No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by logan-markewich · AI Tool · ★ 148
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is jeff safe to install? View the security audit →
jeff A self-hosted implementation of TypeSafe's jev System One API, powered by GLiFormer (400M parameters). Use the official by pointing at jeff. Supports (pick an option), (rate on ordered levels), and (probability of yes). Cheaper to self-host, but less accurate than jev on reasoning-heavy tasks. See benchmarks. Quickstart · Deploy · Configuration · API · Development Quickstart Requires uv and Python 3.12. Run from the repository root: Serves at . Device selection: CUDA → MPS → CPU. The sync above also installs . Save this as : python from typesafesdk import Choice, Noul, Score, TypeSafeClient client = TypeSafeClient(apikey="devkey", baseurl="http://localhost:8000") result = client.systemone( "I was charged twice. Please help ASAP.", { "billing": Noul(instructions="Is this about billing?"), "tone": Choice( instructions="What is the tone?", criteria={"calm": None, "angry": "hostile"}, ), "urgency": Score(
| Stars | 148 |
| Forks | 7 |
| Language | Python |
| Category | AI Tool |
| License | MIT |
| Quality Score | 71.5407501860854/100 |
| Last Updated | 2026-09-20 |
| Created | 2026-09-19 |
| Platforms | python |
| Est. Tokens | ~15k |
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jeff is A self-hosted drop-in replacement for TypeSafe's jev, powered by GliFormer.. It is categorized as a AI Tool with 148 GitHub stars.
jeff is primarily written in Python. It covers topics such as classification, encoder, gliner.
You can find installation instructions and usage details in the jeff GitHub repository at github.com/logan-markewich/jeff. The project has 148 stars and 7 forks, indicating an active community.
jeff is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to jeff on Agent Skills Hub include awesome-jev-by-typesafe, awesome-typesafe, jev-align. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: