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openclaw-collaboration
作者
fish1981bimmer
· GitHub ↗
· v1.0.0
· MIT-0
53
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install openclaw-collaboration
功能描述
Hermes 与本地 OpenClaw 协同工作方案 — 共享记忆、API互调、任务分工
安全使用建议
This SKILL.md is a how-to for making Hermes and a local OpenClaw instance cooperate, and it tells the agent to read/write ~/.openclaw files, call /usr/local/bin/openclaw, access a local gateway (token-auth), and interact with an external NVIDIA API. Before installing or enabling this skill: 1) Understand it is instruction-only — nothing is installed, but the agent may execute those commands on your machine if allowed. 2) Ask the skill author to declare required binaries, config paths, and exactly which credentials (gateway token, NVIDIA API key) are needed and how they will be used. 3) If you enable it, prefer manual invocation or run the agent in a restricted/sandboxed environment; back up ~/.openclaw first. 4) If you don't want the agent to modify files, deny it write access to the OpenClaw workspace and only allow read-only operations or use the official OpenClaw API with explicit auth. 5) If you need higher assurance, request the skill add checks to avoid concurrent writes (file locking) and explicit prompts before editing configs or restarting services.
能力评估
Purpose & Capability
The skill's name and description (Hermes ↔ local OpenClaw collaboration) align with the SKILL.md content: it documents shared memory, openclaw agent CLI calls, gateway health checks, and model/provider notes. However the manifest declares no required binaries/config paths/credentials while the instructions assume /usr/local/bin/openclaw, ~/.openclaw/* paths, a gateway on localhost:18789 and NVIDIA API access; those omissions are an inconsistency (the skill should list these as requirements).
Instruction Scope
SKILL.md explicitly tells the agent to read/write the OpenClaw workspace (~/.openclaw/workspace), edit ~/.openclaw/openclaw.json, tail logs, kill and restart gateway processes, and invoke the openclaw CLI. These are direct file/command operations on user-local state and may access credentials or sensitive config. The instructions also reference gateway token authentication and an external NVIDIA API endpoint, but do not specify how tokens/credentials are provided or protected.
Install Mechanism
There is no install spec and no code files — this is instruction-only. That reduces supply-chain risk (nothing to download/execute on install). The runtime risk comes from the agent following the provided commands on the host.
Credentials
The skill declares no required env vars or credentials, yet the text references token-auth for a local gateway and use of the NVIDIA API (which typically requires credentials). It also assumes presence of specific config files and a local openclaw binary. Requesting or using gateway/NVIDIA credentials would be proportionate for this purpose, but the skill fails to declare them or explain where/how they are obtained — a transparency gap that could lead to accidental credential access/exfiltration if the agent is allowed to run these steps autonomously.
Persistence & Privilege
always is false (no force inclusion). Model invocation is allowed (normal default). Because the skill can instruct the agent to operate on local files and run system commands, autonomous invocation increases blast radius — but that alone is not uncommon for an integration guide. The combination of autonomous invocation with file and credential operations (and the lack of declared safeguards) is why caution is advised.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install openclaw-collaboration - 安装完成后，直接呼叫该 Skill 的名称或使用
/openclaw-collaboration触发 - 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
v1.0.0
Hermes与OpenClaw协同工作方案 - 共享记忆、API互调、任务分工
元数据
常见问题
openclaw-collaboration 是什么？
Hermes 与本地 OpenClaw 协同工作方案 — 共享记忆、API互调、任务分工. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 53 次。
如何安装 openclaw-collaboration？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install openclaw-collaboration」即可一键安装，无需额外配置。
openclaw-collaboration 是免费的吗？
是的，openclaw-collaboration 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
openclaw-collaboration 支持哪些平台？
openclaw-collaboration 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 openclaw-collaboration？
由 fish1981bimmer（@fish1981bimmer）开发并维护，当前版本 v1.0.0。
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