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/use-jev

Use Jev, a general classifier, for typed choices, scores, and yes/no probabilities in software.

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$ npx -y skills add openhands/extensions --skill use-jev --agent claude-code

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How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/use-jev

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Use Jev, a general classifier, for typed choices, scores, and yes/no probabilities in software.

SKILL.md

use-jev.SKILL.md
name: use-jev
description: Use Jev, a general classifier, for typed choices, scores, and yes/no probabilities in software.
triggers:
- jev

[Jev](https://typesafe.ai) is a newly released general classifier. Give it text or application state and typed questions; it returns decisions and probabilities your code can use for routing, ranking, extraction, or verification.

Read the upstream [llms.txt](https://docs.typesafe.ai/llms.txt) to find current documentation, then follow the pages relevant to the task:

  • [Use cases](https://docs.typesafe.ai/concepts/use-case-map.md): explore applications;

see worked examples for [function calling](https://docs.typesafe.ai/cookbooks/function_calling.md), [reranking](https://docs.typesafe.ai/cookbooks/rerank_typesafe.md), and [citation checks](https://docs.typesafe.ai/cookbooks/citation_check.md).

  • [Best practices](https://docs.typesafe.ai/concepts/how-to-build-with-system-one.md):

provide relevant state, ask focused questions, define clear criteria, and batch independent questions. Keep workflow logic in code.

  • [Confidence](https://docs.typesafe.ai/confidence.md): use uncertainty to decide

when to escalate, and validate thresholds on representative data.

  • [Python SDK](https://docs.typesafe.ai/sdk/python.md),

[JavaScript SDK](https://docs.typesafe.ai/sdk/javascript.md), or [HTTP API](https://docs.typesafe.ai/api.md): read before integrating.

Choice, Score, and Noul

| Primitive | Example use | Result | | --- | --- | --- | | [Choice](https://docs.typesafe.ai/primitives/choice.md) | Route a support request to a team | One option, option probabilities, and confidence | | [Score](https://docs.typesafe.ai/primitives/score.md) | Rate a bug's impact | Probability-weighted position on ordered levels, plus confidence | | [Noul](https://docs.typesafe.ai/primitives/noul.md) | Check whether a refund is requested | Probability of yes; 0.5 means uncertainty, not medium intensity |

Install `typesafe-sdk` and check that `JEV_API_KEY` is set in the environment, otherwise ask the user to provide it. This Python example asks one question of each type in a single call:

import os

from typesafe_sdk import Choice, Noul, Score, TypeSafeClient

with TypeSafeClient(api_key=os.environ["JEV_API_KEY"]) as client:
    result = client.system_one(
        state={"ticket": "PDF export fails, but CSV works. Please refund this month."},
        questions={
            "team": Choice(
                instructions="Which team should handle the main issue in the ticket?",
                criteria={"billing": "Charges and payments",
                          "technical": "Broken product features", "other": "Neither"},
            ),
            "impact": Score(
                instructions="How much does the reported bug affect functionality?",
                criteria=["Cosmetic only", "Feature broken; workaround available",
                          "Work blocked; no workaround available"],
            ),
            "refund": Noul(instructions="Does the ticket explicitly request a refund?"),
        },
    )

print(result.choices["team"].choice)
print(result.scores["impact"].score)
print(result.nouls["refund"].noul)
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