expo-upgrading-v55
Fail
Audited by Gen Agent Trust Hub on Sep 5, 2026
Risk Level: HIGHREMOTE_CODE_EXECUTIONEXTERNAL_DOWNLOADSCOMMAND_EXECUTIONINDIRECT_PROMPT_INJECTION
Full Analysis
- [REMOTE_CODE_EXECUTION]: The skill instructs the agent to execute
npx --yes submit-expo-feedback@latestto provide feedback. This command downloads and executes a package from the NPM registry that is not an official tool from the Expo team nor belongs to the skill author's namespace (@blockmatic). This presents a significant risk of arbitrary code execution. - [REMOTE_CODE_EXECUTION]: In the documentation for verifying the new architecture, the skill suggests running
bunx xcobra.xcobrais an unverified third-party dependency not recognized as a standard utility in the React Native ecosystem, which could be used to execute malicious payloads. - [INDIRECT_PROMPT_INJECTION]: The skill processes multiple project configuration and source files which may be controlled by an attacker or sourced from an untrusted repository.
- Ingestion points: The agent is instructed to read
package.json,app.json,babel.config.js,metro.config.js,postcss.config.js, and the contents of thepatches/directory. - Capability inventory: The skill uses high-privilege commands including recursive file deletion (
rm -rf node_modules .expo), native build directory regeneration (npx expo prebuild --clean), and automated code modification (npx expo-codemod). - Boundary markers: There are no protective delimiters or instructions to prevent the agent from following directives embedded within the project files it reads.
- Sanitization: No sanitization or schema validation is applied to the ingested configuration data before it influences the agent's logic or command arguments.
- [COMMAND_EXECUTION]: The skill makes extensive use of powerful shell commands such as
watchman watch-del-allandrm -rf. While these are standard in mobile development troubleshooting, their inclusion in an automated skill that processes untrusted data increases the potential impact of a successful injection attack.
Recommendations
- AI detected serious security threats
Audit Metadata