Grant Evidence Gap Reviewer

    by Mariusz Wrzeszczynski

    1

    Review grant application evidence in files the user supplies or is authorized to share.

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLIVVS CodeWWindsurfMManus+14 more

    See it in action

    You say

    Review my draft community grant narrative and budget spreadsheet against these foundation guidelines. Check if my 500-student impact claim is supported by the provided attendance report.

    Your agent does

    Decision: EVIDENCE GAPS FOUND. The 500-student claim is 'Reported, not evidenced' as the attendance report only confirms 300 prior participants. Budget Gap: Instructor hours in the spreadsheet do not cover the 20 weekly sessions described in the narrative. Missing: IRS determination letter and board list.

    What you get

    Identify unsupported claims in draft grant narratives.Reconcile budget line items with program activity descriptions.Check application materials against funder eligibility and rubric rules.Generate an evidence gap matrix for institutional review.

    About this skill

    The problem

    Grant writers often submit applications with unsupported narrative claims, missing attachments, or budget mismatches that lead to immediate rejection. Manually cross-referencing funder rubrics against draft materials is slow and prone to oversight.

    What it does

    • Analyzes draft narratives against funder criteria to find unsupported claims.
    • Maps budgets to narratives to catch unfunded activities or missing justifications.
    • Identifies missing required attachments, letters of support, and eligibility proof.
    • Generates a criteria-to-evidence matrix and an evidence gap register.
    • Drafts likely reviewer questions and human validation scenarios to stress-test the application.

    Why this beats prompting it yourself

    This skill enforces a strict evidence boundary, preventing the model from hallucinating or assuming data exists. It uses a structured 11-step audit workflow that ensures no eligibility rule or budget line is ignored, providing a level of rigor difficult to maintain with one-off prompts.

    Use cases

    • Reviewing nonprofit foundation applications for narrative-budget alignment.
    • Auditing research grant packs for collaborator commitment and institutional proof.
    • Performing gap analysis on community or education funding drafts.
    • Preparing for reviewer Q&A by identifying weak spots in impact evidence.

    Known limitations

    Cannot access live funder portals, institutional finance systems, or external donor registries. It does not write the full proposal or guarantee funding success.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Creator

    Mariusz Wrzeszczynski
    Mariusz Wrzeszczynski

    114 skills on Agensi

    Frequently Asked Questions

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