agentleFS
dataeasedataease/SQLBot/AGENTS.md

SQLBot

AGENTS.md7k starsChanged 15 months agoLicence not identifiedView on GitHub

SQLBot 让业务用户用自然语言提问,基于已配置的数据源生成并安全执行 SQL,返回数据、图表、分析和后续问题建议。领域词汇表见 CONTEXT.md。 本文及按需文档是开发约定,不是现有实现已满足所有约束的证明。文档与实现冲突时先核实并报告差异,不要为迎合旧实现削弱安全要求;易漂移的实现细节注明源码入口或适用版本,避免多处复制。领域词汇约定不要求重命名现有 API、数据库字段或翻译键。 商业扩展源码维护在独立仓库 dataease/sqlbot-xpack。它不是 submodule,也不是本仓库的固定子目录。本地 sqlbot-xpack/ checkout 会被主仓库忽略,永远不应出现在本仓库 PR 中。 默认使用开源版 SQLBot 工作流:把 sqlbot-xpack 视为版本范围由 backend/pyproject.toml 约束的已发布 wheel(精确版本冻结在不入库的 uv.lock)。不读取、不修改本地 xpack checkout。 只有任务确实需要修改或调试闭源 xpack 代码,或需要两个仓库联动验证时,才按 docs/agents/xpack.md 检查本地关联开关(AGENTS.local.env)并协调两个仓库的变更。

  • Reads credentials

Trending

Quiet since March.thin dataabout the whole repository

Dec 2025: 0 mentionsJan 2026: 2 mentionsFeb 2026: 0 mentionsMar 2026: 3 mentionsApr 2026: 0 mentionsMay 2026: 0 mentionsJun 2026: 0 mentionsJul 2026: 0 mentionsAug 2026: 0 mentionsSep 2026: 0 mentionsOct 2026: 0 mentionsNov 2026: 0 mentions
Dec 2025Jun 2026Nov 2026
Mentions a month of the dataease/SQLBot repository that our weekly crawl found: only 12 in all, so this is a hint, not a trend. There is no adoption data for this file yet.

Who's talking about dataease/SQLBot

The biggest 5 of 12 mentions linking to the repository that our crawl found. Each line is their own headline.

See all 12

Talked about on GitHub (12 times).

On GitHub · 12

7 more on GitHub

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.