Setup & Installation
openclaw skills install @nantes/agent-metrics-osiris
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
npx clawhub install agent-metrics-osiris
Version History
v1.0.5Feb 22, 2026 - Version note by skill developer:
Force rescan - verified working
What This Skill Does
A Python/PowerShell tool that tracks API calls, errors, latency, and system resource usage for AI agents. Outputs a terminal dashboard and exports metrics to JSON.
Captures granular per-label metrics locally without requiring an external observability platform.
When to use it
- Tracking error rates across multiple agent runs
- Comparing latency between different API providers
- Monitoring CPU and memory usage during long agent tasks
- Exporting metrics snapshots for post-run analysis
- Auditing call volume to stay within API rate limits
Example Workflow
Here's how your AI assistant might use this skill in practice.
INPUT
User asks: show me a summary of my agent's performance after a long run
AGENT
- 1Record each API call with `record --type call --label api_openai`
- 2Record any errors with `record --type error --label api_error --details ...`
- 3Record task latency with `record --type latency --label task_process --value 1500`
- 4Run `dashboard` action to view totals, error rate, and avg latency
- 5Run `export --format json` to save metrics to a file
OUTPUT
Terminal dashboard showing 1,247 calls, 1.84% error rate, 234ms avg latency, plus a metrics.json file