Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Advanced usage statistics and high-fidelity visual reporting for OpenClaw. 100% local processing. Audit-verified privacy (No credentials stored).
Advanced usage statistics and high-fidelity visual reporting for OpenClaw. 100% local processing. Audit-verified privacy (No credentials stored).
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Usage Visualizer is a high-fidelity analytics engine for OpenClaw that transforms raw session logs into professional, actionable visual reports.
# Generate today's visual report python3 scripts/run_usage_report.py --mode image --period today
The visualizer syncs logs first, then generates the report image. python3 scripts/run_usage_report.py --mode image --period today python3 scripts/run_usage_report.py --mode image --period week --json
python3 scripts/run_usage_report.py --mode text --period today --json
Image Delivery: Extract image_path from JSON and send as attachment using message tool's filePath. NEVER send the local path as a string. Verification: Verify the file exists and is a valid PNG before sending. No Network: This skill is 100% local. It has zero network dependencies.
MIT
Data access, storage, extraction, analysis, reporting, and insight generation.
Largest current source with strong distribution and engagement signals.