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    Sponsor Deliverables Evidence Gate

    1

    Build a requirement matrix, claim check, approval queue and delivery register from supplied information with evidence links, conflict handling and reusable quality gates.

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    See it in action

    You say

    Process the attached Q4 Brand Brief and the 'Summer_Vlog_Draft' script. Map the deliverables, check for claim evidence, and flag any missing requirements from the contract.

    Your agent does

    Evidence Ledger

    [REQ-01] Mention 20% discount code | Source: Brief p.2 | Status: Supported | Next: None [CLM-01] 'Only organic ingredients' | Source: Script 02:14 | Status: Conflict | Next: Verify with Lab PDF [GAP-01] Link in bio | Source: N/A | Status: Missing | Next: Add to caption draft

    What you get

    Map contract obligations to content drafts for verified compliance.Extract atomic facts to verify all marketing claims against source evidence.Identify specific gaps and conflicts in creative deliverables before delivery.Maintain a stable ID system for tracking multi-version approval queues.

    About this skill

    The problem

    Managing sponsor deliverables often leads to untraced claims, missed contract requirements, and messy approval chains. Manually verifying that every draft aligns with a brief is time-consuming and prone to human error.

    What it does

    • Generates a requirement matrix that maps contract obligations to specific content drafts.
    • Performs an atomic claim check to trace every factual statement back to source evidence.
    • Builds an approval queue and delivery register with stable IDs for version control.
    • Identifies conflicts and missing information without making assumptions or "hallucinating" facts.
    • Maintains a status vocabulary (e.g., supported, partial, conflict) to flag items needing human intervention.

    Why this beats prompting it yourself

    Basic prompts often guess missing details or ignore contradictions to provide a "complete" answer. This skill enforces strict quality gates that preserve uncertainty and mandate evidence-based tracing, ensuring the output is audit-ready rather than just a summary.

    Use cases

    • Verify influencer content drafts against brand safety guidelines and contract briefs.
    • Audit music production deliverables to ensure all licensing and credit requirements are met.
    • Maintain a traceability ledger for sponsored media campaigns across multiple platforms.
    • Track compliance for complex creative partnerships requiring multi-stakeholder approval.

    Known limitations

    Requires user-supplied material like briefs and drafts to function. It cannot autonomously contact third parties, access external accounts, or finalize legal agreements.

    How to install

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

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    Frequently Asked Questions