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Log Agent Activity Dashboard

ASecurity

Log agent activities to Mission Claw dashboard with token usage tracking. Use when completing significant tasks, subagent work, or any action worth recording in the activity feed. Triggers on task completion, activity logging, or tracking agent work.

19 stars
0 votes
0 copies
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Added 9/19/2026
ai-agentsgobashapi

Works with

cliapi

Security Analysis

A100/100

Scanned 9/19/2026

Install to Claude Code

$npx -y skills add rondoflow/rondoflow --skill log-agent-activity-dashboard --agent claude-code

Installs into .claude/skills of the current project.

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Files
SKILL.md
---
name: log-agent-activity-dashboard
description: "Log agent activities to Mission Claw dashboard with token usage tracking. Use when completing significant tasks, subagent work, or any action worth recording in the activity feed. Triggers on task completion, activity logging, or tracking agent work."
category: "Finance & Crypto"
author: community
version: "0.1.2"
icon: coins
---

# Mission Claw Activity Logging

Log significant tasks to the Mission Claw activity feed for tracking agent work, token usage, and project progress.

## Prerequisites

- **Mission Claw CLI**: The `mclaw` binary must be installed on the host system.
- **OpenClaw Built-ins**: Relies on the `session_status` tool to retrieve current token usage.

## CLI Usage

```bash
mclaw log "Task description" \
  --agent "AgentName" \
  --project "ProjectName" \
  --status completed \
  --duration "Xm Ys" \
  --input-tokens N \
  --output-tokens N \
  --total-tokens N
```

### Required Fields
- `action` - Brief task description (positional argument)
- `--agent` - Agent name (e.g., "J", "mission-claw", "type-alchemy")
- `--total-tokens` - Total tokens used (**always include**)

### Optional Fields
- `--details` - Longer description of work done
- `--project` - Project name
- `--status` - `completed` (default), `in_progress`, or `failed`
- `--duration` - Time taken (e.g., "5m", "1h 30m")
- `--input-tokens` / `--output-tokens` - Token breakdown

## When to Log

Log after completing:
- Significant development tasks
- Bug fixes or feature implementations
- Research or investigation work
- Configuration changes
- Any task worth tracking

## Getting Token Usage

Before logging, check your session's token usage:
- Use the built-in `session_status` tool to see current tokens
- For subagents, tokens are in the completion announcement

## Examples

```bash
# Feature implementation
mclaw log "Added date-time filter to dashboard" \
  --agent "mission-claw" \
  --project "Mission Claw" \
  --status completed \
  --duration "10m" \
  --total-tokens 15000

# Quick fix
mclaw log "Fixed timezone bug" \
  --agent "J" \
  --project "ContentMorph" \
  --duration "2m" \
  --total-tokens 3500

# In-progress work
mclaw log "Implementing payment flow" \
  --agent "J" \
  --project "TypeAlchemy" \
  --status in_progress
```

## Other Commands

```bash
mclaw list                    # Recent activities
mclaw list --agent J          # Filter by agent
mclaw status                  # Quick stats and service status
mclaw dashboard start         # Start web dashboard (localhost:3101 by default)
```

## API Alternative

The CLI logs to a local daemon (defaulting to `http://localhost:3100`). You can also POST directly to the API:

POST `http://localhost:3100/api/activity`
```json
{
  "action": "Task name",
  "agent": "J",
  "project": "Project",
  "status": "completed",
  "totalTokens": 5000,
  "inputTokens": 4000,
  "outputTokens": 1000
}
```

Attribution

rondoflowrondoflow
View sourceMore from rondoflow →
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