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fda-guideline-searchFDA 指南搜索

Agent Skill

fda-guideline-search 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

5,389

周安装

218

GitHub Stars

公开资料未说明

下载量

1,692
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:fda-guideline-search(FDA 指南搜索)
来源仓库:https://github.com/aipoch-ai/fda-guideline-search
安装命令:
openclaw skills install fda-guideline-search
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 fda-guideline-search

简介

fda-guideline-search 用于按治疗领域或主题搜索 FDA 行业指南与监管文件。

  • 适合医药研发、合规审查或法规咨询场景中快速获取官方指导材料。
  • 用户提出 FDA 相关问题时自动触发,返回相关文件链接与摘要信息。
  • 不涉及本地数据处理,但需确保查询目的合法合规,不用于规避监管要求。
  • 建议核对最新政策更新,因指南内容可能随时间调整而失效。

SKILL.md

name
fda-guideline-search
description
Search FDA industry guidelines by therapeutic area or topic.
version
1.0.0
category
Pharma
tags
[]
author
AIPOCH
license
MIT
status
Draft
risk_level
High
skill_type
Hybrid (Tool/Script + Network/API)
owner
AIPOCH
reviewer
last_updated
2026-02-06

FDA Guideline Search

Quickly search and retrieve FDA industry guidelines by therapeutic area.

Features

  • Search FDA guidelines by therapeutic area (oncology, cardiology, neurology, etc.)
  • Filter by document type (draft, final, ICH guidelines)
  • Download and cache guideline documents
  • Search within document content

Usage

Python Script

python scripts/main.py --area <therapeutic_area> [options]

Parameters

ParameterTypeDefaultRequiredDescription
--areastring-YesTherapeutic area (oncology, cardiology, rare-disease)
--typestringallNoDocument type (all, draft, final, ich)
--yearstring-NoFilter by year (e.g., 2023, 2020-2024)
--downloadflagfalseNoDownload PDF to local cache
--searchstring-NoSearch term within documents
--limitint20NoMax results (1-100)

Examples

# Search oncology guidelines
python scripts/main.py --area oncology

# Search for rare disease draft guidelines
python scripts/main.py --area "rare disease" --type draft

# Search with download
python scripts/main.py --area cardiology --download --limit 10

Technical Details

  • Source: FDA CDER/CBER Guidance Documents Database
  • API: FDA Open Data / Web scraping with rate limiting
  • Cache: Local PDF storage in references/cache/
  • Difficulty: Medium

Output Format

Results are returned as structured JSON:

{
  "query": {
    "area": "oncology",
    "type": "all",
    "limit": 20
  },
  "total_found": 45,
  "guidelines": [
    {
      "title": "Clinical Trial Endpoints for the Approval of Cancer Drugs...",
      "document_number": "FDA-2020-D-0623",
      "issue_date": "2023-03-15",
      "type": "Final",
      "therapeutic_area": "Oncology",
      "pdf_url": "https://www.fda.gov/.../guidance.pdf",
      "local_path": "references/cache/..."
    }
  ]
}

References

Limitations

  • Rate limited to 10 requests/minute to respect FDA servers
  • Some historical documents may not have digital PDFs
  • ICH guidelines require separate search scope

Risk Assessment

Risk IndicatorAssessmentLevel
Code ExecutionPython scripts with toolsHigh
Network AccessExternal API callsHigh
File System AccessRead/write dataMedium
Instruction TamperingStandard prompt guidelinesLow
Data ExposureData handled securelyMedium

Security Checklist

  • [ ] No hardcoded credentials or API keys
  • [ ] No unauthorized file system access (../)
  • [ ] Output does not expose sensitive information
  • [ ] Prompt injection protections in place
  • [ ] API requests use HTTPS only
  • [ ] Input validated against allowed patterns
  • [ ] API timeout and retry mechanisms implemented
  • [ ] Output directory restricted to workspace
  • [ ] Script execution in sandboxed environment
  • [ ] Error messages sanitized (no internal paths exposed)
  • [ ] Dependencies audited
  • [ ] No exposure of internal service architecture

Prerequisites

No additional Python packages required.

Evaluation Criteria

Success Metrics

  • [ ] Successfully executes main functionality
  • [ ] Output meets quality standards
  • [ ] Handles edge cases gracefully
  • [ ] Performance is acceptable

Test Cases

  1. Basic Functionality: Standard input → Expected output
  2. Edge Case: Invalid input → Graceful error handling
  3. Performance: Large dataset → Acceptable processing time

Lifecycle Status

  • Current Stage: Draft
  • Next Review Date: 2026-03-06
  • Known Issues: None
  • Planned Improvements:

- Performance optimization - Additional feature support

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

76.25%
按下载量换算1,290

安全审计

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权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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