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hypothesis-generation

Formulates evidence-bounded scientific questions, candidate hypotheses

by k-dense-aiFree

Launch
#1419in AI Skills
0In stores

Description

hypothesis-generation is an agent skill that turns an observation into a transparent set of candidate explanations and tests. It formulates…

Highlights

  • Candidate hypotheses and rival explanations
  • Causal versus associational claims
  • Discriminating predictions to test
  • Treats hypotheses as proposals
  • Strict rules for sensitive material

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hypothesis-generation FAQ

What does the skill produce?

A set of evidence-bounded questions, candidate hypotheses, rival explanations and predictions that could discriminate between them.

Is a hypothesis a finding?

No. The skill treats a hypothesis as a proposal to be challenged, not a finding, fact, diagnosis or recommendation.

What about sensitive data?

The skill asks you to confirm authorisation and the relevant policies, keep material local unless approved, and minimise what is shared.

When does it stop?

At human, animal, biosafety, dual-use, data-governance or regulatory gates.

How do I install it?

Run npx skills add https://github.com/k-dense-ai/scientific-agent-skills --skill hypothesis-generation.

Is it checked for security?

Its security audits show passes from Gen Agent Trust Hub, Socket and Snyk.

What are the best hypothesis-generation alternatives?

Popular alternatives to hypothesis-generation include council, gget and discernment-nudge. See all hypothesis-generation alternatives

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