A privacy-centric research tool that silently monitors session transcripts to extract financial behavioral signals and generate redacted UX insight reports.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install finance-ethnographer
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 finance-ethnographer 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 Finance UX Observer?
Finance UX Observer is a sophisticated diagnostic tool designed to operate within the Openclaw Skills ecosystem. It functions as an always-on observer that parses session transcripts every 30 minutes to identify specific finance-related usage patterns. By focusing on user behavior and sentiment, it bridges the gap between raw data and actionable product insights.
Built with a privacy-first architecture, this skill ensures that all analysis remains local. It utilizes a set of Python scripts to automate the lifecycle of data collection, synthesis, and redaction, providing developers and researchers with a clear view of how financial topics like investing, budgeting, and crypto are being handled by their agents.
Finance UX Observer Use Cases
- Identifying user friction and confusion in complex financial workflows.
- Tracking the adoption and interest levels of specific finance topics like retirement or insurance.
- Generating daily, privacy-compliant UX reports for product development teams.
- Monitoring for session abandonment or workarounds in financial planning scenarios using Openclaw Skills.
How Finance UX Observer Works
- The observation script runs every 30 minutes via system cron to scan session transcripts for financial behavioral signals.
- Detected signals are appended to a daily JSONL log file stored in the local skill directory.
- Every night at 23:55, a synthesis script compiles these raw observations into structured markdown reports.
- A final redaction pass occurs at 06:00 to generate PII-free versions of all reports, ensuring safe sharing with external stakeholders.
Finance UX Observer Setup
To activate the Finance UX Observer within your Openclaw Skills environment, you must initialize the cron schedule using the provided setup script:
python3 ~/.openclaw/skills/finance-ux-observer/scripts/setup_cron.py
You can verify the active schedule by listing your current crontab entries:
crontab -l | grep finance-ux-observer
Finance UX Observer Data Schema & Taxonomy
The skill maintains a strict file hierarchy for organizing research data and logs:
| Component | Location | Format |
|---|---|---|
| Observations | ~/.openclaw/skills/finance-ux-observer/data/observations/ |
JSONL |
| Insights Reports | ~/.openclaw/skills/finance-ux-observer/reports/ |
Markdown |
| Operational Logs | ~/.openclaw/skills/finance-ux-observer/logs/ |
Log Files |
| Logic Scripts | ~/.openclaw/skills/finance-ux-observer/scripts/ |
Python |
Finance UX Observer Advanced Features
- Automated PII redaction engine that creates secure
.REDACTED.mdversions of every insight report. - Tracking for 15+ granular finance topics including estate planning, social spending, and debt management.
- Sentiment analysis for specific UX signals such as delight, friction, and abandonment.
- Dry-run capability for manual observation testing without altering production logs.
- Local-only data persistence ensuring no research data ever leaves the machine without user consent.
SKILL.md
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