mission-claw
v1.1.0
Published
CLI tool for logging agent activities with embedded dashboard
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Mission Claw CLI
Mission Claw is a powerful activity logging CLI with a built-in background daemon and web dashboard. It helps you track agent tasks, tokens, and progress in real-time.
Express Install from OpenClaw
Paste the following instruction into openclaw chat
Follow instruction here to install Mission Claw.
https://github.com/tsangwailam/mcclaw/blob/main/INSTALL.mdInstallation
# Install globally via npm
npm install -g mission-controlQuick Start
Start the daemon (required for logging and dashboard):
mclaw daemon startLog an activity:
mclaw log "Sample Activity" --details "This is a test log" --agent "Antigravity" --project "MissionControl"Open the dashboard:
mclaw dashboard start
Usage
Daemon Management
mclaw daemon start- Start the background server (port 3100)mclaw daemon stop- Stop the background servermclaw daemon status- Check if the daemon is running
Logging & Viewing
mclaw log "action" [options]- Log a new activitymclaw list- List recent activities in the terminalmclaw status- Show quick statisticsmclaw dashboard start- Start the web-based dashboard (port 3101)
Configuration
mclaw config show- Show current configurationmclaw config set db-url <url>- Set a custom database URL (SQLite or PostgreSQL)
OpenClaw Integration
To enable the mission-claw skill for your agents, add the skill directory to your OpenClaw configuration.
Find the skill path:
# The skill is located in the package directory echo "$(npm root -g)/mission-control/skill"Add to OpenClaw config (
~/.openclaw/openclaw.json):{ "skills": { "load": { "extraDirs": ["/path/to/global/node_modules/mission-control/skill"] }, "entries": { "mission-claw": { "enabled": true } } } }
For detailed setup instructions, including database configuration and manual installation steps, see INSTALL.md.
Features
- Daemon-based: Fast CLI interactions, background processing.
- Embedded Dashboard: Visual representation of all your logged activities.
- Cross-Database: Supports local SQLite and remote PostgreSQL.
- Token Tracking: Specifically designed for tracking AI agent token usage.
