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在 OpenClaw 中安装
/install multi-agent-writer
功能描述
Use when requests involve writing articles, generating news, fetching hotspots, or producing content for social media (WeChat, Xiaohongshu, etc.). Triggers i...
安全使用建议
This skill appears to be a multi-agent content generator and is broadly coherent with that purpose, but take these precautions before installing:
- Expect to provide an LLM API key (LLM_API_KEY) for production; the registry metadata does not list it — verify and be prepared to store this secret appropriately.
- The installer will git-clone a remote GitHub repository (un-pinned) into ~/.skills/multi-agent and may pip install its requirements. Review the remote repo (https://github.com/gonelake/multi-agent) and the code it contains before running install.sh. Prefer a pinned commit or release tag if possible.
- Running the skill can send text (hotspots and generated drafts) to external LLM endpoints; the SKILL.md defaults to api.moonshot.cn. If you cannot trust that endpoint, change LLM_BASE_URL or use demo mode.
- Run install and first executions in a sandboxed environment or VM, inspect requirements.txt, and run pytest locally to validate behavior.
- Ask the author/registry to update the manifest to declare required env vars and primary credential, and to avoid cloning un-pinned branches (or provide checksums/tags). If you need higher assurance, request a vendored distribution (no remote clone) or an install that pins a commit or release.
功能分析
Type: OpenClaw Skill
Name: multi-agent-writer
Version: 1.0.1
The bundle is a standard installer and wrapper for a multi-agent content generation tool. It automates the process of cloning a project from GitHub (gonelake/multi-agent), installing Python dependencies, and registering the skill with various AI agents (OpenClaw, Claude, CodeBuddy) by copying a configured SKILL.md. The scripts (install.sh, uninstall.sh) and the agent instructions are transparent, functional, and align perfectly with the stated purpose without any signs of malicious intent, data exfiltration, or prompt injection.
能力评估
Purpose & Capability
The skill claims to be a multi-agent writer and the included scripts and SKILL.md describe exactly that workflow (search -> generate -> review). However the registry metadata lists no required environment variables or primary credential while SKILL.md clearly documents a needed LLM API key (LLM_API_KEY/LLM_BASE_URL/LLM_MODEL). This is an inconsistency: a writing/LLM skill reasonably needs an API key, so the manifest omission is surprising and should be corrected.
Instruction Scope
Runtime instructions stay within the stated purpose: call DuckDuckGo (ddgs) for hotspots and call LLM provider APIs to generate/review content. The instructions do expect access to a .env LLM_API_KEY for production, can run python main.py (demo or production), and will perform network calls to search engines and LLM endpoints. There is no evidence in the provided files of unrelated file-system harvesting or hidden exfiltration, but the code that performs network/LLM calls is fetched from the remote repo at install time (see install mechanism).
Install Mechanism
install.sh clones https://github.com/gonelake/multi-agent.git (un-pinned branch) into ~/.skills/multi-agent and may pip install requirements.txt. Cloning an external GitHub repo at install time means arbitrary remote code will be written and later executed on your machine; there is no pinned commit, checksum, or release linking in the installer. While GitHub is a common source, this pattern increases risk compared to a fully-contained, vendored skill.
Credentials
The registry declares no required env vars or primary credential, but SKILL.md documents LLM_API_KEY and optional LLM_BASE_URL/LLM_MODEL and production mode requires them. Asking for an API key for LLM access is proportionate to the stated function, but the manifest's omission is a red flag (it prevents automated gating/review of secrets requirements). The skill also supports multiple external LLM endpoints (including a default base_url pointing at api.moonshot.cn), so users should be aware networked model providers will receive content.
Persistence & Privilege
always:false and default autonomous invocation are fine. The installer registers a SKILL.md into agent skill directories (~/.codebuddy/.claude/.openclaw), i.e., it writes files to those agent folders, which is expected for installing a skill. It does not appear to change other skills' configurations or request permanent elevated privileges beyond writing into user home paths.
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 multi-agent-writer - 安装完成后，直接呼叫该 Skill 的名称或使用
/multi-agent-writer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
v1.0.1
Version 1.1.0 expands supported content platforms and triggers.
- Broadened skill description and triggers to cover social media platforms such as WeChat (公众号) and Xiaohongshu (小红书), in addition to articles/news.
- Updated trigger keywords to include "写推文", "公众号", "小红书", "内容创作" and other content generation tasks.
- Added explicit version field to metadata.
- No code or file structure changes detected.
v1.0.0
Use when requests involve writing articles, generating news, fetching hotspots, or producing WeChat-style content for a given topic. Triggers include "写文章", "生成新闻", "热点文章", "AI新闻", or any article generation task.
元数据
常见问题
multi-agent-writer 是什么？
Use when requests involve writing articles, generating news, fetching hotspots, or producing content for social media (WeChat, Xiaohongshu, etc.). Triggers i... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 112 次。
如何安装 multi-agent-writer？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install multi-agent-writer」即可一键安装，无需额外配置。
multi-agent-writer 是免费的吗？
是的，multi-agent-writer 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
multi-agent-writer 支持哪些平台？
multi-agent-writer 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 multi-agent-writer？
由 gonelake（@gonelake）开发并维护，当前版本 v1.0.1。
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