model-onboarding
Onboard a new model generation or sibling into oh-my-hermes: probe router recognition,…
[omh] User named Jev for yes/no or pick-one probabilities: Jev ask: typed yes/no, pick-one, or scored questions to Jev with your own key; returns probabilities, never prose. Use when the user says: jev-ask, ask jev, jev question, jev score.
$ npx -y skills add rlaope/oh-my-hermes --skill omh-jev-ask --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/omh-jev-askContext preview
The summary Claude sees to decide when to auto-load this skill.
[omh] User named Jev for yes/no or pick-one probabilities: Jev ask: typed yes/no, pick-one, or scored questions to Jev with your own key; returns probabilities, never prose. Use when the user says: jev-ask, ask jev, jev question, jev score.
name: "omh-jev-ask"
description: "[omh] User named Jev for yes/no or pick-one probabilities: Jev ask: typed yes/no, pick-one, or scored questions to Jev with your own key; returns probabilities, never prose. Use when the user says: jev-ask, ask jev, jev question, jev score."
metadata:
hermes:
tags: [workflow, oh-my-hermes, gateway]
category: gateway
phase: jev-ask
role: guide
quality_tier: evidence-gated
requires_tools: [omh_jev_ask]Required: text to judge and independent typed questions. Output: Jev's probabilities, served model, and cost, or a non-answer status.
Read `omh-routing/references/jev-rail.md` before the first ask: consent, what leaves the machine, limits, and non-answer statuses. Prepared OMH routing is not execution or approval. Shared product, routing, compatibility, and evidence rules: `omh-routing/references/skill-common-rail.md`.
Contract: `references/full-contract.md`.
1. Check the rail: the user asked for Jev in this turn, and say in one line what `state` will carry. 2. Write independent, self-contained questions over one `state`: Noul with `criteria.true`/`criteria.false`, Choice with an `unknown` option, Score with ordered levels. 3. Call `omh_jev_ask` with `questions` (default model `jev-latest`; pin `jev-1.13.0` when a threshold was tuned). 4. Report each number verbatim with the served model, attempts, and `cost_usd` plus `cost_source`; 0.4 to 0.6 is uncertain.
advisory local context
English | 한국어 | 日本語 | 中文 Install once. Keep Hermes. Add a stronger operating layer. Planning, research, creation, coding handoffs, operations, and project memory with explicit evidence boundaries.
Repo: rlaope/oh-my-hermes
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