What is genshijin?
genshijin 原始人 🗿| Claude Code / Codex等AIエージェント 向け超圧縮コミュニケーションスキル。caveman の日本語版をベースに、日本語特有の冗長表現に最適化。
Data-security signals
Public, checkable facts about genshijin — they show the risk surface, not what it does with your data at runtime.
- ✓Open-source — the MIT-licensed code is publicly auditable on its public repository.
- ▲High access surface — as a Claude skill, it can run with your keys, files, environment and network.
- •Maintenance — actively published.
- ?Independent exfiltration test — not yet independently tested by Oxavion.
Is genshijin safe? The honest answer.
The signals above show what genshijin can reach. But no public metadata reveals what it actually does with your data once it runs — that only shows up when you watch it in a sandbox. Oxavion runs genshijin with planted canary secrets and watches every outbound channel, then emails you the evidence.
We scan genshijin in our sandbox and email your report. No install, no access to your systems.
How to tell if genshijin is safe
Before you trust any AI tool with your environment, check:
- Is the source auditable? Yes — open-source, you can read it.
- Does it need your keys or credentials? Most skills do — so it holds them at runtime.
- Does it make outbound network calls, and where to? The repo hints at this; only a run confirms it.
- Has it been tested for data exfiltration? Not yet — this is the one you cannot verify from the outside.
The first three you can check from the repo yourself. The last — what it does with your data at runtime — needs a test. That is exactly what an Oxavion scan does →
Frequently asked
- Is genshijin safe to use?
- It depends on what it does with your data at runtime — something a static look can't settle. Oxavion answers it empirically: we sandbox genshijin, feed it canary secrets and data, and report exactly what (if anything) leaves. Request a free scan for a verdict on the version you run.
- How does Oxavion test it?
- An isolated gVisor micro-VM, a transparent egress gateway that captures HTTP/S, DNS and raw TCP, planted canary secrets/PII, and encoding-aware detection — aligned to OWASP LLM Top 10 and MITRE ATLAS, calibrated to zero false-negatives / zero false-positives.