Automated README summary
Automatically summarized from the README on 31 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
DecisionLint checks Jev and OpenAI Decisions API (gpt-6-luna) questions in JSON, JavaScript, TypeScript, Python, Rust and Go for patterns measured to produce bad answers, for developers using TypeSafe or compatible platforms.
How it uses Jev
It reads Jev and Luna questions out of source and JSON and flags malformed ones (e.g. unpinned model aliases, missing fallback options, unreliable counting) before any request is sent. Linting makes no API calls and needs no key; optional Ask and Probe commands use your own key to query the model.
Primitives:choicescorenoul
Technique worth stealing
Static lint rules over decision-model questions, shared across an editor extension, CI CLI and MCP server.
Try it
npx decisionlint for CI, or ext install nolindnaidoo.decisionlint in VS Code.
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 projectnot found in the excerpt0.09
- Shows a System One patternnot found in the excerpt0.15
- Describes handling uncertaintynot found in the excerpt0.02
- Reports measured numbersnot found in the excerpt0.02
- Is a runnable toolFound in material0.98
- Top-10 learning shortlist signalnot found in the excerpt0.10
- Is a replica of the modelnot found in the excerpt0.05
- Solves a common problem (0–2)score on a 0–2 scale1.12 / 2
- About JevFound in material0.99
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 31 Oct 2026.