This is the shape of the compact deploy / packaging read I send when a bot, agent, or infra repo technically works, but still feels janky in the public deploy story: token confusion, reverse-WS ambiguity, Docker glue, weak README framing, or a landing page that still feels like a hobby demo.
This sample is intentionally redacted / synthetic. The point is not perfect prose. The point is to show the level of bluntness, prioritization, and ready-to-paste edits someone gets back.
Better target story:
Right now the repo has multiple valid stories. For strangers, that reads as uncertainty. Push one path harder: Docker demo → NapCat WebUI → /ping → /status. Everything else should be framed as “after that works”.
If a reader can’t immediately tell where the token lives and who dials whom, they mentally downgrade the repo from “infra scaffold” to “fiddly bot glue”. Repeat the same wording in README, sample config, and landing-page copy.
Feature bullets are already okay. The missing proof is confidence: “this path is the shortest sane way in”, “this is what is verified”, and “this is what I will bluntly fix for your repo if you buy the read”.
A production-minded QQ ↔ AI bridge for OneBot 11 / NapCat / LLOneBot that gives you one clear self-hosted path from transport to ACP-compatible agents, with persistent sessions, progress streaming, health endpoints, and a Docker demo that proves the chain before you swap in your own runtime.
If your own bot repo already works but still looks toy-like, the fastest paid path here is a ¥29.9 deploy read: one blunt paragraph, top 3 fixes, and the exact deploy / README / landing-page story to rewrite first.