← Back to Skills Marketplace
dhawala4

Mission Control

by DhawalA4 · GitHub ↗ · v1.0.0
cross-platform ✓ Security Clean
553
Downloads
1
Stars
2
Active Installs
1
Versions
Install in OpenClaw
/install dhawala-mission-control
Description
CLI-first system health aggregator for autonomous AI agents. Query all agent processes, resources, cron jobs, and services in one shot. Use when a user asks...
README (SKILL.md)

Mission Control

Overview

Single-command health aggregator for autonomous AI infrastructure. Replaces checking 5+ separate tools by collecting agent status, resource health, cron jobs, and service state into one report.

Designed for operators running autonomous agents (OpenClaw daemons, AOMS, VPS workers) who need a fast answer to "is everything OK?"

Core Rules

  • Read-only by default. Only restart mutates state and requires confirmation.
  • Prefer --json output when piping to other tools or storing results.
  • Do not invent OpenClaw CLI flags. Use only documented commands.
  • When the user asks "what's running?" or "system status" - run mctl status for the full picture.

Commands

Full Status (default)

bash scripts/mctl.sh status

Returns: agents, resources (CPU/RAM/disk/GPU), cron jobs, services, OpenClaw status.

Agent List

bash scripts/mctl.sh agents

Detects running processes matching: openclaw daemon, openclaw gateway, and any process with "agent", "daemon", "worker", or "aoms" in its name. Shows PID and uptime.

Resource Health

bash scripts/mctl.sh health

CPU count, load average, RAM usage, disk usage, NVIDIA GPU (if present). Color-coded thresholds:

  • Green: \x3C60% usage
  • Yellow: 60-80%
  • Red: >80%

Cron Jobs

bash scripts/mctl.sh cron

Lists OpenClaw cron jobs via openclaw cron list.

Services

bash scripts/mctl.sh services

Checks systemd status for openclaw-gateway and openclaw-daemon. Also shows listening ports.

View Logs

bash scripts/mctl.sh logs [service-name]

Shows last 50 lines from the past hour for a systemd service. Defaults to openclaw-daemon.

Restart Service

bash scripts/mctl.sh restart \x3Cservice-name>

Restarts a systemd service. Requires sudo. Always confirm with the user before running.

JSON Output

Add --json to any command for machine-readable output:

bash scripts/mctl.sh --json status

Usage Examples

Quick daily check

User: "How's the system?"
Agent: runs `mctl status` and summarizes findings

Debug a slow agent

User: "Why is my daemon slow?"
Agent: runs `mctl health` to check resources, then `mctl logs openclaw-daemon`

Pre-deployment check

User: "Is everything healthy before I deploy?"
Agent: runs `mctl --json status`, checks for red flags, gives go/no-go

Automated monitoring via cron

# Add to openclaw cron for daily checks
openclaw cron add --name "mission-control:daily" \
  --schedule "0 8 * * *" \
  --command "bash ~/.openclaw/skills/mission-control/scripts/mctl.sh --json status > /tmp/mctl-status.json"

What Gets Checked

Check Source Threshold
Agent processes pgrep Any running = green
CPU load /proc/loadavg >CPUs = yellow
RAM free -m >80% = red
Disk df -h / >85% = red
GPU/VRAM nvidia-smi Optional
Cron openclaw cron list Shows schedule
Services systemctl active/failed
Ports ss -ltnp Informational

Installation

No external dependencies. Requires:

  • Bash 4+
  • Standard Linux utilities (ps, free, df, ss)
  • Optional: nvidia-smi for GPU, openclaw CLI for cron/status
# Install via ClawHub
clawhub install mission-control

# Or manually
cp -r . ~/.openclaw/skills/mission-control/
chmod +x ~/.openclaw/skills/mission-control/scripts/mctl.sh

Integration with OpenClaw

Works with the existing OpenClaw ecosystem:

  • openclaw cron - Schedule periodic health checks
  • openclaw status - Included in full status report
  • openclaw daemon - Monitored as an agent process
  • openclaw gateway - Service health checked

When to Use

  • Daily health checks for autonomous systems
  • Before deployments or major changes
  • Debugging performance issues
  • Quick "is everything running?" answer
  • Automated monitoring via cron
  • Post-incident verification

Differences from mission-control-dashboard

Feature mission-control (this) mission-control-dashboard
Interface CLI / agent skill Web UI (browser)
Use case Quick status queries Visual monitoring
Dependencies Bash only Python 3.8+
Real-time On-demand Polling dashboard
Best for AI agent queries Human visual monitoring

Use both together: this skill for agent-driven checks, the dashboard for visual monitoring.

