📜 Brand Deal Contract Linter

The problem

Creators often sign brand deals with hidden clauses that strip their IP rights or lock them into unpaid exclusivity. Manually spotting predatory language in long agreements is slow and prone to human error.

What it does

• Scans contract text for perpetual usage rights and broad licensing terms.
• Identifies missing compensation for whitelisting and paid social boosting.
• Flags long exclusivity periods and auto-renewal traps.
• Detects full IP ownership assignments that should remain licenses.
• Highlights slow payment schedules and unlimited revision cycles.

Frameworks & tools

The skill uses a local Python engine to process .txt and .md files or standard input. It stores logic in a customizable JSON rule set.

Why this beats prompting it yourself

General LLMs often miss specific influencer industry pitfalls like dark posts or right of first refusal. This skill uses a codified rule set (BDC001-BDC010) to ensure consistent detection of specific creator-side risks that standard prompts overlook.

Use cases

• Reviewing initial sponsorship drafts for immediate red flags.
• Checking if a brand included a hidden morals clause or indemnity trap.
• Auditing multiple contracts at once via the CLI.
• Ensuring FTC disclosure requirements are explicitly mentioned.

Known limitations

Does not support .pdf or .docx files directly. Users must export contracts to plain text or markdown before scanning.