Automated README summary
Automatically summarized from the README on 19 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
Xift is a Firefox add-on for X users that collapses engagement bait, rage bait, low-substance, and self-promotion posts into one-line bars, using the user's own OpenRouter key and optionally a local Ollama model.
How it uses Jev
For each post (with its first photo if present), Xift asks Jev four typed questions: engagement bait, rage bait, low substance, self-promotion. Scores crossing user thresholds collapse the post to a bar; Show/Keep/Hide feedback adjusts thresholds.
Primitives:score
Technique worth stealing
Ask a decision model multiple independent typed questions per item and apply user-tunable thresholds to its calibrated scores.
Try it
Run `npx --yes web-ext@10.7.0 run` in the folder, then paste an OpenRouter API key into the popup.
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 material0.92
- Shows a System One patternFound in material0.82
- Describes handling uncertaintynot found in the excerpt0.10
- Reports measured numbersnot found in the excerpt0.14
- Is a runnable toolFound in material0.98
- Top-10 learning shortlist signalnot found in the excerpt0.33
- Is a replica of the modelnot found in the excerpt0.03
- Solves a common problem (0–2)score on a 0–2 scale1.06 / 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 19 Oct 2026.