jevbooks

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Jevchrome

TrivelaAS/Jevchrome

Real-time BS & rage-bait firewall for X, Facebook, LinkedIn.

Automated README summary

Automatically summarized from the README on 23 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A Chrome extension that scores X.com posts for bullshit and rage-bait as you scroll, showing stinkiness badges, collapsing high-score posts, and offering a one-click objective auto-answer for suspicious tweets.

How it uses Jev

Each visible tweet is hashed and batched (400ms debounce) into a 7-question Jev battery sent to api.typesafe.ai/v1/systemone with jev-1.14.0. Five noul probabilities, a 0..4 score, and a 7-way choice are validated, then combined by a deterministic policy into a stinkiness percentage that drives badges, shields, and auto-answer text.

Primitives:noulscorechoice

Technique worth stealing

Typed judgment battery plus deterministic weighted policy, with a satire-damping rule when the choice is satire with high confidence and margin.

Try it

Clone repo, export TYPESAFE_API_KEY, run npm start, load unpacked in chrome://extensions, open X.com.

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-1.14.0
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 projectFound in material0.91
  • Shows a System One patternnot found in the excerpt0.30
  • Describes handling uncertaintynot found in the excerpt0.05
  • Reports measured numbersnot found in the excerpt0.06
  • Is a runnable toolFound in material0.97
  • Top-10 learning shortlist signalnot found in the excerpt0.11
  • Is a replica of the modelnot found in the excerpt0.09
  • Solves a common problem (0–2)score on a 0–2 scale1.23 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.91Shows a System One pattern0.30Describes handling uncertainty0.05Reports measured numbers0.06Is a runnable tool0.97Top-10 learning shortlist signal0.11Is a replica of the model0.0900.51Solves a common problem (0–2)1.23 / 2012

no-judgment band (0.40–0.60)

Design patterns
Scorecard0.99Inspection0.98Questionnaire0.96Traffic light0.90Funnel0.67Viewfinder0.51Question bank0.4500.51

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 23 Oct 2026.