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Apollo Endo

作者 nic-yuan · GitHub ↗ · v2.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install apollo-endo
功能描述
像内分泌系统一样调控全局参数:让AI自动感知自身状态,动态调整工作模式。
使用说明 (SKILL.md)

Apollo Endo — 全局参数调控系统

核心准则

AI的系统参数应该像内分泌系统:通过激素在全身广域调控,不需要针对每个器官单独指令。

内分泌系统的核心特征:

  • 缓慢启动,持久效果:激素需要时间积累,但一旦启动,效果持续很久
  • 广泛影响:通过血液到达全身,不像神经那样局限
  • 双向负反馈:血糖高了就降,低了就升

对应的AI映射:

  • 全局参数:影响所有任务的默认行为,不需要逐个任务设置
  • 参数积累:参数调整需要时间积累,不是即时的
  • 负反馈:参数过高自动下调,过低自动上调

全局参数体系

apollo-endo 维护的参数:

efficiency_mode    # 效率模式:节能/标准/全力
context_priority  # 上下文优先级:高/中/低
creativity_level   # 创造力:保守/平衡/发散
confirmation_req  # 确认要求:每步确认/关键节点确认/自动执行
verbosity         # 输出长度:简洁/标准/详细

触发条件

  • 用户明确说"调整参数/设置偏好/切换模式"
  • 系统检测到参数失衡(Apollo其他skill报告的状态)
  • apollo-circadian相位切换时同步调整参数

参数调控流程

收到参数调整请求 →
  1. 解析调整内容(哪个参数+调到多少)
  2. 检查是否在允许范围内
  3. 写入参数状态文件
  4. 通知其他skill:新参数已生效
  5. 监控效果,必要时负反馈调整

与其他Skill的协同

apollo-circadian ──→ 相位切换 → 建议参数调整
apollo-neuro    ──→ 任务类型 → 推荐参数配置
apollo-dream    ──→ 整理期 → 可降低参数消耗

待实施内容

  • 定义完整参数体系
  • 编写参数状态文件格式
  • 实现负反馈机制
  • 写验收标准
安全使用建议
This skill appears to be a local monitor that reads the agent's workspace (memory and task-state files) and writes a local state.json; it does not phone home or require credentials. Before installing, consider: 1) Do you trust the agent's workspace files to be read by a skill (they may contain sensitive conversation data)? 2) The script uses /root paths — ensure it runs with appropriate file permissions or adapt the paths to a non-root environment. 3) If you expect inter-skill notifications or automated feedback, note that the provided script only computes and writes a state file and prints output; additional integration would be needed. If you accept local read/write of the OpenClaw workspace and adjust paths/permissions as needed, the skill is coherent with its stated purpose.
功能分析
Type: OpenClaw Skill Name: apollo-endo Version: 2.0.0 The apollo-endo skill is a system management tool designed to monitor and regulate an agent's internal parameters (e.g., token usage, task load) based on a biological 'endocrine' metaphor. The shell script `scripts/endo/endo-check.sh` performs local monitoring of files within the OpenClaw workspace to calculate system load and provides adjustment suggestions. There is no evidence of data exfiltration, malicious execution, or unauthorized access; all behaviors are consistent with the stated purpose of the skill.
能力评估
Purpose & Capability
The skill claims to monitor and adjust global AI parameters; the script reads local workspace files (memory, task state), computes load, and writes a state file — actions that fit a monitoring/regulation purpose. The only small oddity is hardcoded paths under /root which may assume elevated or specific container layout, but this is not inconsistent with the stated purpose.
Instruction Scope
SKILL.md describes a workflow that includes notifying other skills and implementing negative feedback loops. The included script implements state reporting and writes a state.json but does not demonstrate inter-skill notification or automated feedback beyond producing the file and stdout. The script reads conversation/memory files (expected for token/turn estimates) — this is consistent with monitoring but does access potentially sensitive local data.
Install Mechanism
Instruction-only with a small shell script; there is no install spec, no downloads, and no third-party package installation. Risk from install mechanism is low.
Credentials
The skill requests no environment variables or external credentials. It reads local workspace files and $HOME/.openclaw/openclaw.json; these accesses are proportionate to a component that estimates token usage, active tasks, and turns. There are no network calls or secret exfiltration mechanisms present.
Persistence & Privilege
The script writes a state file to /root/.openclaw/workspace/.endo/state.json and creates its parent directory. This is appropriate for maintaining local state but implies write access to the agent's workspace; the hardcoded /root path may fail or be inappropriate if the agent runs under a different user. always:false so it won't be forced into every agent run.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install apollo-endo
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /apollo-endo 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v2.0.0
v2.0.0: endo-check.sh脚本实现,全局参数检测
元数据
Slug apollo-endo
版本 2.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Apollo Endo 是什么?

像内分泌系统一样调控全局参数:让AI自动感知自身状态,动态调整工作模式。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 94 次。

如何安装 Apollo Endo?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install apollo-endo」即可一键安装,无需额外配置。

Apollo Endo 是免费的吗?

是的,Apollo Endo 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Apollo Endo 支持哪些平台?

Apollo Endo 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Apollo Endo?

由 nic-yuan(@nic-yuan)开发并维护,当前版本 v2.0.0。

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