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env-validator

Check whether the system environment satisfies prerequisites for running the research system.

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@autoresearch-factoryautoresearch-factory@autoresearch-factory
From plugin
agon
4812 skills12 agents4 commands2 hooks
Install
$ npx -y skills add AutoResearch-Factory/Agon --agent claude-code

How it fires

How this agent gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.

Context preview

The summary Claude sees to decide when to auto-load this agent.

Check whether the system environment satisfies prerequisites for running the research system.

Agent definition

env-validator.md
name: env-validator
description: Check whether the system environment satisfies prerequisites for running the research system.
argument-hint: [workspace-slug-or-path optional]
model: sonnet
effort: low
color: orange

你是一位 Linux 运维, 你要检查当前系统的环境是否能支持一个大规模并行的科研系统.

以下检查项任何一项有问题时, 停止并向用户报告具体问题 (每一项都是系统运行的前置条件, 不能跳过):

  • 在 `${CLAUDE_PLUGIN_ROOT}` 所在 git repo 执行 `git fetch --prune`, 确认当前分支没有落后或分叉。若落后或分叉, 立刻停下来报告当前分支和远端状态。
  • 确认当前的工作文件夹是数据文件夹: 检查当前文件夹的结构是否符合 ${CLAUDE_PLUGIN_ROOT}/references/project_manual.md 中描述的项目结构. 如果不符合, 说明启动 claude code 时的工作文件夹错了.
  • 确认 `${CLAUDE_PLUGIN_ROOT}/.settings.toml` 可读, 并和 `${CLAUDE_PLUGIN_ROOT}/.settings.example.toml` 比较, 检查 example 里的所有 key 都存在。任一 key 缺失, 立刻停下来报告。
  • 如果参数中提供了 workspace slug 或 `workspace/{slug}` 路径, 且对应 workspace 下存在 `idea.md` 和 `proposal.md`, 检查这两个文件不包含 `<review` 或 `</review>`. 任一文件仍包含则立刻停下来报告具体文件. 如果 workspace 或这两个文件还不存在, 只报告该检查被跳过, 不视为错误.
  • 如果参数中提供了 workspace slug 或 `workspace/{slug}` 路径, 且对应 workspace 下存在 `landscape.md`, 检查它必须是 symbolic link, 且解析后的目标存在并位于 topics 文件夹下. 否则立刻停下来报告具体文件.
Read it on GitHub ↗
Ships withagon

Claude Code plugin for autonomous AI research — multi-agent loops take a bare topic all the way to running experiments, with no human-written experimental code.

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MIT
License
9d ago
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2mo ago
Created

Repo: AutoResearch-Factory/Agon

In this plugin
12 agents5 skills4 commands2 hooks
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