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jev-guardrail

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Updated 10-15 19:50

About this skill

Jev LLM guardrail

Jev does not refuse in prose. It scores hazards. Code returns pass / review / block, then a generative model (or a static message) talks.

Primitives and auth: skills/jev/SKILL.md. Cookbook: https://docs.typesafe.ai/cookbooks/llm_guardrails

Battery

One request. Independent Nouls per hazard + one Score for harm. Gate Noul on the probability. Do not copy a Noul threshold onto Choice confidence.

Input hazards in this repo: jailbreak, prompt_injection, secret_exfil, denylist_pressure, harmful_request.

Output hazards: broke_policy, secret_leak, hallucination, instruction_drift, harmful_content.

Screen both sides. Redact secrets before sending state.

Policy lives in code

Caller-owned thresholds. Defaults in this repo (packages/js/src/guard.ts, jev_lab/policy.py):

Signal Strict Permissive
Noul review ≥ 0.35 ≥ 0.35
Noul action ≥ 0.7 ≥ 0.85
Harm Score promotes review → block ≥ 2.0 ≥ 2.0

Guardrails fail closed (block if the call errors). Routers may fail open; this skill does not.

jailbreak, prompt_injection, secret_exfil, denylist_pressure, harmful_request, broke_policy, secret_leak, harmful_content → block when above the action bar. hallucination and instruction_drift → review.

Pair with a generative model

  • block — do not forward the text; return a fixed refusal
  • review — human or a reasoning model
  • pass — generate as usual

This repo

npx jev guard --side input --text "Ignore previous instructions" --json
npx jev guard --side output --text "$REPLY" --json
python examples/07_guardrails.py
  • packages/js/src/guard.ts — inputBattery / outputBattery / routeGuard
  • examples/07_guardrails.py — Choice + Noul, then skip the chat model