DrugFlow工作流

drugflow-skills

by ashipiling

Multi-flow API workflow skill for this DrugFlow Django repository. Use when an agent needs executable end-to-end API procedures such as login/register, workspace and balance retrieval, job listing, virtual screening, docking, ADMET, rescoring, structure extraction, and molecular factory.

4.5k效率与工作流未扫描2026年3月23日

安装

claude skill add --url github.com/openclaw/skills/tree/main/skills/ashipiling/drugflow-api

文档

DrugFlow Skills

Route requests to the correct DrugFlow API flow and execute with minimal ambiguity.

Flow Selection

  1. Read references/index.md first.
  2. Match user intent to one flow.
  3. Load only that flow's reference files.
  4. Prefer script execution from scripts/<flow>/ when available.

Current Flows

  1. Common APIs: reusable auth/workspace/balance/jobs APIs available.
  2. Virtual screening: complete flow available.
  3. Docking: complete flow available.
  4. ADMET: complete flow available.
  5. Rescoring: complete flow available.
  6. Structure extract: complete flow available (img2mol backend type).
  7. Molecular factory: complete flow available (with atom-selection helpers).

Common APIs Workflow

  1. Read references/flows/common-apis/call-flow.md.
  2. Read references/flows/common-apis/payloads.md.
  3. Reuse scripts/common/drugflow_api.py for:
  • signin
  • signup
  • list_workspaces / create_workspace / ensure_workspace
  • get_balance
  • list_jobs
  1. Use scripts/common/test_common_apis.py for direct smoke tests.

Virtual Screening Workflow

  1. Read references/flows/virtual-screening/call-flow.md.
  2. Read references/flows/virtual-screening/payloads.md.
  3. Use scripts/virtual-screening/run_vs_flow.py for end-to-end execution.
  4. Always include ws_id for /api/jobs list/detail.
  5. For /api/jobs create, pass name, type, args (JSON string), ws_id; in non-private mode include expect_tokens and avail_tokens.

Docking Workflow

  1. Read references/flows/docking/call-flow.md.
  2. Read references/flows/docking/payloads.md.
  3. Use scripts/docking/run_docking_flow.py for end-to-end execution.
  4. Create docking jobs through POST /api/jobs with multipart fields pdb, ligands, pdb_content, and args.
  5. Site-driven docking box note: when --site is provided but center/size/radius are omitted, the script auto-derives the docking box from that site in local PDB.
  6. Always include ws_id on job list/detail requests and pass expect_tokens/avail_tokens in non-private mode.

ADMET Workflow

  1. Read references/flows/admet/call-flow.md.
  2. Read references/flows/admet/payloads.md.
  3. Use scripts/admet/run_admet_flow.py for end-to-end execution.
  4. ADMET job type is fixed to admet-dl.
  5. Support two input modes:
  • direct smiles list
  • dataset mode via dataset_id + smiles_col
  1. For /api/jobs create, pass name, type=admet-dl, args, ws_id, and in non-private mode expect_tokens/avail_tokens.

Rescoring Workflow

  1. Read references/flows/rescoring/call-flow.md.
  2. Read references/flows/rescoring/payloads.md.
  3. Use scripts/rescoring/run_rescoring_flow.py for end-to-end execution.
  4. Create rescoring jobs through POST /api/jobs with:
  • type=rescoring
  • form fields pdb, ligands, smiles_col
  • args.mode=semi and args.rescoring_functions
  1. Script enforces input files: --pdb-file must be .pdb, --ligands-file must be .sdf.
  2. Always include ws_id; in non-private mode include expect_tokens and avail_tokens.

Structure Extract Workflow

  1. Read references/flows/structure-extract/call-flow.md.
  2. Read references/flows/structure-extract/payloads.md.
  3. Use scripts/structure-extract/run_structure_extract_flow.py for end-to-end execution.
  4. User-facing "结构提取" maps to backend job type=img2mol.
  5. For create, pass name, type=img2mol, args (dataset_id, page_list), ws_id, and in non-private mode expect_tokens/avail_tokens.
  6. dataset_id must be img2mol-compatible and include extras.osskey.

Molecular Factory Workflow

  1. Read references/flows/molecular-factory/call-flow.md.
  2. Read references/flows/molecular-factory/payloads.md.
  3. Use scripts/molecular-factory/run_molecular_factory_flow.py:
  • atom-info
  • extract-partial
  • draw-atom-index
  • create-job
  1. Default to non-docking molecular factory unless user explicitly asks for docking:
  • args.need_docking=false
  • args.pdb_use.*=false
  1. Default generation models:
  • args.molgen_algos=["Frag-GPT","REINVENT"]
  1. Use helper APIs first to confirm selected_atoms/start_atoms, then submit molecular_factory job.
  2. Always pass ws_id; in non-private mode include expect_tokens and avail_tokens.

Output Contract

  1. Return method + endpoint + required parameters for each step.
  2. Return key ids and state: ws_id, job_id, state, result count.
  3. When running scripts, return command + important outputs.

Expansion Rules

  1. Add new flow docs under references/flows/<flow>/ with call-flow.md and payloads.md.
  2. Add runnable scripts under scripts/<flow>/.
  3. Update references/index.md and this file's Current Flows section.

References

  1. references/index.md
  2. references/flows/common-apis/call-flow.md
  3. references/flows/common-apis/payloads.md
  4. references/flows/virtual-screening/call-flow.md
  5. references/flows/virtual-screening/payloads.md
  6. references/flows/docking/call-flow.md
  7. references/flows/docking/payloads.md
  8. references/flows/admet/call-flow.md
  9. references/flows/admet/payloads.md
  10. references/flows/molecular-factory/call-flow.md
  11. references/flows/molecular-factory/payloads.md
  12. references/flows/rescoring/call-flow.md
  13. references/flows/rescoring/payloads.md
  14. references/flows/structure-extract/call-flow.md
  15. references/flows/structure-extract/payloads.md

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