ragflow-skill-python OpenClaw Skill

Use for RAGFlow dataset tasks: create, list, inspect, update, or delete datasets; upload, list, update, or delete documents; start or stop parsing; check par...

v1.0.0 Recently Updated Updated Today

Installation

clawhub install ragflow-skill-python

Requires npm i -g clawhub

View on ClawHub Download .zip

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RAGFlow Dataset And Retrieval

Use only the bundled scripts in scripts/.
Prefer --json so returned fields can be relayed exactly.
Follow reference.md for all user-facing output.

Use This Skill When

  • the user wants to create, list, inspect, update, or delete RAGFlow datasets
  • the user wants to upload, list, update, or delete documents in a dataset
  • the user wants to start parsing, stop parsing, or check parse progress
  • the user wants to retrieve chunks from one or more datasets
  • the user wants to list configured RAGFlow models

Core Workflow

  1. Resolve the target dataset or document IDs first.
  2. Run the matching script from scripts/.
  3. Use --json unless a script only needs a simple text response.
  4. Return API fields exactly; do not guess missing details.

Common commands:

python3 scripts/datasets.py list --json
python3 scripts/datasets.py info DATASET_ID --json
python3 scripts/datasets.py create "Example Dataset" --description "Quarterly reports" --json
python3 scripts/update_dataset.py DATASET_ID --name "Updated Dataset" --json
python3 scripts/upload.py DATASET_ID /path/to/file.pdf --json
python3 scripts/upload.py list DATASET_ID --json
python3 scripts/update_document.py DATASET_ID DOC_ID --name "Updated Document" --json
python3 scripts/parse.py DATASET_ID DOC_ID1 [DOC_ID2 ...] --json
python3 scripts/stop_parse_documents.py DATASET_ID DOC_ID1 [DOC_ID2 ...] --json
python3 scripts/parse_status.py DATASET_ID --json
python3 scripts/search.py "query" --json
python3 scripts/search.py "query" DATASET_ID --json
python3 scripts/search.py --dataset-ids DATASET_ID1,DATASET_ID2 --doc-ids DOC_ID1,DOC_ID2 "query" --json
python3 scripts/search.py --retrieval-test --kb-id DATASET_ID "query" --json
python3 scripts/list_models.py --json

Guardrails

  • For any delete action, list the exact items first and require explicit user confirmation before executing.
  • Delete only by explicit dataset IDs or document IDs. If the user gives names or fuzzy descriptions, resolve IDs first.
  • Upload does not start parsing. Start parsing only when the user asks for it.
  • parse.py returns immediately after the start request; use parse_status.py for progress.
  • For progress requests, use parse_status.py on the most specific scope available:
    • dataset specified: inspect that dataset
    • document IDs specified: pass --doc-ids
    • no dataset specified: list datasets first, then aggregate status across datasets
  • If a parse status result includes progress_msg, surface it directly. For FAIL, treat it as the primary error detail.
  • Use --retrieval-test only for single-dataset debugging or when the user explicitly asks for that endpoint.

Output Rules

  • Follow reference.md.
  • Use tables for 3+ items when possible.
  • Preserve api_error, error, message, and related fields exactly as returned.
  • Never fabricate progress percentages or inferred causes.

Statistics

Downloads 19
Stars 0
Current installs 0
All-time installs 0
Versions 1
Comments 0
Created Apr 18, 2026
Updated Apr 18, 2026

Latest Changes

v1.0.0 · Apr 18, 2026

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.

Quick Install

clawhub install ragflow-skill-python

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