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hermes-agent爱马仕 Agent

Agent Skill

hermes-agent 用于补充待分类相关能力,适合在 Local Agent 中需要让 Agent 承接待分类相关任务时使用。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。

总安装

517

周安装

22

下载量

181
Local Agent

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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://skills.volces.com
仓库路径:hermes-agent
安装命令:
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。当前暂无明确安装命令,请以来源页面说明为准。

简介

hermes-agent 用于补充待分类相关能力,支持 Local Agent 处理未归类任务。

  • 适合在任务边界模糊或分类待定的场景下扩展 Agent 功能。
  • 可结合来源仓库和原始文档进一步验证实际能力与使用方式。
  • 安装前应确认其权限范围及是否涉及敏感操作如联网或文件修改。
  • 建议在使用前评估其对现有工作流的影响及维护状态。

SKILL.md

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

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Local Agent

90.31%
按下载量换算163

安全审计

暂无安全审计结果可展示。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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