Automated README summary
Automatically summarized from the README on 13 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
JevLint-LE reads Jev and OpenAI Decisions API questions out of JSON and code, and reports ones written in a way measured to produce bad answers. It ships as a VS Code extension, a command line for CI, and an MCP server for AI agents.
How it uses Jev
It lints the questions you send to Jev, not Jev's answers. It reads request bodies and question constructors, applies rules such as unpinned-model, no-fallback-option and arithmetic, and reports findings with fixes and silences. Two optional commands ask Jev or Luna to check a file using your own key.
Primitives:choicescorenoul
Technique worth stealing
Read both vendors' request shapes into one set of rules, so the same lint runs in the editor, in CI and for agents.
Try it
npx jevlint-le; VS Code: ext install nolindnaidoo.jevlint-le
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 projectnot found in the excerpt0.19
- Shows a System One patternnot found in the excerpt0.17
- Describes handling uncertaintynot found in the excerpt0.04
- Reports measured numbersnot found in the excerpt0.04
- Is a runnable toolFound in material0.99
- Top-10 learning shortlist signalnot found in the excerpt0.26
- Is a replica of the modelnot found in the excerpt0.03
- Solves a common problem (0–2)score on a 0–2 scale1.07 / 2
- About JevFound in material0.96
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 13 Oct 2026.