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 Claude Code / ZCode skill that moves high-frequency small judgments out of the main model's context and into Jev, cutting token cost for classification, batch screening, scoring, and compliance checks. Aimed at AI coding agents and their users.
How it uses Jev
The skill triggers automatically on classify/route, batch-screen, score, and verify tasks. jev.py sends a state plus typed questions (choice / noul / score) to Jev via OpenCode Zen's free tier and returns typed schema results, so raw items stay in the script and only conclusions re-enter the agent context.
Primitives:choicescorenoul
Technique worth stealing
Keep raw batch items in the script and send only typed questions to Jev; return conclusions to context, not the source data.
Try it
Store a Zen key, clone the repo into the agent's skills dir, then pipe a JSON state and questions to jev.py.
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 material0.94
- Shows a System One patternFound in material0.87
- Describes handling uncertaintynot found in the excerpt0.07
- Reports measured numbersFound in material0.95
- Is a runnable toolFound in material0.90
- Top-10 learning shortlist signalFound in material0.70
- Is a replica of the modelnot found in the excerpt0.03
- Solves a common problem (0–2)score on a 0–2 scale1.63 / 2
- About JevFound in material0.98
no-judgment band (0.40–0.60)
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.