Automated README summary
Automatically summarized from the README on 7 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
An OpenClaw plugin for agent operators: it classifies each incoming message as thanks, spam, question, or incident (plus urgent yes/no) so the main model only runs on messages that need it.
How it uses Jev
On the before_dispatch hook, Jev classifies each incoming message and returns a score. At score ≥ 0.9, thanks gets an automatic reply, spam is silenced, and question/incident get a '[triage by Jev: ..., urgent ...]' prefix plus earlier verdicts of the same chat; lower scores take the normal agent path.
Primitives:choice
Technique worth stealing
Gate the main model behind a decision model's calibrated score, with a threshold that routes easy cases away.
Try it
openclaw plugins install git:github.com/CodeCave0000/jev-triage --force --accept-capabilities
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 material0.74
- Shows a System One patternFound in material0.77
- Describes handling uncertaintyFound in material0.91
- Reports measured numbersnot found in the excerpt0.05
- Is a runnable toolFound in material0.94
- Top-10 learning shortlist signalunclear0.46
- Is a replica of the modelnot found in the excerpt0.13
- Solves a common problem (0–2)score on a 0–2 scale1.34 / 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 7 Oct 2026.