agentleFS
Sign inStart free
latour-ailatour-ai/skills/marketing-compliance-prescreen/SKILL.md

marketing-compliance-prescreen

Skill69 starsChanged 27 days agoNo licenceView on GitHub

Pre-screen fund marketing material against common SEC Marketing Rule pitfall categories — gross performance without net, cherry-picked track records, hypothetical/backtested performance without required context, testimonials and endorsements, unsubstantiated claims like "best-in-class", and missing disclosures — producing severity-ranked flags with the exact quoted language and what a compliance officer would likely require. Trigger on "pre-screen this deck for compliance", "check this pitch deck against the Marketing Rule", "compliance review of this one-pager", "anything in here compliance will flag?", "scrub this marketing material", "is this LP letter compliant", or when a user shares fund marketing material (pitch deck, one-pager, website copy, DDQ marketing sections, LP letter excerpts) and asks about compliance risk. This is a pre-screen to save compliance time — explicitly NOT legal advice and never a substitute for review by the firm's compliance officer or counsel. Do NOT use for creating marketing material — use the fund-marketing-one-pager skill. Do NOT use for drafting DDQ answers — use the ddq-response-drafter skill.

The file

We split this skill into the rules it gives an agent

5 rules. About 0 are common, 5 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈5

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

Check your setup, free