Automated README summary
Automatically summarized from the README on 26 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
A Telegram anti-spam bot originally built for Vas3k.Club chats but usable in any large chat. It issues captchas to new members, applies simple message filters, and optionally runs LLM checks on text, photos, and profiles.
How it uses Jev
The README only mentions Jev in the context of background dataset replenishment via "Jev + Luna" when DOORMAN_OPENROUTER_API is set, and that low-confidence and ham-suggestion flows wait for the Jev + Luna background check. It does not describe which typed questions Jev answers, what state it receives, or how results are consumed in code.
Try it
Set DOORMAN_BOT_API and DOORMAN_ADMIN_CHAT; optionally DOORMAN_OPENROUTER_API to enable LLM moderation and Jev + Luna dataset replenishment.
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 projectnot found in the excerpt0.04
- Shows a System One patternnot found in the excerpt0.12
- Describes handling uncertaintynot found in the excerpt0.10
- Reports measured numbersnot found in the excerpt0.02
- Is a runnable toolFound in material0.93
- Top-10 learning shortlist signalnot found in the excerpt0.06
- Is a replica of the modelnot found in the excerpt0.06
- Solves a common problem (0–2)score on a 0–2 scale1.63 / 2
- About JevFound in material0.88
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 26 Oct 2026.