public-restroom-nearby
Fail
Audited by Gen Agent Trust Hub on Oct 1, 2026
Risk Level: HIGHREMOTE_CODE_EXECUTIONCOMMAND_EXECUTIONEXTERNAL_DOWNLOADSINDIRECT_PROMPT_INJECTION
Full Analysis
- [REMOTE_CODE_EXECUTION]: The SKILL.md file contains instructions for the agent to run shell commands using
npxto fetch its core logic. Specifically,npx -y @nomadamas/k-skill@0 instruct public-restroom-nearbyis described as a "required first step" to get the primary instructions. This allows the remote package to dynamically define the agent's behavior at runtime. - [COMMAND_EXECUTION]: The skill makes extensive use of shell command patterns including
npxfor listing files and updating the skill environment. The use of the-yflag in these commands ensures they execute without user confirmation, increasing the risk of silent execution of potentially malicious remote code. - [EXTERNAL_DOWNLOADS]: The skill workflows involve fetching CSV datasets from Korean government domains (
data.go.kr,localdata.go.kr) and interacting with Kakao map services. Additionally, it requires the installation/execution of the@nomadamas/k-skillpackage and references a Node.js packagepublic-restroom-nearbywhich are not from a verified or well-known vendor list. - [INDIRECT_PROMPT_INJECTION]: The skill is designed to ingest and process user-supplied location strings which are then used in external API queries and data lookups.
- Ingestion points: User-provided location strings (landmarks, station names, coordinates) are captured in
instruction.mdvia the mandatory first question. - Boundary markers: The instructions do not specify explicit delimiters or "ignore embedded instructions" warnings for the user-supplied location data.
- Capability inventory: The skill has the capability to execute shell commands (
npx), execute Node.js code (require), perform network requests (fetch CSVs), and write to the console. - Sanitization: The workflow uses an "anchor resolution" step via the Kakao Map API to convert location strings into coordinates, which provides a level of normalization for the input.
Recommendations
- AI detected serious security threats
Audit Metadata