AI TOOLS/AI 工具·CHAT-AGENT

datastoria

FrankChen021/datastoria

AI-native ClickHouse console for your cluster diagnostics and query generation, optimization and data visualization.

打开仓库Open repository 官网Homepage

怎么装：Install: git clone --recurse-submodules https://github.com/FrankChen021/datastoria.git

02 / 现在的位置02 / Why now

它现在处在什么位置Where it stands right now

首次发现FIRST SEEN

03 OCT 202603 OCT 2026

增长GROWTH

+0.0%+0.0%

327 → 327 stars · 2 个快照327 → 327 stars · 2 snapshots

状态STATUS

持续活跃Active

03 / 它能帮你做什么03 / What it helps you do

它能帮你做成什么What it helps you do

04 / 安装04 / Install

怎么装How to install

GIT-CLONE

$

README 里给出的安装方式。The installation method given in the README.

DOCKER

$

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

限制与风险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

01需要 API KeyREQUIRES API KEY: 是Yes
02需要本地环境NEEDS LOCAL RUNTIME: 是Yes
03需要 DockerNEEDS DOCKER: 未在文档中发现Not found in the docs
04难度DIFFICULTY: 需要本地环境Needs a local runtime

PROVENANCE · 这些结论的依据是什么Where these conclusions come from

来源 URLSource URL: https://github.com/FrankChen021/datastoria
原始数据哈希Raw data hash: 74ff33e446cc1171a4aea4eba7b184dd
解析时间Parsed at: 2026-10-03T23:17:24.008Z
最后一次验证Last verified: 2026-10-04T08:53:33.891Z
增长测量时间Growth measured: 2026-10-03T23:24:59.911Z
发现查询Discovery queries: focus:token:code:save-tokens
分类来源Category source: rules
焦点Focus: web · token (4)

完整解析证据 JSONFull parse evidence JSON

{
  "agents": [
    {
      "agent": "codex",
      "evidence": "tree: .codex/"
    },
    {
      "agent": "copilot",
      "evidence": "readme: …hropic Claude, Google Gemini, GitHub Copilot, OpenRouter, Groq, Cerebras,…"
    }
  ],
  "apiKey": "r machine. - **Bring Your Own API Key** — Use your own LLM API keys for AI fe",
  "docker": null,
  "taxonomy": {
    "scores": {
      "design": 0,
      "ai-tools": 4,
      "dev-tools": 1,
      "indie-web": 0,
      "skill-agent": 4,
      "productivity": 0
    },
    "primary": "ai-tools",
    "secondary": "chat-agent"
  },
  "localRuntime": "llow these steps to build and run locally: ```bash # Clone the repository git cl",
  "skillMdTotal": 7,
  "skillMdErrors": [],
  "treeTruncated": false,
  "categoryScores": {
    "data": 4,
    "agent": 0,
    "media": 0,
    "design": 0,
    "browser": 0,
    "devtool": 1,
    "security": 2,
    "marketing": 0,
    "productivity": 0
  },
  "classification": [
    {
      "signal": "7 SKILL.md with name + description",
      "weight": 0.95
    },
    {
      "signal": "README describes a Claude / Agent Skill",
      "weight": 0.7
    },
    {
      "signal": "description mentions AI",
      "weight": 0.2
    }
  ],
  "scannedSources": [
    "readme",
    "resources/skills/clickhouse-system-queries/SKILL.md",
    "resources/skills/diagnose-clickhouse-clusters/SKILL.md",
    "resources/skills/diagnose-clickhouse-errors/SKILL.md",
    "resources/skills/optimize-clickhouse-sql/SKILL.md",
    "resources/skills/source-code-inspection/SKILL.md",
    "resources/skills/sql-expert/SKILL.md",
    "resources/skills/visualization/SKILL.md"
  ],
  "skillMdFetched": 7
}