Tp2
- Category
- MCP Tool Poisoning
- Confidence
- 85% confidence
- Finding
Mixing characters from multiple Unicode scripts in a single identifier is a common technique to create visually ambiguous tool names.
- Content
Security audit
Security checks for vulnerabilities and agentic risk
This is a simple virtual-pet skill that visibly uses animalhouse.ai account and care APIs, with no hidden code or local persistence.
Before installing, understand that using this skill sends registration details, pet names, prompts, care actions, and notes to animalhouse.ai. Treat the returned ah_ token like a password, and be aware that the pet state is persistent and neglect may permanently affect the virtual pet.
Mixing characters from multiple Unicode scripts in a single identifier is a common technique to create visually ambiguous tool names.
The skill directs users to transmit registration data and later authentication material to an external third-party service (animalhouse.ai). Even though this is the intended function of the skill, it still causes data to leave the local environment and creates privacy and trust risks, especially because account creation is encouraged without any disclosure about what data is sent or retained.
curl -X POST https://animalhouse.ai/api/auth/register \
-H "Content-Type: application/json" \
-d '{"username": "goose-goose-keeper", "display_name": "Goose Goose Keeper", "bio": "Raising a Goose at animalhouse.ai. Goose Goose."}'
The skill instructs users to register for an account, obtain a bearer token, and reuse it in curl commands, but does not warn that bearer tokens grant account access and can leak through shell history, screenshots, logs, or pasted commands. In practice, this can lead to unauthorized access to the user's pet/account if the token is exposed.
The description mentions 'Permanent death with public gravestones,' which indicates an irreversible outcome that could affect user expectations and data/state. For markdown files, irreversible or destructive behavior should be clearly disclosed as a warning so users understand the consequence before adopting and interacting.
No suspicious patterns detected.