by TheoOliveira · Agent Tool · ★ 67
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx pi-jev-gate -c "All exported functions have TypeScript type annotations" --diff
npx pi-jev-gate -c "Documentation updated" -f ./README.md -p 0.85 --jsonTaken from the project's README on GitHub. Check the security audit before running it.
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.
| Stars | 67 |
| Forks | 13 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 74/100 |
| Open Issues | 5 |
| Last Updated | 2026-10-03 |
| Created | 2026-09-17 |
| Platforms | node |
| Est. Tokens | ~10k |
pi-jev Semantic tool routing and typed decisions for the Pi coding agent powered by TypeSafe Jev (System One). Features Semantic Tool Router (): Automatically searches registered inactive tools and additively activates only the tools needed for the user's specific prompt or workflow.
Looking for a pi-jev alternative? If you're comparing pi-jev with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
TypeSafe Jev as a decision layer for the Pi coding agent: a measured tool-call gate plus jev_ask for typed, ca
A community directory of projects built on Jev, TypeSafe AI's System One model.
Typed decisions with TypeSafe's Jev, the first System One model
A curated list of Jev use cases, projects, SDKs, and resources. Jev is TypeSafe AI's System One model for fast
Guardrails for Pi that steer instead of interrupt: enforces your project rules on every write, holds only hard
Unofficial TypeSafe Jev showcase — System One decisions, not chat.
Explore other popular agent tool tools:
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: