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jev-agent-skill-router

GodsBoy/jev-agent-skill-router

Typed, confidence-aware agent skill routing with TypeSafe Jev.

Automated README summary

Automatically summarized from the README on 20 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A Python CLI and library that routes a request to one skill from a catalogue of skill names and public descriptions, returning route, no_skill, or review. It is an optional routing layer for agent platforms like Hermes Agent.

How it uses Jev

Jev makes typed Choice calls to select top candidates per batch and final Choice plus need, ambiguity, and fit Noul judgements. Python applies thresholds to route, decline, or review. Each call returns candidate probabilities and independent judgement evidence.

Primitives:choicenoul

Technique worth stealing

Sort candidates, split into deterministic batches, run parallel Jev Choice calls, retain top candidates per batch, and reduce until a final Choice fits.

Try it

jev-router route --baseline --catalogue examples/catalogue.json --request "Repair the multi-stage Dockerfile so the image builds."

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-1.13.0
Project signals
jev-1.13.0
Category
jev-1.13.0
Pattern tags
jev-1.13.0

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 material0.92
  • Shows a System One patternFound in material0.73
  • Describes handling uncertaintynot found in the excerpt0.27
  • Reports measured numbersFound in material0.99
  • Is a runnable toolnot found in the excerpt0.34
  • Top-10 learning shortlist signalunclear0.47
  • Is a replica of the modelnot found in the excerpt0.07
  • Solves a common problem (0–2)score on a 0–2 scale1.40 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.92Shows a System One pattern0.73Describes handling uncertainty0.27Reports measured numbers0.99Is a runnable tool0.34Top-10 learning shortlist signal0.47Is a replica of the model0.0700.51Solves a common problem (0–2)1.40 / 2012

no-judgment band (0.40–0.60)

Design patterns
Traffic light0.92Flight recorder0.85Inspection0.84Scorecard0.72Check-up0.53Fail open, fail closed0.43Funnel0.39Blind review0.31Questionnaire0.28Menu0.2100.51

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 20 Sept 2026.