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Ops Deck
作者
Solomon Neas
· GitHub ↗
· v1.1.0
· MIT-0
178
总下载
0
收藏
1
当前安装
4
版本数
在 OpenClaw 中安装
/install ops-deck
功能描述
Full operational dashboard for AI agent setups. Cron job calendar, agent intel feeds, security audit panel, network infrastructure map, code search, repo arc...
安全使用建议
This skill is an instructions-only guide for a local dashboard and appears internally consistent, but take these precautions before running anything:
- Inspect the full SKILL.md and any installation/setup scripts (the provided copy is truncated). Confirm there are no hidden network calls, telemetry, or unexpected remote downloads in scripts you run.
- Treat the dashboard as a potential aggregator of sensitive data. Only place agent config files, cron/journal JSONs, or repo data into its data directory after reviewing them for secrets (API keys, private SSH keys, credentials, tokens, identity material).
- Run the services locally on an isolated machine or VM and do not expose the API/ports to the public internet unless you add proper authentication and firewall rules.
- Review any example cron scripts before installing them; the project claims automation is optional and that you should review scripts — follow that guidance.
- Be aware pulling the embedding model (ollama pull qwen3-embedding:8b) will download large model artifacts and may have licensing/usage implications.
If you want higher confidence, ask the publisher for the full repository or the complete setup scripts so you (or an auditor) can review them before running installation commands or adding real agent/config data.
功能分析
Type: OpenClaw Skill
Name: ops-deck
Version: 1.1.0
The 'ops-deck' skill bundle is a legitimate developer tool for monitoring AI agent infrastructure. The documentation (SKILL.md) describes a local-only dashboard architecture using standard frameworks like Express, React, and FastAPI, and explicitly states that sensitive data collection (e.g., security audits) is opt-in and relies on user-generated JSON files rather than direct system access. No indicators of malicious intent, data exfiltration, or harmful execution were found.
能力评估
Purpose & Capability
The skill describes a local dashboard (UI + API + local code search) and the documented prerequisites (Node, Python, Ollama, PM2, SQLite) align with the claimed capabilities (Express API, FastAPI code search, local embeddings). It does not request unrelated credentials or unusual binaries.
Instruction Scope
SKILL.md repeatedly states the dashboard reads static JSON files you provide and does not run privileged system commands; that keeps scope narrow. However the dashboard is designed to display agent configuration files (AGENTS.md, SOUL.md, IDENTITY.md, etc.) and repo/cron data — those files often contain sensitive information, so you must control what is placed in the dashboard data directory. The setup text is truncated in the copy provided, so some implementation details (how/where files are read, whether any sample cron scripts include commands) are missing and should be inspected before use.
Install Mechanism
This is an instruction-only skill with no install spec and no code files; there is no automatic installer. The SKILL.md tells users to run standard package installs (npm, pip, ollama pull) themselves. That is lower risk than an automated download/install, but you should run those commands manually and inspect any scripts they reference.
Credentials
The skill declares no required environment variables or credentials, which matches its self-hosted local-first design. Still, it expects access to local JSON files and optionally to local git repos and an Ollama model — ensure these data sources do not contain secrets you wouldn't want aggregated into a single dashboard. The requirement to pull a local embedding model (qwen3-embedding:8b) is justified by the semantic code search but implies sizable local storage/network activity.
Persistence & Privilege
The skill is not always-enabled and uses normal autonomous invocation defaults. It does not declare actions that modify other skills or request system-wide privileges. Because it's instruction-only, it cannot force persistent system changes by itself; any persistent services will be created only if you run the provided setup (PM2, etc.).
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 ops-deck - 安装完成后,直接呼叫该 Skill 的名称或使用
/ops-deck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
v1.1.0
Added Memory Browser, Journal, and Workspace Config pages
v1.0.2
Added public OSS repo link
v1.0.1
Clarified that dashboard reads static JSON files only, no system commands or elevated privileges. Data collection is user-controlled and opt-in.
v1.0.0
Initial public release of ops-deck: a comprehensive, self-hosted operational dashboard for AI agent stacks.
- Combines cron job calendar, agent intel feeds, security audit panel, network infrastructure map, semantic code search, prompt library, and sprint backlog tracker in one UI.
- Local-only architecture with no cloud dependencies or telemetry; suitable for indie devs, small teams, and students.
- Includes modular Express/FastAPI backend, React+Vite frontend, and automated data refresh via cron jobs.
- Ships with clear API endpoints and setup instructions for quick deployment and customization.
元数据
常见问题
Ops Deck 是什么?
Full operational dashboard for AI agent setups. Cron job calendar, agent intel feeds, security audit panel, network infrastructure map, code search, repo arc... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 178 次。
如何安装 Ops Deck?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install ops-deck」即可一键安装,无需额外配置。
Ops Deck 是免费的吗?
是的,Ops Deck 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Ops Deck 支持哪些平台?
Ops Deck 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 Ops Deck?
由 Solomon Neas(@solomonneas)开发并维护,当前版本 v1.1.0。
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