AI TOOLS/AI 工具·CHAT-AGENT
Canner/WrenAI
GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.
怎么装：Install: pip install wrenai
02 / 现在的位置02 / Why now
首次发现FIRST SEEN
03 OCT 202603 OCT 2026
增长GROWTH
+0.0%+0.0%
18k → 18k stars · 2 个快照18k → 18k stars · 2 snapshots
讨论DISCUSSION
1 SOURCES1 SOURCES
1 条外部提及1 external mentions
状态STATUS
持续活跃Active
HN_STORY · 6 points · 0 comments
03 / 它能帮你做什么03 / What it helps you do
04 / 安装04 / Install
$ Python 用户的完整版安装，包含命令行工具。The full install for Python users, including the command-line tool.
$ README 里给出的安装方式。The installation method given in the README.
两种装法选一个即可 —— 上面那条给命令行用户，下面那条给写代码的用户。Pick one of the two — the first is for command-line users, the second for people writing code.
05 / 限制与风险05 / Limits and risk
风险不是警告，是可信度的一部分。以下结论只基于文档静态扫描，我们不会执行项目里的任何代码。Risk here is evidence, not an alarm. These findings come from static scanning of the docs; we never execute a project’s code.
限制LIMITS
需检查Needs review
静态扫描STATIC SCAN
01读取 API KeyReads an API keycore/wren/src/wren/skills_content/dlt-connector/SKILL.md
dlt reads credentials from environment variables or `.dlt/secrets.toml`. The simplest approach for a one-time run:
02读取 API KeyReads an API keycore/wren/src/wren/skills_content/usage/SKILL.md
| Permission denied | Table/schema access | Check connection credentials |
03执行 Shell 命令Runs shell commandsskills/wren/SKILL.md
allowed-tools: Bash(wren:*)
这里只做静态扫描：读 README、SKILL.md 和依赖清单，不执行代码。没有命中不代表安全。This is static scanning only: we read the README, SKILL.md and dependency list, and never execute code. No findings does not mean safe.
{
"agents": [
{
"agent": "claude-code",
"evidence": "tree: .claude/"
},
{
"agent": "cline",
"evidence": "readme: …rks with Claude Code, Cursor, Cline, Codex, and [50+ other agents…"
}
],
"apiKey": "- Tokens: the CLI discovers `VERCEL_TOKEN` / `CLOUDFLARE_API_TOKEN` from the en",
"docker": null,
"taxonomy": {
"scores": {
"design": 0,
"ai-tools": 6,
"dev-tools": 2,
"indie-web": 0,
"skill-agent": 6,
"productivity": 3
},
"primary": "ai-tools",
"secondary": "chat-agent"
},
"localRuntime": null,
"skillMdTotal": 7,
"skillMdErrors": [],
"treeTruncated": false,
"categoryScores": {
"data": 7,
"agent": 0,
"media": 0,
"design": 0,
"browser": 0,
"devtool": 2,
"security": 0,
"marketing": 1,
"productivity": 0
},
"classification": [
{
"signal": "7 SKILL.md with name + description",
"weight": 0.95
},
{
"signal": "skills/ directory with 4 markdown files",
"weight": 0.75
},
{
"signal": "README describes a Claude / Agent Skill",
"weight": 0.7
},
{
"signal": "MCP topic + README",
"weight": 0.6
},
{
"signal": "description mentions AI",
"weight": 0.2
}
],
"scannedSources": [
"readme",
"core/wren/src/wren/skills_content/dlt-connector/SKILL.md",
"core/wren/src/wren/skills_content/enrich-context/SKILL.md",
"core/wren/src/wren/skills_content/genbi/SKILL.md",
"core/wren/src/wren/skills_content/generate-mdl/SKILL.md",
"core/wren/src/wren/skills_content/onboarding/SKILL.md",
"core/wren/src/wren/skills_content/usage/SKILL.md",
"skills/wren/SKILL.md"
],
"skillMdFetched": 7
}