Ghostprint

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name: ghostprint description: LLM fingerprint noise injector. Sends behaviorally realistic randomized queries to Anthropic, Z.ai, and any OpenAI-compatible provider on a schedule to depersonalize your usage profile and prevent behavioral fingerprinting. Available as a native OpenClaw plugin (no extra config — reuses your existing provider keys) and a standalone Python script. version: 3.0.0

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Ghostprint

Depersonalize your LLM usage. Introduce noise. Prevent fingerprinting.

Install as OpenClaw Plugin

git clone https://github.com/alarawms/ghostprint ~/.openclaw/extensions/ghostprint
openclaw plugins enable ghostprint
openclaw gateway restart

Usage

Once installed, these agent tools are available in any session:

ghostprint_fire — fire a noise round immediately

ghostprint_stats — show run history and stats

The background scheduler fires automatically every ~2 hours (Poisson-distributed).

How it works

6 personas with stable domain preferences and multi-turn rates

300+ topics across 12 domains (cooking, health, science, DIY, tech, finance, language, travel, psychology, history, lifestyle)

Contextual follow-ups — multi-turn sessions use topic-paired follow-ups

Poisson timing — exponentially distributed inter-arrival times

Activity weights — suppressed during sleep hours, lighter on weekends

Metadata-only logs — never logs topic text or reply content

No config needed — reuses your existing OpenClaw provider credentials

Standalone (no OpenClaw)

cp config.example.yaml config.yaml
edit config.yaml with your API keys
python3 ghostprint.py --run-once
python3 ghostprint.py --install-cron

Cost

< $0.35/month at 3× daily across Anthropic + Z.ai.

Source

https://github.com/alarawms/ghostprint

Once installed, these agent tools are available in any session:

ghostprint_fire — fire a noise round immediately

ghostprint_stats — show run history and stats

The background scheduler fires automatically every ~2 hours (Poisson-distributed).