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BytesAgain β€Ί Skills β€Ί Aliyun Qwen Deep Research
πŸ¦€ ClawHub

Aliyun Qwen Deep Research

by @cinience

Use when a task needs Alibaba Cloud Model Studio Qwen Deep Research models to plan multi-step investigation, run iterative web research, and produce structur...

Versionv1.0.0
Downloads280
#devops#research#finance#legal#gaming
TERMINAL
clawhub install aliyun-qwen-deep-research

πŸ“– About This Skill

name: aliyun-qwen-deep-research description: Use when a task needs Alibaba Cloud Model Studio Qwen Deep Research models to plan multi-step investigation, run iterative web research, and produce structured reports with citations or evidence summaries. version: 1.0.0

Category: provider

Model Studio Qwen Deep Research

Validation

mkdir -p output/aliyun-qwen-deep-research
python -m py_compile skills/ai/research/aliyun-qwen-deep-research/scripts/prepare_deep_research_request.py && echo "py_compile_ok" > output/aliyun-qwen-deep-research/validate.txt

Pass criteria: command exits 0 and output/aliyun-qwen-deep-research/validate.txt is generated.

Output And Evidence

  • Save research goals, confirmation answers, normalized request payloads, and final report snapshots under output/aliyun-qwen-deep-research/.
  • Keep the exact model, region, and enable_feedback setting with each saved run.

    • Use this skill when the user wants a deep, multi-stage research workflow rather than a single chat completion.

    Critical model names

    Use one of these exact model strings:

  • qwen-deep-research
  • qwen-deep-research-2025-12-15

    • Selection guidance:

  • Use qwen-deep-research for the current mainline model.
  • Use qwen-deep-research-2025-12-15 when you need the snapshot with MCP tool-calling support and stronger reproducibility.

    • Prerequisites

  • Install SDK in a virtual environment:

    • python3 -m venv .venv
. .venv/bin/activate
python -m pip install dashscope

  • Set DASHSCOPE_API_KEY in your environment, or add dashscope_api_key to ~/.alibabacloud/credentials.
  • This model currently applies to the China mainland (Beijing) region and uses its own API shape rather than OpenAI-compatible mode.

    • Normalized interface (research.run)

    Request

  • topic (string, required)
  • model (string, optional): default qwen-deep-research
  • messages (array, optional)
  • enable_feedback (bool, optional): default true
  • stream (bool, optional): must be true
  • attachments (array, optional): image URLs and related context

    Response

  • status (string): stage status such as thinking, researching, or finished
  • text (string, optional): streamed content chunk
  • report (string, optional): final structured research report
  • raw (object, optional)

    • Quick start

    python skills/ai/research/aliyun-qwen-deep-research/scripts/prepare_deep_research_request.py \
  --topic "Compare cloud video generation model trade-offs for marketing automation." \
  --disable-feedback

    Operational guidance

  • Expect streaming output only.
  • Keep the initial topic concrete and bounded; broad topics can trigger long iterative search plans.
  • If the model asks follow-up questions and you already know the constraints, answer them explicitly to avoid wasted rounds.
  • Use the snapshot model when you need stable evaluation runs or MCP tool-calling support.

    • Output location

  • Default output: output/aliyun-qwen-deep-research/requests/
  • Override base dir with OUTPUT_DIR.

    • References

  • references/sources.md

    • πŸ’‘ Examples

    python skills/ai/research/aliyun-qwen-deep-research/scripts/prepare_deep_research_request.py \
  --topic "Compare cloud video generation model trade-offs for marketing automation." \
  --disable-feedback

    βš™οΈ Configuration

  • Install SDK in a virtual environment:

    • python3 -m venv .venv
. .venv/bin/activate
python -m pip install dashscope

  • Set DASHSCOPE_API_KEY in your environment, or add dashscope_api_key to ~/.alibabacloud/credentials.
  • This model currently applies to the China mainland (Beijing) region and uses its own API shape rather than OpenAI-compatible mode.

    • πŸ”’ Constraints

    mkdir -p output/aliyun-qwen-deep-research
python -m py_compile skills/ai/research/aliyun-qwen-deep-research/scripts/prepare_deep_research_request.py && echo "py_compile_ok" > output/aliyun-qwen-deep-research/validate.txt

    Pass criteria: command exits 0 and output/aliyun-qwen-deep-research/validate.txt is generated.

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