grant-mock-reviewer
Simulates NIH study section peer review for grant proposals. Triggers when user wants mock review, critique, or evaluation of a grant proposal before submission. Generates structured critique using official NIH scoring rubric (1-9 scale), identifies weaknesses, provides actionable revision recommendations, and produces a comprehensive review summary similar to actual NIH Summary Statement.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/aipoch-ai/grant-mock-reviewerGrant Mock Reviewer
A simulated NIH study section reviewer that provides structured, rigorous critique of grant proposals using the official NIH scoring criteria and methodology.
Capabilities
- NIH Scoring Rubric Application: Official 1-9 scale scoring across all 5 criteria
- Weakness Identification: Systematic detection of common proposal flaws
- Critique Generation: Structured written critiques for each review criterion
- Summary Statement: Complete mock Summary Statement output
- Revision Guidance: Prioritized, actionable recommendations for improvement
Usage
Command Line
# Full mock review with Summary Statement
python3 scripts/main.py --input proposal.pdf --format pdf --output review.md
# Review Specific Aims only
python3 scripts/main.py --input aims.pdf --section aims --output aims_review.md
# Targeted review (specific criterion focus)
python3 scripts/main.py --input proposal.pdf --focus approach --output approach_critique.md
# Generate NIH-style scores only
python3 scripts/main.py --input proposal.pdf --scores-only --output scores.json
# Compare before/after revision
python3 scripts/main.py --original original.pdf --revised revised.pdf --compare
As Library
from scripts.main import GrantMockReviewer
reviewer = GrantMockReviewer()
result = reviewer.review(
proposal_text=proposal_content,
grant_type="R01",
section="full"
)
print(result.summary_statement)
print(result.scores)
Parameters
| Parameter | Type | Default | Required | Description |
|---|---|---|---|---|
--input | string | - | Yes | Path to proposal file (PDF, DOCX, TXT, MD) |
--format | string | auto | No | Input file format (pdf, docx, txt, md) |
--section | string | full | No | Section to review (full, aims, significance, innovation, approach) |
--grant-type | string | R01 | No | Grant mechanism (R01, R21, R03, K99, F32) |
--focus | string | - | No | Focus on specific criterion (significance, investigator, innovation, approach, environment) |
--scores-only | flag | false | No | Output scores only (JSON) |
--output, -o | string | stdout | No | Output file path |
--original | string | - | No | Original proposal for comparison |
--revised | string | - | No | Revised proposal for comparison |
--compare | flag | false | No | Enable comparison mode |
NIH Scoring System
Overall Impact Score (1-9)
The single most important score reflecting the likelihood of the project to exert a sustained, powerful influence on the research field.
| Score | Descriptor | Likelihood of Funding |
|---|---|---|
| 1 | Exceptional | Very High |
| 2 | Outstanding | High |
| 3 | Excellent | Good |
| 4 | Very Good | Moderate |
| 5 | Good | Low-Moderate |
| 6 | Satisfactory | Low |
| 7 | Fair | Very Low |
| 8 | Marginal | Unlikely |
| 9 | Poor | Not Fundable |
Individual Criteria (1-9 each)
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-aipoch-ai-grant-mock-reviewer": {
"enabled": true,
"auto_update": true
}
}
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