agentleFS
latour-ailatour-ai/skills/side-letter-term-extractor/SKILL.md

side-letter-term-extractor

Skill69 starsChanged 25 days agoNo licenceView on GitHub

Summarize a hedge fund side letter and extract its key commercial, operational, and legal terms from the GP/manager's perspective, producing a Word (.docx) review memo. Use whenever an IR, fundraising, COO, legal, or compliance professional at a hedge fund manager uploads, pastes, or references a side letter (or folder of side letters) and wants it summarized, reviewed, term-extracted, risk-flagged, or checked for MFN/precedent/operational issues. Trigger on "review this side letter", "summarize this side letter", "what did we promise this investor", "what are our obligations under this side letter", "does this trigger MFN", "flag the risky terms", "side letter review", or any request to understand what a side letter commits the firm to. Works on a single letter (default) or across funds, vintages, or vehicles. Manager-side screen — does NOT give legal advice or make legal conclusions. For inbound NDA review use pe-nda-review; for full contract review against a playbook use legal:review-contract.

1 other project uses a version of this, 1 of them edited.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

4 rules. About 0 are common, 4 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈4

    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.