Automated README summary
Automatically summarized from the README on 20 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
A Chinese patent skill suite for R&D teams and patent engineers: mining patent points, scoring fact completeness, judging legal patent type, and generating disclosure/application documents, OA replies and Obsidian patent maps.
How it uses Jev
patent_intake_gate.py runs a Jev System-1 gate on the raw technical brief. Jev returns a factual completeness score and a patent category (invention/utility model/design). If completeness < 1.5 the script exits with code 2 and emits a missing-fact question list; if >= 1.5 it passes to System-2 LLM drafting.
Primitives:scorechoice
Technique worth stealing
Use a fast typed gate to reject under-specified inputs before spending slow LLM drafting compute.
Try it
pip install -r requirements.txt; export OPENROUTER_API_KEY; python3 examples/demo_jev_intake_comparison.py
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 material0.88
- Shows a System One patternFound in material0.69
- Describes handling uncertaintynot found in the excerpt0.15
- Reports measured numbersnot found in the excerpt0.23
- Is a runnable toolFound in material0.68
- Top-10 learning shortlist signalnot found in the excerpt0.34
- Is a replica of the modelnot found in the excerpt0.15
- Solves a common problem (0–2)score on a 0–2 scale1.04 / 2
- About JevFound in material0.93
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 20 Sept 2026.