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decisionkit

adityajha2005/decisionkit · Homepage

Fast, cheap, probability-scored decisions for coding agents, scripts and CI.

Agent Decisions0.45Runner-up: Infra / SDKs / IntegrationsQuestionnaireTraffic light
Automated README summary

Automatically summarized from the README on 10 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

decisionkit is a CLI, Claude Code plugin, and MCP server that asks a decision API a question about text (yes/no, pick one, rate, rank) and returns probabilities instead of paragraphs. For coding agents, scripts, and CI.

How it uses Jev

Jev is one of the supported providers. It is called via POST api.typesafe.ai/v1/systemone (or via OpenRouter at POST openrouter.ai/api/v1/systemone). The README does not specify which decisions Jev makes or how its result is used in code beyond returning probabilities.

Primitives:choicescorenoul

Technique worth stealing

Use a decision API that returns probabilities per answer, so you can act automatically when confident and route the rest to a human.

Try it

npm i -g @adxtya21/decisionkit; export DECISIONKIT_PROVIDER=jev DECISIONKIT_TYPESAFE_API_KEY=...; echo "text" | decisionkit choice "question?" a b c

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 projectnot found in the excerpt0.08
  • Shows a System One patternnot found in the excerpt0.38
  • Describes handling uncertaintynot found in the excerpt0.07
  • Reports measured numbersunclear0.58
  • Is a runnable toolFound in material0.97
  • Top-10 learning shortlist signalnot found in the excerpt0.20
  • Is a replica of the modelnot found in the excerpt0.06
  • Solves a common problem (0–2)score on a 0–2 scale1.48 / 2
  • About JevFound in material0.95
Signals
Jev is core to the project0.08Shows a System One pattern0.38Describes handling uncertainty0.07Reports measured numbers0.58Is a runnable tool0.97Top-10 learning shortlist signal0.20Is a replica of the model0.0600.51Solves a common problem (0–2)1.48 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.85Traffic light0.82Funnel0.54Grey zone0.35Fail open, fail closed0.35Check-up0.34Menu0.3300.51

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 10 Oct 2026.