Automated README summary
Automatically summarized from the README on 15 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
Tenbin helps coding agents design, lint, measure, and integrate TypeSafe AI (Jev) judgments into code. It provides an MCP server, an agent skill, and documentation for decomposing judgments into Choice/Score/Noul questions and calibrating thresholds.
How it uses Jev
Jev evaluates typed questions against a state to return calibrated probabilities. Tenbin decomposes a judgment into Choice/Score/Noul questions, lints them, measures accuracy on labelled data, and puts calibrated thresholds in code. The MCP server offers tools like tenbin_lint_questions, tenbin_evaluate, tenbin_evaluate_many, tenbin_rank, and tenbin_walk_taxonomy.
Primitives:choicescorenoul
Technique worth stealing
Decompose broad judgments into atomic questions, combine answers with weights and thresholds in code.
Try it
Invoke the skill with /tenbin or select the tenbin prompt in your MCP client.
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 material0.81
- Describes handling uncertaintynot found in the excerpt0.09
- Reports measured numbersnot found in the excerpt0.06
- Is a runnable toolFound in material0.90
- Top-10 learning shortlist signalunclear0.60
- Is a replica of the modelnot found in the excerpt0.03
- Solves a common problem (0–2)score on a 0–2 scale1.06 / 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 15 Oct 2026.