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Agent Skill · 效率

drugflow-api(drugflow API 文档)

用于辅助 API 设计、接口文档、请求响应结构和服务集成说明。它适合让 Agent 梳理 endpoint、生成 OpenAPI 草稿、检查字段命名、整理错误码或辅助前后端联调。使用时需要确认真实业务语义、鉴权方式、分页和错误处理规则;涉及生成接口文档时,应避免凭空补字段,最好从现有代码、schema 或接口样例中提取事实。

drugflow-api 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在效率类的 21,003 个 Skill 里排第 9,669。

总安装 5,816周安装 233GitHub Stars 公开资料未说明下载 1,883核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.2

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:drugflow-api(drugflow API 文档)
来源仓库:https://github.com/ashipiling/drugflow-api
安装命令:
openclaw skills install drugflow-api
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install drugflow-api

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

drugflow-api 辅助梳理 Django 项目的多流 API 工作流程与端到端接口设计。适用于登录/注册等核心流程的 endpoint 规划与 OpenAPI 文档生成。需结合真实业务语义定义字段,避免虚构未实现的鉴权或分页逻辑。

安装命令为 openclaw skills install drugflow-api,仅限 OpenClaw 环境。生成接口时应以现有代码或 schema 为准,禁止凭空添加字段。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install drugflow-api;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

drugflow-api 怎么安装?

在终端执行 openclaw skills install drugflow-api。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

drugflow-api 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

drugflow-api 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

drugflow-api 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

drugflow-api 用的人多吗?

公开数据是累计安装 5,816 次,近一周安装 233 次,下载 1,883 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

drugflow-api 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
drugflow-api

drugflow API 文档 · 本页

5,816—需要联网MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
drugflow-skills
description
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.

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

平台分布

OpenClaw

89.91%
按下载量换算1,693

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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