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 featherless-ai · AI Tool · ★ 348
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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Simple Jev Project Use compatible open models from huggingface, for structured classification and scoring, without training a separate classifier head. Explore the demos, playground, and documentation at simple-jev.featherless.ai. Send shared context and a set of questions. Simple Jev reads the model's next-token logits for each question and builds a JSON response containing choices, rubric scores, or truth/support judgments. The model does not generate a JSON completion: the server constructs the response from the scores. The current implementation runs locally with Hugging Face Transformers and PyTorch. Shared request validation, versioned prompt instructions, and response scoring live in the plain Python folder so other inference implementations can use the same rules. Try it today Try the public demo API with no login, API key, or authentication required. The demo has a 2k-token context limit and is rate limited to 2 requests per second (2 RPS). First, list the available models with : The demo already serves Gemma as . Try it directly with , or use another model ID returned by the list: bash curl https://simple-jev-demo-api.featherless.ai/v1
| Stars | 348 |
| Forks | 36 |
| Language | Python |
| Category | AI Tool |
| Quality Score | 58.8666261337878/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-20 |
| Created | 2026-09-18 |
| Platforms | python |
| Est. Tokens | ~17k |
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simple-jev is Turn any open model into a classifier/jev endpoint. It is categorized as a AI Tool with 348 GitHub stars.
simple-jev is primarily written in Python.
You can find installation instructions and usage details in the simple-jev GitHub repository at github.com/featherless-ai/simple-jev. The project has 348 stars and 36 forks, indicating an active community.
The top alternatives to simple-jev on Agent Skills Hub include perf-map-agent, shaping-skills, pivotnacci. 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.
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