agentleFS
Sign inStart free
latour-ailatour-ai/skills/credit-agreement-covenant-extractor/SKILL.md

credit-agreement-covenant-extractor

Skill69 starsChanged 27 days agoNo licenceView on GitHub

Extract the complete covenant package from a credit agreement, indenture, or term sheet into a page-cited structured abstract — financial covenants and step-downs, negative covenant baskets, the full EBITDA definition with every add-back, and change-of-control and prepayment terms — then flag off-market or borrower-friendly provisions against standard formulations. For private credit and direct lending teams, leveraged finance analysts, distressed and special situations investors, and CLO managers. Trigger on phrases like "extract the covenants," "what are the covenants in this credit agreement," "read this indenture," "abstract this loan agreement," "what's the EBITDA definition," "how much RP capacity do they have," "is this doc off-market," "build a key terms sheet," or when the user uploads a credit agreement, indenture, note purchase agreement, unitranche facility, or term sheet. Do NOT use for checking a quarterly compliance certificate against terms already extracted — that is ongoing monitoring. Do NOT use for screening an M&A target's CIM — use the cim-first-pass skill. Do NOT use for a hedge fund side letter — use the side-letter-term-extractor skill. This is a document abstract, not legal advice.

The file

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    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