SKILLS & AGENTS/Skill 与 Agent·MCP-SERVER

pipeshub-ai

pipeshub-ai/pipeshub-ai

The open-source context layer for AI agents.

打开仓库Open repository 官网Homepage

怎么装：Install: curl -fsSL https://get.pipeshub.com/install | bash

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%

3.8k → 3.8k stars · 3 个快照3.8k → 3.8k stars · 3 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

CURL-PIPE

$

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

GIT-CLONE

$

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

存在风险Risk found

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/pipeshub-ai/pipeshub-ai
原始数据哈希Raw data hash: e82554bf5c5f723bdb8a53beb3f5e6d7
解析时间Parsed at: 2026-10-05T15:01:21.464Z
最后一次验证Last verified: 2026-10-05T13:45:39.240Z
增长测量时间Growth measured: —
发现查询Discovery queries: focus:token:repo:topic-context-engineering
分类来源Category source: rules
焦点Focus: token (5)

完整解析证据 JSONFull parse evidence JSON

{
  "agents": [
    {
      "agent": "claude-code",
      "evidence": "tree: .claude/"
    },
    {
      "agent": "gemini-cli",
      "evidence": "tree: .gemini/"
    }
  ],
  "apiKey": "ent: `PIPESHUB_MCP_URL=... PIPESHUB_MCP_TOKEN=... omnigent run examples/pipeshub/`. 3",
  "docker": null,
  "taxonomy": {
    "scores": {
      "design": 0,
      "ai-tools": 6,
      "dev-tools": 0,
      "indie-web": 0,
      "skill-agent": 12,
      "productivity": 7
    },
    "primary": "skill-agent",
    "secondary": "mcp-server"
  },
  "localRuntime": "oyment Guide PipesHub can be run locally or deployed on any server using Docker",
  "skillMdTotal": 9,
  "skillMdErrors": [],
  "treeTruncated": false,
  "categoryScores": {
    "data": 6,
    "agent": 3,
    "media": 0,
    "design": 0,
    "browser": 0,
    "devtool": 0,
    "security": 0,
    "marketing": 0,
    "productivity": 4
  },
  "classification": [
    {
      "signal": "9 SKILL.md with name + description",
      "weight": 0.95
    },
    {
      "signal": "skills/ directory with 1 markdown files",
      "weight": 0.75
    },
    {
      "signal": "MCP topic + README",
      "weight": 0.6
    },
    {
      "signal": "description mentions AI",
      "weight": 0.2
    }
  ],
  "scannedSources": [
    "readme",
    ".claude/skills/release-changelog/SKILL.md",
    "backend/python/app/agents/agent_loop/skills/builtin_packs/data-analysis/SKILL.md",
    "backend/python/app/agents/agent_loop/skills/builtin_packs/data-visualization/SKILL.md",
    "backend/python/app/agents/agent_loop/skills/builtin_packs/docx/SKILL.md",
    "backend/python/app/agents/agent_loop/skills/builtin_packs/file-conversion/SKILL.md",
    "backend/python/app/agents/agent_loop/skills/builtin_packs/office-utils/SKILL.md",
    "backend/python/app/agents/agent_loop/skills/builtin_packs/pdf/SKILL.md",
    "backend/python/app/agents/agent_loop/skills/builtin_packs/pptx/SKILL.md",
    "backend/python/app/agents/agent_loop/skills/builtin_packs/xlsx/SKILL.md"
  ],
  "skillMdFetched": 9
}