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modelplan/modelplan

Which AI coding model, at which effort, on which plan? Recommended efforts, a leaderboard at those efforts…

装之前:没有可直接复制的命令 · 许可证 MIT · 链接可访问

第一步:npx skills add modelplan/modelplan

在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网
安装与配置
客户端配置(取自该仓库的安装命令)
{
  "mcpServers": {
    "modelplan-modelplan": {
      "command": "npx",
      "args": ["skills"]
    }
  }
}

解析自我们于 2026-11-04 抓取的该仓库 README;我们未执行过。

command/args 来自仓库写明的安装命令;不确定时请以该项目 README 为准。
VS Code(.vscode/mcp.json —— 键名是 servers)
{
  "servers": {
    "modelplan-modelplan": {
      "command": "npx",
      "args": ["skills"]
    }
  }
}
VS Code 顶层键是 <code>servers</code>,其余与上面那份相同。
Claude Code(命令行)
claude mcp add --transport stdio modelplan-modelplan -- npx skills
Claude Code 不收 JSON 文件,用这条命令直接加。
配置项的键名以你的客户端为准:客户端与 CLI
★ 数取值
41 ★ · modelplan/modelplan · 取自 GitHub 搜索 API · (2026-11-13 20:00:50 核对)
来源明细
从该仓库的 GitHub 页面直接读取 · 条目类型:开源项目
收录与活跃
收录于 2026-11-05 · 最近见到 2026-11-14 · 共见到 10 次 · 被 1 个来源列出
评分构成
综合分 103 · 41 ★ · 1 个来源 · repo
安装
npx skills
常见问题(答案都来自我们的记录)
怎么安装?
该仓库给出的安装命令是 npx skills。我们的记录里它是仓库自己提供的;不保证在你的客户端上直接可用。
它适合谁 / 用来做什么?
我们把它归在这些标签下: Agent 技能。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 modelplan/modelplan;我们收录于 2026-11-05;最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。

Which AI coding model should you use, at which reasoning effort, and is one more

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

ModelPlan answers from live, checkable public data, on the web and inside Claude Code, Codex and your terminal.
Website · Quick start · Screenshots · How it works · FAQ · Methodology · 简体中文
## Why ModelPlan
Choose an entry point: Mac App, plugins or Skill.
Most leaderboards compare every model at its top setting. But inside one model, going from Low to Max often costs several times more and takes several times longer, for a few points of ability. What you actually run is a model at an effort.
★ Recommended effort. Every model gets its best-value effort, and you see exactly what one more step up buys (+4.8 ability) and costs (×1.37).
A leaderboard at that effort. Models are ranked at their own ★ effort, the setup you would really use, with cost per reference coding task and task time beside ability. Outclassed models (costlier and no stronger) are called out, and if you are on one, the CLI tells you once what to switch to: Fable 5.1 → Opus 5.5 (+2.5 points at ×0.52), GPT-6 Astra → GPT-6.1 Sol (about the same at ×0.18).
Your own quota. The Skill and CLI read your local Claude Code and Codex 5-hour and weekly windows (never uploaded). The CLI also reads ZCode's and OpenCode's (V2) local databases, read-only, for tokens per day, session and project. The CLI also keeps a local history of how much of each window you used and under which model and effort (modelplan history), the basis for suggesting a default effort from your own weeks, and measures your own speed per model, effort and Fast: output tok/s, time to first token, turn time and tokens, against ★ (modelplan effort, modelplan history; read from the harness logs' timestamps and token counts only). Plenty left before a reset? Step up, or turn on Codex Fast. Tight, or a recent burst that would use it up within three hours? Stay at ★ or step down, with the time it runs out. After a reset, it reminds you once to go back to the model and effort you used before (and to turn Codex Fast off).
Gemini CLI local usage (optional). modelplan usage gemini enable allows read-only tokens/model/day/session accounting from Gemini’s own local chat history. modelplan usage gemini displays it; disable stops it. No credentials or remote quota are read, and no host is called. Missing counters stay --.
Other plans (optional). modelplan connect zai reads Z.ai / GLM Coding Plan usage natively, with the API key you keep in ZAIAPIKEY (--region bigmodel-cn for open.bigmodel.cn), modelplan connect opencodego reads OpenCode Go with OPENCODEAPIKEY, and modelplan connect kiro asks Kiro's own CLI (kiro-cli acp, no prompt sent; Kiro keeps its sign-in). Each key is sent only to its vendor's usage endpoint and never stored; modelplan connections shows which reader serves each plan. For the rest, modelplan codexbar enable cursor zai reads Copilot, Cursor, Z.ai / GLM, Kiro or OpenCode Go usage through the open-source CodexBar CLI, fetched at a pinned, checksum-checked release (macOS and Linux only). CodexBar keeps the sign-ins; this client keeps only percentages and reset times. Tell it which plan pays (modelplan declare zhipu-global-pro legacy-v2) and advice follows how that plan counts: on a per-request plan it never says step down, and points to the next off-peak hours instead.
收录徽章(可选)
想把收录标记放进 README 就复制这行,可选,不影响收录。
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来源
github · https://github.com/modelplan/modelplan
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