Automated README summary
Automatically summarized from the README on 21 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
A Chrome MV3 extension for x.com tweet detail pages that hides spam, bait, off-topic and AI-filler replies. It uses zero-cost local rules first, then sends remaining replies to TypeSafe Jev for classification.
How it uses Jev
Jev classifies each remaining reply batch (20 at a time) on the reply text plus author, asking four noul questions: promo/spam, engagement bait, off-topic, AI filler. Any score ≥ 0.75 collapses the reply. Recent user-labeled samples are included as context.
Primitives:noul
Technique worth stealing
Cache each verdict under both tweet id and author+text hash so repeated or re-identified replies never re-query Jev.
Try it
Load unpacked at chrome://extensions, open any x.com/status page; free quota works with no config.
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 material0.83
- Shows a System One patternFound in material0.89
- Describes handling uncertaintyFound in material0.75
- Reports measured numbersnot found in the excerpt0.07
- Is a runnable toolFound in material0.98
- Top-10 learning shortlist signalunclear0.59
- Is a replica of the modelnot found in the excerpt0.03
- Solves a common problem (0–2)score on a 0–2 scale1.19 / 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 21 Sept 2026.