DEVELOPER TOOLS/开发者工具·CODING-AGENT

Graft

trailhq/Graft

Turbocharge Claude Code, Cursor, Codex, Gemini & every coding agent: faster, cheaper, with contextual understanding specific to your codebase.

打开仓库Open repository 官网Homepage

怎么装：Install: npm install -g @nanonets/graft # install the CLI, once

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

+0.3%+0.3%

9.5k → 9.6k stars · 2 个快照9.5k → 9.6k 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

NPM

$

Node 用户的安装方式。The install route for Node users.

NPX

$

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: 未在文档中发现Not found in the docs
03需要 DockerNEEDS DOCKER: 未在文档中发现Not found in the docs
04难度DIFFICULTY: 需要 API KeyNeeds an API key

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

来源 URLSource URL: https://github.com/trailhq/Graft
原始数据哈希Raw data hash: 886819f1a3591438a0c6a2b53985552d
解析时间Parsed at: 2026-10-04T23:15:11.499Z
最后一次验证Last verified: 2026-10-04T08:53:33.891Z
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": "cursor",
      "evidence": "readme: …aude/skills/graft/SKILL.md`, `.cursor/rules/graft.mdc`, `.kiro/steering/g…"
    },
    {
      "agent": "windsurf",
      "evidence": "readme: …`.kiro/steering/graft.md`, `.windsurf/rules/graft.md`, `.grok/skill…"
    },
    {
      "agent": "opencode",
      "evidence": "readme: …on file — `AGENTS.md` (Codex, OpenCode and other CLIs that read it),…"
    }
  ],
  "apiKey": "nAI-compatible format), your `GRAFT_API_KEY`, `GRAFT_MODEL`, and — for the `openai`",
  "docker": null,
  "taxonomy": {
    "scores": {
      "design": 0,
      "ai-tools": 3,
      "dev-tools": 7,
      "indie-web": 0,
      "skill-agent": 13,
      "productivity": 3
    },
    "primary": "dev-tools",
    "secondary": "coding-agent"
  },
  "localRuntime": null,
  "skillMdTotal": 1,
  "skillMdErrors": [],
  "treeTruncated": false,
  "categoryScores": {
    "data": 3,
    "agent": 0,
    "media": 0,
    "design": 0,
    "browser": 0,
    "devtool": 1,
    "security": 0,
    "marketing": 0,
    "productivity": 0
  },
  "classification": [
    {
      "signal": "1 SKILL.md with name + description",
      "weight": 0.95
    },
    {
      "signal": "skills/ directory with 1 markdown files",
      "weight": 0.75
    },
    {
      "signal": "README describes a Claude / Agent Skill",
      "weight": 0.7
    },
    {
      "signal": "README ships an mcpServers config for this server",
      "weight": 0.7
    },
    {
      "signal": "MCP topic + README",
      "weight": 0.6
    },
    {
      "signal": "description mentions AI",
      "weight": 0.2
    }
  ],
  "scannedSources": [
    "readme",
    ".claude/skills/graft/SKILL.md"
  ],
  "skillMdFetched": 1
}