hermes-jev-skills: Jev-powered model routing, memory, compaction, skill selection, computer and browser use for Hermes agents

by kerpopule · Codex Skill · ★ 1.3k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install hermes-jev-skills

git clone https://github.com/kerpopule/hermes-jev-skills ~/hermes-jev-skills

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 67/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

🧪 Tested by Agent Skills Hub

One of 11 tools we ran end to end on the same task for our TypeSafe Jev page (2026-10-11).

Result: its quick start ran on a Jev key alone · 3 steps beyond the README · 39 s to install and run

See the first run → · See the whole test →

Quick Facts

Stars1,293
Forks125
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score67/100
Open Issues6
Last Updated2026-10-29
Created2026-09-18
Platformsbrowser, claude-code, codex, python
Est. Tokens~15k

About hermes-jev-skills

Hermes Jev Skills Give your agent a fast, cheap second brain for the small decisions. Jev is TypeSafe's decision model. It does not write text. You hand it a state and typed questions (pick one, score this, yes or no) and it answers in about 0.4 seconds for a tiny fraction of a cent, with a calibrated confidence.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse Codex Skill tools