jevbooks

← All projects

orca-jev-advisor

ab2webco/orca-jev-advisor

Jev-backed gate that judges agent commands before they run.

Verification & Guardrails0.92Runner-up: Agent DecisionsFunnel
Automated README summary

Automatically summarized from the README on 3 Nov 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

An Orca Lab plugin for teams running coding agents. It puts a fast, cheap judgement in front of every command an agent issues, allowing harmless ones, refusing dangerous ones, and only asking a human when team policy requires it.

How it uses Jev

For each agent command, Jev answers typed questions about the command and repository state (e.g. whether it writes to main or is risky). Its calibrated verdict decides allow, refuse, or advise the coding model; a human is asked only when team policy demands it.

Primitives:choicescore

Technique worth stealing

Route each command through a small typed-question model instead of a large reasoning model, so most commands pass silently and only policy-relevant ones stop.

Try it

Install as an Orca Lab plugin, then Settings → Plugins → Refresh → Jev Advisor → Check for update.

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.14.0
Project signals
jev-1.14.0
Category
jev-1.14.0
Pattern tags
jev-1.14.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectFound in material0.74
  • Shows a System One patternFound in material0.77
  • Describes handling uncertaintynot found in the excerpt0.30
  • Reports measured numbersnot found in the excerpt0.02
  • Is a runnable toolFound in material0.94
  • Top-10 learning shortlist signalnot found in the excerpt0.34
  • Is a replica of the modelnot found in the excerpt0.16
  • Solves a common problem (0–2)score on a 0–2 scale1.50 / 2
  • About JevFound in material0.99
Signals
Jev is core to the project0.74Shows a System One pattern0.77Describes handling uncertainty0.30Reports measured numbers0.02Is a runnable tool0.94Top-10 learning shortlist signal0.34Is a replica of the model0.1600.51Solves a common problem (0–2)1.50 / 2012

no-judgment band (0.40–0.60)

Design patterns
Funnel0.97Check-up0.49Viewfinder0.45Traffic light0.34Fail open, fail closed0.3100.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 3 Nov 2026.