aigeeknews recommends hermes-jev-skills for routine decisions such as model routing, screening search results, checking content, selecting Skills and routing email. The post introduces a multi-Skill repository and cites the project’s evaluation results.
kerpopule/hermes-jev-skills
SkillsMP는 kerpopule/hermes-jev-skills에서 10개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
- 최근 기록된 소스 활동
- SkillsMP 카탈로그 업데이트
- 수집된 skills
- 10
- GitHub 스타
- 689
- GitHub 포크
- 63
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Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/kerpopule/hermes-jev-skills.Hermes Jev Skills: structured decisions for agent tasks
A collection that uses TypeSafe’s Jev decision model for model routing, search-result selection, memory filtering, turn selection, Skill selection, mailbox sorting and browser or desktop action choices. Jev answers typed questions with choices, scores or probabilities; the host carries out the work.
Uses
For Hermes model routing, the README recommends starting with /jev routing shadow: record decisions before allowing them to switch models.
Prerequisites
The package requires Python 3.9 or newer and a TypeSafe API key. The installer detects supported Hermes, Claude Code and Codex installations; some integrations are specific to Hermes.
Limitations
Jev is a cloud API. Depending on the feature, redacted user turns, passage excerpts or action labels leave the machine; profiles handling text that must stay local need the documented private_profiles setting. Action choices are limited to the candidate actions supplied by the host. Jev does not write the final prose.
Sources
게시물
모두 보기 →이 저장소의 skills
수집된 skill 10개 중 10개를 표시합니다.
Use after any web or API search, before opening results or spending another round. Jev picks which results to read, whether the evidence is enough, and which query to run next from ones you wrote.
원문 언어: 영어
Use to pick the cheapest model that is good enough for a turn — choosing a model, delegating a sub-task to a sub-agent, cutting model spend, or setting up and tuning Jev routing pools.
원문 언어: 영어
Use when unsure which of many installed skills applies to a request, if any, or when asked to make skill loading cheaper or more accurate. Jev ranks the whole catalog and may say no skill is needed.
원문 언어: 영어
Use when driving a desktop GUI through a computer-use driver — windows, menus, native apps, OS dialogs. You build a table of safe actions; Jev picks the next one in about 0.4 seconds.
원문 언어: 영어
Use on a mailbox export to sort mail into needs reply, updates, promotional, sales and spam — which messages are addressed to the person at all. For a support queue use jev triage.
원문 언어: 영어
Use when a transcript has to be cut to a fixed size and you must choose which turns go. Jev marks each turn keep, summarize or drop. Measured: it does not make a handoff better.
원문 언어: 영어
Use when Jev is not working yet, a Jev tool reports no_key or auth_failed, or the person asks to connect or fix Jev. Gets their TypeSafe or OpenRouter key into the secret store, unseen by you.
원문 언어: 영어
Use on passages a search just returned (memory, vault, session history, wiki, web) before reading them in. Jev ranks them, drops the irrelevant, and flags prompt injection hidden in the text.
원문 언어: 영어
Use when driving a web page in a browser — clicking, typing, navigating, logged-in or JS-rendered pages. Jev picks each step from the elements observed, under a host allowlist and a step budget.
원문 언어: 영어
Use when a task is already judged hard — pick which paid frontier seat takes it, then keep Jev watching the delegated run so it interrupts you only when the run needs a decision.
원문 언어: 영어