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ask-jev-skill

shantanugoel/ask-jev-skill

Hermes skill that asks TypeSafe Jev as a typed tiebreaker.

Agent Decisions0.85Runner-up: Scoring & Ranking
Automated README summary

Automatically summarized from the README on 18 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A Hermes agent skill, written in Python, that lets agents consult TypeSafe Jev (jev-latest) for a decision instead of guessing. Jev returns Choice, Score or Noul answers with probabilities so the agent can act or escalate.

How it uses Jev

The agent passes a state string and a typed question to scripts/askjev.py; for a choice it supplies named options. Jev returns a Choice answer with a probability, which the agent uses as a confidence gate to act or escalate. SKILL.md documents when to call Jev and the pitfalls.

Primitives:choicescorenoul

Technique worth stealing

Use a probability-returning typed model as a tiebreaker, with a confidence gate deciding act versus escalate.

Try it

Copy SKILL.md and scripts into the Hermes skills directory, set TYPESAFE_API_KEY, then run scripts/askjev.py choice with --state, --question and --option.

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 material0.89
  • Shows a System One patternnot found in the excerpt0.29
  • Describes handling uncertaintynot found in the excerpt0.12
  • Reports measured numbersnot found in the excerpt0.05
  • Is a runnable toolFound in material0.96
  • Top-10 learning shortlist signalnot found in the excerpt0.36
  • Is a replica of the modelnot found in the excerpt0.02
  • Solves a common problem (0–2)score on a 0–2 scale1.02 / 2
  • About JevFound in material0.96
Signals
Jev is core to the project0.89Shows a System One pattern0.29Describes handling uncertainty0.12Reports measured numbers0.05Is a runnable tool0.96Top-10 learning shortlist signal0.36Is a replica of the model0.0200.51Solves a common problem (0–2)1.02 / 2012

no-judgment band (0.40–0.60)

Design patterns
Ghostwriter0.24Traffic light0.2200.51

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 18 Oct 2026.