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system-one-security

ankushchadha/system-one-security

Security experiments on System One decision models (Jev, Clef).

Evaluation & Benchmarking0.57Runner-up: Calibration & ResearchQuestionnaire
Automated README summary

Automatically summarized from the README on 20 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A rerunnable test suite probing how TypeSafe Jev and Cloudflare Clef decision models respond to state poisoning, prompt injection, truncation, and guard questions, using a synthetic citation-checker knowledge base.

How it uses Jev

Jev answers typed questions (noul yes/no probability, choice among options) over a state containing claims and a synthetic KB. Experiments edit, prepend, or append text to the state and record whether verdicts flip, e.g. a fake empty STATE: header making true claims return says_nothing.

Primitives:choicenoul

Technique worth stealing

Appending a fake empty STATE: header after evidence makes Jev answer says_nothing for true claims when questions say 'the state'.

Try it

npm install; set env keys; npx tsx experiments/01-truncation.ts --backend jev

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 projectunclear0.46
  • Shows a System One patternnot found in the excerpt0.17
  • Describes handling uncertaintynot found in the excerpt0.05
  • Reports measured numbersunclear0.49
  • Is a runnable toolnot found in the excerpt0.07
  • Top-10 learning shortlist signalnot found in the excerpt0.24
  • Is a replica of the modelnot found in the excerpt0.04
  • Solves a common problem (0–2)score on a 0–2 scale1.32 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.46Shows a System One pattern0.17Describes handling uncertainty0.05Reports measured numbers0.49Is a runnable tool0.07Top-10 learning shortlist signal0.24Is a replica of the model0.0400.51Solves a common problem (0–2)1.32 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.77Check-up0.36Traffic light0.34Blind review0.3000.51

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 20 Oct 2026.