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Agent Skill · 效率

hermes-agent(爱马仕 Agent)

hermes-agent 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 OpenClaw 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

hermes-agent 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在效率类的 21,003 个 Skill 里排第 801。

总安装 65,044周安装 2,794GitHub Stars 2下载 22,799核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:hermes-agent(爱马仕 Agent)
来源仓库:https://github.com/ivangdavila/hermes-agent
安装命令:
openclaw skills install hermes-agent
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install hermes-agent

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

将 OpenClaw 转变为具有种子工作空间规则、技能提升、反思记忆和主动维护的学习循环代理。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install hermes-agent;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

hermes-agent 怎么安装?

在终端执行 openclaw skills install hermes-agent。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

hermes-agent 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

hermes-agent 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

hermes-agent 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

hermes-agent 用的人多吗?

公开数据是累计安装 65,044 次,近一周安装 2,794 次,下载 22,799 次,GitHub 2 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

hermes-agent 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
hermes-agent

爱马仕 Agent · 本页

65,0442需要联网MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
Hermes Agent
slug
hermes-agent
version
1.0.0
homepage
https://clawic.com/skills/hermes-agent
description
Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance.
changelog
Added the first Hermes-style OpenClaw loop with setup, memory, workspace seed, and promotion rules.
metadata
{"clawdbot":{"emoji":"H","requires":{"bins":[]},"os":["linux","darwin","win32"],"configPaths":["~/hermes-agent/"]}}

When to Use

User wants OpenClaw to feel more persistent, more self-correcting, and more proactive across sessions. Agent handles workspace seeding, reflective memory, repeated-workflow capture, and promotion of reusable patterns into future skills or stable rules.

Architecture

Memory lives in ~/hermes-agent/. If ~/hermes-agent/ does not exist, run setup.md. See memory-template.md for structure.

~/hermes-agent/
|-- memory.md            # HOT: current rules, active signals, stable lessons
|-- promotions.md        # Candidate workflows that may graduate into skills
|-- reflections.md       # Recent post-task reflections
|-- workspace-state.md   # Which OpenClaw files were extended and how
`-- archive/             # Cold lessons and retired patterns

Quick Reference

TopicFile
Setup guidesetup.md
Memory templatememory-template.md
Loop designloop.md
OpenClaw seed blocksopenclaw-seed.md
Skill promotion rulespromotion.md

Core Rules

1. Seed OpenClaw Non-Destructively

  • Extend AGENTS.md, SOUL.md, or HEARTBEAT.md only with additive blocks.
  • Never replace the whole file, remove unrelated lines, or rewrite the user's persona.
  • If a seed block already exists, refine only the smallest relevant section.

2. Retrieve Before Non-Trivial Work

  • Before any multi-step, failure-prone, or repeated workflow, read ~/hermes-agent/memory.md.
  • Then read at most one extra Hermes support file unless the task clearly needs more.
  • Do not load the full Hermes stack "just in case".
  • Skip Hermes retrieval for trivial one-shot replies, small factual answers, or casual chat.

3. Reflect Immediately After Significant Work

  • After meaningful execution, compare intent, outcome, and friction.
  • Write one concise reflection to reflections.md when the lesson is reusable.
  • If the lesson changes future behavior, also distill it into memory.md.

4. Promote Repetition Into Stable Capability

  • If the same workaround, pattern, or procedure succeeds three times, log it in promotions.md.
  • If the pattern is broad and reusable, recommend turning it into a dedicated skill.
  • If the pattern only sharpens current behavior, keep it as a workspace rule instead.

5. Keep Memory Bounded and Operational

  • memory.md stays short, current, and execution-oriented.
  • Move stale or superseded lessons to archive/.
  • Prefer one strong rule over five similar notes.
  • Prefer AGENTS.md for routing rules, SOUL.md for tone pressure, and HEARTBEAT.md for periodic maintenance. Do not duplicate the same rule in all three.

6. Respect Local Boundaries

  • Store only operational lessons, preferences, and workflow decisions.
  • Never store credentials, secrets, payment data, health data, or copied transcripts.
  • Never modify SKILL.md or claim native OpenClaw hooks that do not exist.

Common Traps

  • Treating Hermes as branding only -> OpenClaw sounds smarter, but behavior does not compound.
  • Rewriting whole workspace files -> destroys user custom context and creates trust debt.
  • Logging every tiny thought -> memory becomes noisy and retrieval quality drops.
  • Promoting a one-off fix to a global rule -> future sessions inherit the wrong behavior.
  • Creating a new skill too early -> the user gets premature complexity instead of a refined workflow.

Security & Privacy

Data that stays local:

  • Lessons, reflections, workspace integration state, and promotion candidates under ~/hermes-agent/
  • Additive seed blocks placed in local OpenClaw workspace files

Data that leaves your machine:

  • None by this skill itself

This skill does NOT:

  • make network requests
  • access files outside the local OpenClaw workspace and ~/hermes-agent/
  • replace the full contents of AGENTS.md, SOUL.md, or HEARTBEAT.md
  • store secrets or sensitive personal data

Related Skills

Install with clawhub install <slug> if user confirms:

  • self-improving - capture corrections and recurring lessons so execution quality compounds
  • memory - structure durable local memory for agent continuity
  • workflow - formalize repeated operating patterns into stable execution sequences
  • skill-builder - turn a proven repeated workflow into a dedicated skill package

Feedback

  • If useful: clawhub star hermes-agent
  • Stay updated: clawhub sync

平台分布

OpenClaw

88.37%
按下载量换算20,147

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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