A monitoring tool for AI agents that logs every skill invocation to generate actionable usage reports and performance trends.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install heleni-skill-analytics
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install heleni-skill-analytics using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Skill Analytics?
Skill Analytics provides a comprehensive observability layer for your AI agent ecosystem. By logging every skill invocation across different sessions and platforms, it turns your skill library into a data-driven feedback loop. This ensures you have visibility into which features are driving value and which are underutilized.
Using this within the context of Openclaw Skills allows developers to maintain a high-performance automation suite by identifying bottlenecks and frequency of use. It is essential for teams looking to scale their AI operations with clear metrics and historical logs, providing a transparent view of agent behavior without external dependencies.
Skill Analytics Use Cases
- Monitoring daily agent activity to ensure automation consistency.
- Identifying unused Openclaw Skills to prune or improve the agent library.
- Analyzing triggers to understand how users or system processes are interacting with skills.
- Generating automated morning briefings of system health and activity context.
How Skill Analytics Works
- Every time an agent invokes a skill, a log entry is appended to a local JSONL file containing metadata like timestamp, skill name, and trigger.
- The script processes these logs using CLI tools to aggregate performance data over the last 24 hours.
- A summary report is generated, highlighting top-performing skills, all-time usage, and distribution across contexts (DM, group, or cron).
- Users can set up automated cron jobs to receive these reports at scheduled intervals.
Skill Analytics Setup
First, ensure the data directory exists and initialize the log file:
mkdir -p /opt/ocana/openclaw/workspace/data
touch /opt/ocana/openclaw/workspace/data/skill-analytics.jsonl
Integrate logging into your Openclaw Skills by adding this snippet to the top of your execution logic:
echo "{\"ts\":\"$(date -u +%Y-%m-%dT%H:%M:%SZ)\",\"skill\":\"SKILL_NAME\",\"trigger\":\"TRIGGER\",\"context\":\"CONTEXT\"}" >> /opt/ocana/openclaw/workspace/data/skill-analytics.jsonl
Optional: Add a crontab entry to automate the daily summary report:
25 5 * * * /opt/ocana/openclaw/workspace/scripts/skill-report.sh
Skill Analytics Data Schema & Taxonomy
The skill maintains a flat JSONL (JSON Lines) file located at /opt/ocana/openclaw/workspace/data/skill-analytics.jsonl. Each entry follows this structure:
| Field | Type | Description |
|---|---|---|
| ts | String | ISO 8601 UTC timestamp |
| skill | String | The unique identifier of the invoked skill |
| trigger | String | The phrase or command that initiated the skill |
| context | String | The environment (e.g., dm, group:name, or cron) |
Skill Analytics Advanced Features
- Automated unused skill detection by comparing logs against a master inventory of Openclaw Skills.
- Historical archiving and rotation to manage log file size on a monthly basis.
- Context-aware reporting to distinguish between manual user interactions and automated system tasks.
- Integration with morning briefings for proactive agent management and system health monitoring.
SKILL.md
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