Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Transfer credentials securely between networked and air-gapped devices using QR codes without exposing passwords or storing data persistently.
Transfer credentials securely between networked and air-gapped devices using QR codes without exposing passwords or storing data persistently.
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.
Bidirectional credential transfer using QR codes as an optical channel. No secret touches a network.
Never log credentials to chat history or memory files Redact passwords from all conversation output โ show **** instead Auto-clear canvas display after 30 seconds using timed canvas hide QR images are ephemeral โ delete after use with rm Never store decoded credentials in any file
Generate a QR code from a credential for an air-gapped device to scan. echo '{"username":"USER","password":"PASS","domain":"DOMAIN"}' | \ python3 skills/qr-password/scripts/generate-qr.py /tmp/qr-out.png Then display via canvas and auto-clear: canvas present /tmp/qr-out.png # Wait 30s canvas hide rm /tmp/qr-out.png When reporting to user, say "QR displayed" โ never echo the password.
Read a QR code from a camera image to extract credentials. Capture image: nodes camera_snap (or accept user-provided image) Decode: python3 skills/qr-password/scripts/read-qr.py /path/to/image.png Output is JSON: {"username":"...","password":"...","domain":"..."} Use the credential (fill, copy, deliver) โ never echo password to chat Delete the image: rm /path/to/image.png
For air-gapped devices, provide assets/qr-generator.html โ a standalone offline HTML page that generates QR codes locally in-browser. No network required.
Python 3 with: qrcode, Pillow, opencv-python-headless Install: python3 -m pip install --user qrcode Pillow opencv-python-headless
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