Author

Built for autonomous infrastructure operations.

Price

Free on ClawHub

Tags

#monitoring #agents #health #cli #devops #automation #infrastructure #status

License

MIT

Usage Guidance
This skill appears to do what it says: local monitoring of OpenClaw-related processes, resources, cron jobs, and systemd services. Before installing: 1) Review the mctl.sh script yourself (it runs journalctl, systemctl, pgrep, etc.) if you have sensitive logs or process command-lines you don't want exposed. 2) Ensure the agent will ask you before performing a restart (restart uses sudo). 3) Because the agent can invoke skills autonomously by default, consider whether you trust the agent to run this tool without interactive approval — it only accesses local state and does not call external endpoints, but it can collect potentially sensitive local information. 4) Optionally test on a non-production host first. Minor note: some JSON output paths in the script look slightly buggy (harmless but may affect machine-readable output).
Capability Analysis
Type: OpenClaw Skill Name: dhawala-mission-control Version: 1.0.0 The 'mission-control' skill is a legitimate system health monitoring utility for OpenClaw agents. It uses standard Linux tools (pgrep, free, df, systemctl, journalctl) to aggregate resource usage, process status, and service health, with no evidence of data exfiltration, obfuscation, or unauthorized persistence in scripts/mctl.sh.
Capability Assessment
✓ Purpose & Capability
Name/description match the provided files: mctl.sh inspects processes, resources, cron entries, and services (including openclaw CLI calls). No unrelated credentials, downloads, or tools are requested. package.json points to the same script as main.
ℹ Instruction Scope
Runtime instructions and the script perform broad local reads (pgrep/ps, /proc/loadavg, free, df, systemctl, journalctl, ss, and optionally openclaw and nvidia-smi). This is expected for a monitoring tool, but those operations can reveal sensitive local information (process command lines, logs). The SKILL.md clearly documents the commands and requires confirmation for restart operations.
✓ Install Mechanism
No network install or external downloads; install is a local copy (clawhub or cp). No extract-from-URL or third-party package registries are used.
✓ Credentials
The skill declares no required environment variables or credentials and the script does not attempt to read secrets from unrelated env vars or config paths. It sets a temporary TMPDIR internally when producing JSON.
ℹ Persistence & Privilege
always:false and user-invocable:true (normal). The skill can be invoked autonomously by the agent (disable-model-invocation:false), which is platform default; combined with the ability to read logs/process lists, autonomous runs could expose system state without interactive user review. Restart requires sudo and the script documents confirmation is required.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install dhawala-mission-control
  3. After installation, invoke the skill by name or use /dhawala-mission-control
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Mission Control 1.0.0 – Initial Release - Introduces a CLI-first system health aggregator for autonomous AI agents. - Allows one-command checks for agent status, resources, cron jobs, and service states. - Includes detailed commands for full status, agent/process listing, resource health, cron jobs, service checks, log viewing, and controlled service restarts. - Supports machine-readable output via a `--json` flag. - Designed for seamless integration with OpenClaw and automated monitoring setups. - No external dependencies beyond standard Linux utilities and optional GPU/OpenClaw CLI tools.
Metadata
Slug dhawala-mission-control
Version 1.0.0
License —
All-time Installs 2
Active Installs 2
Total Versions 1
Frequently Asked Questions

What is Mission Control?

CLI-first system health aggregator for autonomous AI agents. Query all agent processes, resources, cron jobs, and services in one shot. Use when a user asks... It is an AI Agent Skill for Claude Code / OpenClaw, with 553 downloads so far.

How do I install Mission Control?

Run "/install dhawala-mission-control" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Mission Control free?

Yes, Mission Control is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Mission Control support?

Mission Control is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Mission Control?

It is built and maintained by DhawalA4 (@dhawala4); the current version is v1.0.0.

More Skills
self-improving agent
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
⬇ 463942 · by pskoett
Skill Vetter
Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns.
⬇ 259883 · by spclaudehome
Polymarket
Query Polymarket prediction markets. Check odds, find trending markets, search events, track price movements.
⬇ 232503 · by joelchance
Self-Improving + Proactive Agent
Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...
⬇ 200739 · by ivangdavila
Github
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.
⬇ 191401 · by steipete
ontology
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...
⬇ 190375 · by oswalpalash

💬 Comments