Automated README summary
Automatically summarized from the README on 8 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
A Chrome/Brave extension that reads posts, replies, and comments on X and Facebook, classifies each with TypeSafe's Jev, and applies user-defined rules to label, dim, blur, or hide them.
How it uses Jev
For each post, Jev answers eight questions in one request: tone, post type, argument quality, and likelihoods for racist, contempt for nationality/immigrants, antisemitic, sexually explicit, and rage bait. Results drive rules that label, dim, blur, or hide content.
Primitives:choicescore
Technique worth stealing
Batch eight typed questions into one low-latency request per post, then cache results and apply user-defined thresholds.
Try it
Clone repo, load unpacked in chrome://extensions, paste TypeSafe API key in Settings, reload X/Facebook tabs.
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 material0.93
- Shows a System One patternFound in material0.93
- Describes handling uncertaintynot found in the excerpt0.07
- Reports measured numbersunclear0.43
- Is a runnable toolFound in material0.98
- Top-10 learning shortlist signalnot found in the excerpt0.39
- Is a replica of the modelnot found in the excerpt0.04
- Solves a common problem (0–2)score on a 0–2 scale1.37 / 2
- About JevFound in material0.97
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 8 Oct 2026.