grant-mock-reviewerSimulates NIH study section peer review for grant proposals. Triggers when user wants mock review, critique, or evaluation of a grant proposal before submiss...
Install via ClawdBot CLI:
clawdbot install aipoch-ai/grant-mock-reviewerGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://grants.nih.gov/grants/peer-review-guidelines-general.htmAudited Apr 16, 2026 · audit v1.0
Generated May 10, 2026
A researcher drafts an R01 grant proposal and uses the skill to receive a mock NIH study section review. The skill scores the proposal across all five criteria, identifies weaknesses like insufficient preliminary data or overambitious aims, and provides actionable revision recommendations to strengthen the application before formal submission.
A university's grant writing office runs a workshop where participants submit proposal drafts. The skill generates structured critiques for each participant, enabling personalized feedback on significance, approach, and innovation. Instructors use the output to guide discussions on improving grant competitiveness.
A consortium of researchers from different institutions develops a collaborative R01 proposal. They use the skill to review individual aims and the full proposal, ensuring consistency and addressing weaknesses in investigator expertise or environment across sites before submission.
A principal investigator revises a previously reviewed proposal and uses the skill's comparison mode to evaluate changes. The skill outputs updated scores and highlights improvements in approach or innovation, helping the PI assess whether revisions address prior critiques effectively.
A senior mentor trains junior faculty by having them submit mock proposals. The skill provides NIH-style critiques, which the mentor uses to discuss scoring rationale and revision strategies, accelerating the junior faculty's understanding of what reviewers expect.
Universities or research institutions subscribe to the skill for their faculty, paying an annual fee per user. This provides unlimited proposal reviews and integration with institutional grant support workflows.
Basic mock review with scores and summary is free, but detailed critique with revision recommendations and comparison mode requires a monthly or per-review premium tier. This attracts individual researchers and converts heavy users.
Grant management software (e.g., InfoReady, Cayuse) integrates the skill via API, offering it as an add-on module. Revenue comes from API usage fees or revenue sharing with the platform provider.
💬 Integration Tip
Integrate the CLI tool into your existing grant submission pipeline by scripting file input and output; for automated batch reviews, use the Python library within a Jupyter notebook or serverless function.
Scored Apr 19, 2026
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