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grant-proposal-assistant拨款提案助理

Agent Skill

grant-proposal-assistant 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

4,260

周安装

174

GitHub Stars

公开资料未说明

下载量

1,364
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:grant-proposal-assistant(拨款提案助理)
来源仓库:https://github.com/aipoch-ai/grant-proposal-assistant
安装命令:
openclaw skills install grant-proposal-assistant
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 grant-proposal-assistant

简介

协助撰写 NIH (R01/R21)、NSF 等资助申请提案。

  • 根据研究目标与资助机构要求生成内容。
  • 适用于科研团队准备正式申请材料。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • 安装前需核实是否涉及敏感学术数据访问。
  • grant-proposal-assistant 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
grant-proposal-assistant
description
Grant proposal writing assistant for NIH (R01/R21), NSF and other mainstream
version
1.0.0
category
Grant
tags
[]
author
AIPOCH
license
MIT
status
Draft
risk_level
Medium
skill_type
Tool/Script
owner
AIPOCH
reviewer
last_updated
2026-02-06

Grant Proposal Assistant

A comprehensive tool for writing competitive grant proposals targeting NIH (R01/R21), NSF, and other major funding agencies.

Capabilities

  1. Section Templates: Standard templates for all major grant sections
  2. Specific Aims Generator: Structured approach to crafting compelling Specific Aims pages
  3. Budget Justification Helper: Equipment, personnel, and other cost justifications
  4. Review & Critique: Self-assessment checklists for proposal quality

Usage

Command Line

# Generate Specific Aims template
python3 scripts/main.py --section aims --output my_aims.md

# Generate full proposal template
python3 scripts/main.py --section full --agency NIH --type R01 --output proposal.md

# Budget justification helper
python3 scripts/main.py --section budget --category personnel --output budget.md

# Review existing proposal
python3 scripts/main.py --review --input my_proposal.md

As Library

from scripts.main import GrantProposalAssistant

assistant = GrantProposalAssistant(agency="NIH", grant_type="R01")
template = assistant.generate_section("specific_aims")
budget = assistant.generate_budget_justification(category="equipment", items=[...])

Parameters

ParameterDescriptionOptions
--sectionSection to generateaims, significance, approach, budget, full
--agencyFunding agencyNIH, NSF, DOD, VA
--typeGrant mechanismR01, R21, R03, SBIR, STTR
--categoryBudget categorypersonnel, equipment, supplies, travel, other
--inputInput file for reviewPath to existing proposal
--outputOutput file pathPath for generated content

Technical Difficulty

Medium - Requires understanding of grant structure, funding agency requirements, and scientific writing best practices.

References

  • references/NIH_R01_template.md - NIH R01 full proposal template
  • references/NSF_template.md - NSF standard grant template
  • references/budget_templates.xlsx - Budget templates by category
  • references/review_checklist.md - Proposal quality checklist
  • references/specific_aims_examples.md - Example Specific Aims pages

Best Practices

  1. Start with Specific Aims: This 1-page summary drives the entire proposal
  2. Follow Page Limits: NIH R01 Research Strategy = 12 pages, Specific Aims = 1 page
  3. Use Significance-Innovation-Approach Structure: Standard for NIH applications
  4. Justify Everything: Every budget item needs a clear justification
  5. Review with Checklist: Use the built-in review tool before submission

Agency-Specific Notes

NIH R01/R21

  • Page limits strictly enforced
  • Significance, Innovation, Approach structure required
  • Vertebrate animals and human subjects sections if applicable
  • Resubmission strategy for A1 applications

NSF

  • Project Summary (1 page) and Project Description (15 pages)
  • Broader impacts criterion weighted equally with intellectual merit
  • Data management plan required
  • Facilities and resources section

Version

1.0.0 - Initial release with NIH and NSF support

Risk Assessment

Risk IndicatorAssessmentLevel
Code ExecutionPython/R scripts executed locallyMedium
Network AccessNo external API callsLow
File System AccessRead input files, write output filesMedium
Instruction TamperingStandard prompt guidelinesLow
Data ExposureOutput files saved to workspaceLow

Security Checklist

  • [ ] No hardcoded credentials or API keys
  • [ ] No unauthorized file system access (../)
  • [ ] Output does not expose sensitive information
  • [ ] Prompt injection protections in place
  • [ ] Input file paths validated (no ../ traversal)
  • [ ] Output directory restricted to workspace
  • [ ] Script execution in sandboxed environment
  • [ ] Error messages sanitized (no stack traces exposed)
  • [ ] Dependencies audited

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

94.86%
按下载量换算1,294

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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。

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