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 TheoLeeCJ · AI Tool · ★ 2.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is SemIf safe to install? View the security audit →
SemIf (formerly OpenJev) Semantic ifs from open models, on a 3090 at home. Independent project; not affiliated with Jev or TypeSafe. Wow! No waitlist. Run it in your browser today. Same frozen 4B model · same state · same 21 questions · measured separately, aligned at t=0 in the replay Independent research project. SemIf was formerly called OpenJev. It is not affiliated with or endorsed by TypeSafe. Jev, TypeSafe, and other names and marks are the property of their respective owners. No infringement is intended. Most agent decisions are small: route this, retry that, does the evidence support X? A chat model can answer them, but it spends time generating text that software immediately parses back into an statement. Jev is TypeSafe's closed service for runtime-defined semantic decisions. This project reproduces that interface pattern with open models; it does not reproduce Jev's undisclosed model or training. This baseline reads typed option probabilities directly from a model. No answer sentence, JSON repair, or decoding loop. Latest changes — 2026-09-18 Added MiniCPM5 2B and Qwen3.5 4B to the browser demo. Added Uns
| Stars | 2,192 |
| Forks | 134 |
| Language | Python |
| Category | AI Tool |
| License | MIT |
| Quality Score | 60.3523777755909/100 |
| Open Issues | 10 |
| Last Updated | 2026-09-19 |
| Created | 2026-09-16 |
| Platforms | python |
| Est. Tokens | ~15k |
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SemIf is Semantic ifs from open models, on a 3090 at home. Independent; not affiliated with Jev or TypeSafe.. It is categorized as a AI Tool with 2.2k GitHub stars.
SemIf is primarily written in Python.
You can find installation instructions and usage details in the SemIf GitHub repository at github.com/TheoLeeCJ/SemIf. The project has 2.2k stars and 134 forks, indicating an active community.
SemIf is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to SemIf on Agent Skills Hub include claude-code-infrastructure-showcase, vision-agent, axton-obsidian-visual-skills. 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: