# Send Mission Control to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - Download the package from Yavira. - Extract it into a folder your agent can access. - Paste one of the prompts below and point your agent at the extracted folder. ## Suggested prompts ### New install ```text I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete. ``` ### Upgrade existing ```text I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "mission-control", "name": "Mission Control", "source": "tencent", "type": "skill", "category": "开发工具", "sourceUrl": "https://clawhub.ai/rdsthomas/mission-control", "canonicalUrl": "https://clawhub.ai/rdsthomas/mission-control", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/mission-control", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=mission-control", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "CHANGELOG.md", "README.md", "SKILL.md", "assets/data/crons.json", "assets/data/tasks.json", "assets/data/version.json" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-04-30T16:55:25.780Z", "expiresAt": "2026-05-07T16:55:25.780Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network", "contentDisposition": "attachment; filename=\"network-1.0.0.zip\"", "redirectLocation": null, "bodySnippet": null }, "scope": "source", "summary": "Source download looks usable.", "detail": "Yavira can redirect you to the upstream package for this source.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/mission-control" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] } }, "links": { "detailUrl": "https://openagent3.xyz/skills/mission-control", "downloadUrl": "https://openagent3.xyz/downloads/mission-control", "agentUrl": "https://openagent3.xyz/skills/mission-control/agent", "manifestUrl": "https://openagent3.xyz/skills/mission-control/agent.json", "briefUrl": "https://openagent3.xyz/skills/mission-control/agent.md" } } ``` ## Documentation ### Mission Control — Task Management for AI Assistants A Kanban-style task board that you (the AI assistant) manage. Your human creates and prioritizes tasks via the web dashboard; you execute them automatically when they're moved to "In Progress". ### 🚀 Quick Start Just say: "Set up Mission Control for my workspace" The agent will: Check prerequisites (Tailscale, gh CLI) Copy dashboard files to your workspace Create the config file (~/.clawdbot/mission-control.json) Install the webhook transform Set up GitHub webhook Push to GitHub and enable Pages That's it. The agent handles everything. ### Prerequisites Before setup, you need: RequirementCheckInstallTailscaletailscale statusbrew install tailscale or tailscale.com/downloadTailscale Funneltailscale funnel statustailscale funnel 18789 (one-time)GitHub CLIgh auth statusbrew install gh && gh auth login If any are missing, tell the agent — it will guide you through installation. ### How It Works Dashboard — Web UI hosted on GitHub Pages where humans manage tasks Webhook — GitHub sends push events to Clawdbot when tasks change Transform — Compares old vs new tasks.json, detects status changes Auto-Processing — When a task moves to "In Progress", the agent starts working ### The Flow Human moves task → GitHub push → Webhook → Transform → Agent receives work order ↓ ↓ Dashboard Executes task ↓ ↓ Agent updates status ← Commits changes ← Marks subtasks done ←─┘ ### Task Structure Tasks live in /data/tasks.json: { "id": "task_001", "title": "Implement feature X", "description": "Detailed context for the agent", "status": "backlog", "subtasks": [ { "id": "sub_001", "title": "Research approach", "done": false }, { "id": "sub_002", "title": "Write code", "done": false } ], "priority": "high", "dod": "Definition of Done - what success looks like", "comments": [] } ### Status Values StatusMeaningpermanentRecurring tasks (daily checks, etc.)backlogWaiting to be worked onin_progressAgent is working on thisreviewDone, awaiting human approvaldoneCompleted and approved ### CLI Commands Use /scripts/mc-update.sh for task updates: # Status changes mc-update.sh status review mc-update.sh status done # Comments mc-update.sh comment "Progress update..." # Subtasks mc-update.sh subtask sub_1 done # Complete (moves to review + adds summary) mc-update.sh complete "Summary of what was done" # Push to GitHub mc-update.sh push "Commit message" ### Agent Workflow When you receive a task (moved to "In Progress"): Read — Check title, description, subtasks, dod Mark started — mc-update.sh start Execute — Work through subtasks, mark each done Document — Add progress comments Complete — mc-update.sh complete "Summary" ### Handling Rework If a completed task is moved back to "In Progress" with a new comment: Read the feedback comment Address the issues Add a comment explaining your changes Move back to Review ### EPICs EPICs are parent tasks with multiple child tickets. When you receive an EPIC: Child tickets are listed in the subtasks (format: MC-XXX-001: Title) Work through them sequentially (1 → 2 → 3...) After each child: comment result, set to "review", mark EPIC subtask done After last child: set EPIC to "review" ### Heartbeat Integration Add to your HEARTBEAT.md: ## Task Check 1. Check \`data/tasks.json\` for tasks in "in_progress" 2. Flag tasks with \`processingStartedAt\` but no recent activity 3. Check "review" tasks for new feedback comments ### Configuration Config lives in ~/.clawdbot/mission-control.json. See assets/examples/CONFIG-REFERENCE.md for all options. Minimal config (set by agent during setup): { "gateway": { "hookToken": "your-token" }, "workspace": { "path": "/path/to/workspace" }, "slack": { "botToken": "xoxb-...", "channel": "C0123456789" } } ### Troubleshooting See docs/TROUBLESHOOTING.md for common issues: Dashboard shows sample data → Connect GitHub token Webhook not triggering → Check Tailscale Funnel Changes not appearing → GitHub Pages cache (wait 1-2 min) ### Security Mission Control is a task management system for AI agents — its core purpose is to pass human-authored task descriptions to an agent for execution. This is by design, not a vulnerability. ### Trust Model Single-user / trusted-user setup: Task authors are the same people who control the agent. The trust boundary is identical to typing a message directly to your assistant. Multi-user setups: If multiple users can create tasks on the dashboard, treat task content as untrusted input. Use Clawdbot's agent sandbox and permission model to limit what the agent can do. ### Mitigations Input sanitization: mc-update.sh validates all inputs against injection patterns before passing them to Python or git. No credential storage: The dashboard stores no tokens or secrets — all auth is handled by Clawdbot's config. Webhook HMAC verification: The transform module validates webhook signatures using timingSafeEqual to prevent tampering. Security scan on sync: The sync-to-opensource.sh script scans for leaked credentials before publishing. ### Recommendations Keep your dashboard repository private if you don't want others to see your task data. Review task descriptions before moving them to "In Progress" if the task was created by someone else. Use Clawdbot's groupPolicy and allowFrom settings to restrict who can interact with the agent. ### Files FilePurpose/index.htmlDashboard UI/data/tasks.jsonTask data/scripts/mc-update.shCLI tool~/.clawdbot/mission-control.jsonConfig~/.clawdbot/hooks-transforms/github-mission-control.mjsWebhook transform ## Trust - Source: tencent - Verification: Indexed source record - Publisher: rdsthomas - Version: 2.3.1 ## Source health - Status: healthy - Source download looks usable. - Yavira can redirect you to the upstream package for this source. - Health scope: source - Reason: direct_download_ok - Checked at: 2026-04-30T16:55:25.780Z - Expires at: 2026-05-07T16:55:25.780Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/mission-control) - [Send to Agent page](https://openagent3.xyz/skills/mission-control/agent) - [JSON manifest](https://openagent3.xyz/skills/mission-control/agent.json) - [Markdown brief](https://openagent3.xyz/skills/mission-control/agent.md) - [Download page](https://openagent3.xyz/downloads/mission-control)