Automated README summary
Automatically summarized from the README on 17 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
Slop Mop is a Chrome extension and Vercel backend that judges LinkedIn posts for slop writing, then hides or outlines suspected slop. Built for readers who want control over their feed.
How it uses Jev
For each post, the server asks Jev twelve parallel questions: nine slop signs from Graphite's AI-tells research, two counter-signs (personal voice, usefulness), and one AI-draft likelihood that can only soften the score. Jev's answers plus engagement counts become a score out of 100 that drives hide/highlight decisions.
Primitives:score
Technique worth stealing
Turning a list of writing tells from research into parallel typed judgments that combine into one weighted score.
Try it
cd slopmop-extension && npm install && npm run build, then load dist unpacked in chrome://extensions.
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 projectunclear0.59
- Shows a System One patternnot found in the excerpt0.27
- Describes handling uncertaintynot found in the excerpt0.04
- Reports measured numbersnot found in the excerpt0.04
- Is a runnable toolFound in material0.97
- Top-10 learning shortlist signalnot found in the excerpt0.18
- Is a replica of the modelnot found in the excerpt0.05
- Solves a common problem (0–2)score on a 0–2 scale0.88 / 2
- About JevFound in material0.94
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 17 Oct 2026.