agentleFS
yogsoth-aiyogsoth-ai/paper-reading/skills/claim-label-prediction/SKILL.md

claim-label-prediction

Skill1 starsChanged 3 months agoApache-2.0View on GitHub

Judge a three-way SUPPORTS/REFUTES/NOINFO label for an atomic claim, based only on its selected rationale sentences (SciFact's final classification step). Use this after rationale-selection has produced the evidence sentences — this is the terminal step of the SciFact chain, producing the complete (claim, abstract, label, rationale) tuple.

The file

Files
SKILL.md

Claim Label Prediction

Three-way SUPPORTS/REFUTES/NOINFO label, grounded only in the selected rationale sentences — terminal step of the SciFact 3-chain.

Execution

Subagent — spawned via spawn-agent skill.

<!-- BEGIN available-tables (generated) -->

Available SOPs

SOPWhen to use
spawn-agentSpawn a customized CC subagent with full MCP tool access.
<!-- END available-tables (generated) -->

Download now (ZIP)

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.