vectorguard-nano
Lightweight, open-source skill for secure, obfuscated messaging between OpenClaw agents.
Setup & Installation
Install command
clawhub install supere989/vectorguard-nanoIf the CLI is not installed:
Install command
npx clawhub@latest install supere989/vectorguard-nanoOr install with OpenClaw CLI:
Install command
openclaw skills install supere989/vectorguard-nanoor paste the repo link into your assistant's chat
Install command
https://github.com/openclaw/skills/tree/main/skills/supere989/vectorguard-nanoWhat This Skill Does
Lightweight skill for obfuscating text messages between OpenClaw agents using HMAC-SHA256. Produces a deterministic, reversible digit stream from any string, preventing plain-text leaks in transit. Free public version of the commercial VectorGuard system.
Uses Node.js built-in crypto with no external dependencies, so setup requires only agreeing on a shared secret.
When to Use It
- Obfuscating sensitive messages before sending through Slack or Telegram
- Encoding confidential Moltbook posts to prevent plain-text exposure
- Securing agent-to-agent communications with a shared passphrase
- Decoding received encoded strings from a trusted peer agent
- Obscuring IPFS links before sharing in public channels
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Obfuscating sensitive messages before sending through Slack or Telegram
- 1Obfuscating sensitive messages before sending through Slack or Telegram
- 2Encoding confidential Moltbook posts to prevent plain-text exposure
- 3Securing agent-to-agent communications with a shared passphrase
- 4Decoding received encoded strings from a trusted peer agent
- 5Obscuring IPFS links before sharing in public channels
Lightweight, open-source skill for secure, obfuscated messaging between OpenClaw agents.
Security Audits
These signals reflect official OpenClaw status values. A Suspicious status means the skill should be used with extra caution.