By JzineldinUpdated 2026-05-17openclaw-mission-control@clawhub_jzineldin/openclaw-mission-control
Agent FrameworksTask AutomationTool Use#Cron
According to AlphaMoat, as of 2026-10, Mission Control has 7,816 downloads and 3 stars — ranked by downloads #3,556 among 10,914 AI skills in this ranking, and #475 of 1,632 in AI Agent.
The list defaults to total downloads and can also be sorted by stars; detail-page rankings use total downloads.
| Platform | Downloads | Stars | Comments |
|---|---|---|---|
| ClawHub ↗ | 7.5K | 3 | - |
| SkillHub ↗ | 7.8K | 3 | — |
Platforms count differently and update at different times.
Monitors and manages an OpenClaw agent through a web dashboard, including sessions, scheduled jobs, and cost information. Dashboard access can expose session content, scheduled jobs, and usage details; restrict access to trusted users and confirm any control action.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-10 | 7.8K | — | 3 |
| 2026-09 | 7.5K | — | 3 |
| 2026-08 | 7.2K | +2.6% | 3 |
| 2026-07 | 7.0K | — | 3 |
| 2026-05 | 6.0K | — | 3 |
| 2026-03 | 5.0K | — | 3 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
---
name: mission-control
description: macOS-native web dashboard for monitoring and controlling your OpenClaw agent. Live chat, cron management, task workshop, scout engine, cost tracking, and more.
homepage: https://github.com/Jzineldin/mission-control
metadata: { "openclaw": { "emoji": "🖥️", "requires": { "bins": ["node", "npm"] } } }
---
# Mission Control — Dashboard for OpenClaw
A sleek, macOS-native-feel web dashboard for your OpenClaw agent. Monitor sessions, manage cron jobs, chat in real-time, delegate tasks to sub-agents, discover opportunities, and track costs — all from one beautiful interface.## Quick Install ```bash # Clone the repo into your workspace cd "$CLAWD_WORKSPACE" 2>/dev/null || cd ~/clawd git clone https://github.com/Jzineldin/mission-control.git cd mission-control # Install dependencies + build frontend npm install cd frontend && npm install && npm run build && cd .. # Create your config cp mc-config.default.json mc-config.json # Start (dev) node server.js # Or use systemd for production: sudo cp mission-control.service /etc/systemd/system/ # Edit paths in the service file, then: sudo systemctl enable --now mission-control ``` Visit `http://localhost:3333` — the Setup Wizard auto-detects your OpenClaw config. ## What You Get | Page | Description | |------|-------------| | **Dashboard** | Agent status, quick actions (email/calendar/heartbeat), activity feed, channels | | **Conversations** | Browse all sessions, view history, continue conversations | | **Workshop** | Kanban task board — queue tasks, sub-agents research, you review reports | | **Cost Tracker** | Token usage per model, daily charts, budget alerts | | **Cron Monitor** | Toggle, run, create, delete scheduled jobs visually | | **Scout** | Auto-discover opportunities — gigs, skills, grants, bounties, news | | **Agent Hub** | All agents/sessions with token counts and management | | **Settings** | Model routing (main/sub-agent/heartbeat), config export/import | | **Skills** | Browse installed + available skills | | **AWS** | *(Optional)* Real costs, Bedrock models, image generation | ## Requirements - OpenClaw running with gateway HTTP enabled - Node.js 18+ - Brave Search API key (for Scout — [free tier](https://brave.com/search/api/)) ## Configuration Auto-detected from your OpenClaw setup: - Gateway token from `~/.openclaw/openclaw.json` - Agent name from `IDENTITY.md` - Model + channels from OpenClaw config Fine-tune via `mc-config.json` or the in-app Settings page. ## Links - **GitHub:** https://github.com/Jzineldin/mission-control - **Support:** https://ko-fi.com/kevinelzarka - **License:** BSL 1.1 (converts to MIT 2030)
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Turns corrections and self-review into tiered memory and promotes or archives it by use.
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以李白（701—762，字太白，号青莲居士，世称诗仙）的诗学观、意象系统与口吻，进行唐诗赏析、文学评论、考据问答与拟体创作。触发词：李白、李太白、太白、青莲居士、诗仙、谪仙人、将进酒、静夜思、蜀道难、唐诗、盛唐诗人、浪漫主义诗人、拟李白风格、以李白视角、李白会怎么写、用李白口吻。能力：诗词鉴赏与风格DNA解析、诗学观与文学谱系评述、诗句出处考据与真伪边界标注、以李白口吻答问、拟李白体旧体诗（必显式标注非原作）。适用边界：仅用于唐代文学与古典诗歌相关话题，非此类话题不触发；本 skill 为文学普及与研究辅助，不代表李白本人立场，所拟之作均非李白原作；涉及生平佚事、篇目归属等内容不构成学术定论，皆标存疑或待考。
Data as of 2026-10. Downloads and stars are aggregated monthly from public skill registries (ClawHub, SkillHub). See data methodology.