Automated README summary
Automatically summarized from the README on 31 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
A Chrome MV3 extension for LinkedIn scrollers that judges each feed post as identity performance (LARP) or concrete work (REAL), stamping a colored pill with label and confidence on every post.
How it uses Jev
For each post, one batched Jev request asks nouls (work_shown, image_crafted, stat_farming, headline_larp, headline_supported, is_ai_written, news_report) plus scales and axes. lib/verdict.js composes answers into a REAL/LARP badge using gap math and thresholds; the pill shows label and confidence.
Primitives:choicescorenoul
Technique worth stealing
One batched call per post (speculative fan-out): ask every independent question at once, then let code decide which answers matter.
Try it
Load unpacked in chrome://extensions, paste a TypeSafe API key in Options, or set provider to Mock.
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 material0.95
- Shows a System One patternnot found in the excerpt0.12
- Describes handling uncertaintynot found in the excerpt0.04
- Reports measured numbersnot found in the excerpt0.02
- Is a runnable toolFound in material0.97
- Top-10 learning shortlist signalnot found in the excerpt0.14
- Is a replica of the modelnot found in the excerpt0.04
- Solves a common problem (0–2)score on a 0–2 scale0.52 / 2
- About JevFound in material0.99
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 31 Oct 2026.