agentleFS
AnthropicKnown publisheranthropics/life-sciences/binder-gauntlet/SKILL.md

binder-gauntlet

Skill644 starsChanged 18 days agoNo licenceView on GitHub

Validation and developability gauntlet for de novo designed protein binders and miniproteins against any protein target. Use this skill when designed binders are scored only by structure-predictor confidence (ipSAE, ipTM, pAE) and you must validate binding with independent re-prediction, pose agreement (DockQ) and controls, profile developability and sequence liabilities, check specificity and cross-reactivity, and write a validation dossier before you rank, filter or finalise binder designs, and at every selection round of a design campaign to steer it. Use when a user says "validate these binder designs", "run the gauntlet on these", "check developability" or "sequence liabilities", asks which designs should go to the lab, or asks for controls, a specificity panel or a validation dossier for designed binders.

The file

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    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.