An embedded ethnographic research tool that monitors interaction data and generates structured insights to optimize your OpenClaw experience.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install nutcrackertest
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install nutcrackertest using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
UXR Observer is a sophisticated ethnographic research skill designed to sit quietly within your Openclaw Skills environment, observing the relationship between users and agents. It acts as a digital fly-on-the-wall, transforming raw session logs into meaningful research-grade reports that highlight friction, delight, and behavioral patterns. By analyzing how users phrase requests and identifying where agents struggle, it provides a data-driven foundation for iterative improvement.
Built with a privacy-first architecture, the skill ensures that all interaction analysis happens locally on the user's machine. It features a robust multi-stage pipeline that includes data collection, PII redaction, and longitudinal trend analysis. This allows developers and power users to gain deep visibility into the performance and utility of their Openclaw Skills without compromising sensitive information.
To integrate UXR Observer into your Openclaw Skills workflow, ensure your environment meets the technical requirements and follow these steps:
# Ensure dependencies are installed
# Requires: python3, jq, and bash
# Generate your first interaction report
/uxr
# Access longitudinal data
/uxr trends
# (Optional) Automate report generation via cron
openclaw cron add --id "daily-uxr" --schedule "0 22 * * *" --message "/uxr"
The skill manages a structured lifecycle for interaction data to ensure all Openclaw Skills analysis remains organized and secure:
| Data Component | Path | Description |
|---|---|---|
| Raw Collection | data/sessions-YYYY-MM-DD.json |
Intermediate structured data before final analysis. |
| Longitudinal Store | data/trends.json |
JSON store for cross-session metrics and adoption curves. |
| Research Reports | reports/YYYY-MM-DD.md |
Human-readable Markdown reports detailing daily insights. |
| Redaction Rules | scripts/redact.py |
Logic for stripping PII and sensitive system paths. |
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