill bundles Python scripts to be executed by python3; there is no external download/install step that would fetch arbitrary code at runtime.
Credentials
Only RAGFLOW_API_URL and RAGFLOW_API_KEY are required and the primary credential is the API key. No unrelated secrets, cloud provider creds, or system-wide config paths are requested.
Persistence & Privilege
always is false and the skill does not request persistent system privileges or modify other skills. Autonomous invocation is allowed (platform default) but not combined with elevated privileges 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-python - 安装完成后，直接呼叫该 Skill 的名称或使用
/ragflow-skill-python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 the ragflow-dataset-ingest skill for RAGFlow dataset and document management.
- Supports creating, listing, inspecting, updating, and deleting RAGFlow datasets and documents.
- Provides commands to upload documents, start/stop parsing, check parsing status, and retrieve chunks.
- Allows listing of configured models.
- Enforces guardrails for safe deletions, explicit parsing actions, and precise error reporting.
- Standardizes output using exact field returns and table formatting for 3+ items.
元数据
常见问题
ragflow-skill-python 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 76 次。
如何安装 ragflow-skill-python？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install ragflow-skill-python」即可一键安装，无需额外配置。
ragflow-skill-python 是免费的吗？
是的，ragflow-skill-python 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
ragflow-skill-python 支持哪些平台？
ragflow-skill-python 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-python？
由 chang（@liberalchang）开发并维护，当前版本 v1.0.0。
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