/install grant-proposal-assistant
Grant Proposal Assistant
A comprehensive tool for writing competitive grant proposals targeting NIH (R01/R21), NSF, and other major funding agencies.
Capabilities
- Section Templates: Standard templates for all major grant sections
- Specific Aims Generator: Structured approach to crafting compelling Specific Aims pages
- Budget Justification Helper: Equipment, personnel, and other cost justifications
- 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
| Parameter | Description | Options |
|---|---|---|
--section |
Section to generate | aims, significance, approach, budget, full |
--agency |
Funding agency | NIH, NSF, DOD, VA |
--type |
Grant mechanism | R01, R21, R03, SBIR, STTR |
--category |
Budget category | personnel, equipment, supplies, travel, other |
--input |
Input file for review | Path to existing proposal |
--output |
Output file path | Path 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 templatereferences/NSF_template.md- NSF standard grant templatereferences/budget_templates.xlsx- Budget templates by categoryreferences/review_checklist.md- Proposal quality checklistreferences/specific_aims_examples.md- Example Specific Aims pages
Best Practices
- Start with Specific Aims: This 1-page summary drives the entire proposal
- Follow Page Limits: NIH R01 Research Strategy = 12 pages, Specific Aims = 1 page
- Use Significance-Innovation-Approach Structure: Standard for NIH applications
- Justify Everything: Every budget item needs a clear justification
- 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 Indicator | Assessment | Level |
|---|---|---|
| Code Execution | Python/R scripts executed locally | Medium |
| Network Access | No external API calls | Low |
| File System Access | Read input files, write output files | Medium |
| Instruction Tampering | Standard prompt guidelines | Low |
| Data Exposure | Output files saved to workspace | Low |
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
- Basic Functionality: Standard input → Expected output
- Edge Case: Invalid input → Graceful error handling
- 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
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install grant-proposal-assistant - After installation, invoke the skill by name or use
/grant-proposal-assistant - Provide required inputs per the skill's parameter spec and get structured output
What is Grant Proposal Assistant?
Grant proposal writing assistant for NIH (R01/R21), NSF and other mainstream funding applications. Triggers when user needs help writing specific aims, resea... It is an AI Agent Skill for Claude Code / OpenClaw, with 138 downloads so far.
How do I install Grant Proposal Assistant?
Run "/install grant-proposal-assistant" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Grant Proposal Assistant free?
Yes, Grant Proposal Assistant is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Grant Proposal Assistant support?
Grant Proposal Assistant is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Grant Proposal Assistant?
It is built and maintained by AIpoch (@aipoch-ai); the current version is v0.1.0.