twitter-automation
Pass
Audited by Gen Agent Trust Hub on Oct 8, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill processes data from Twitter/X, which is an untrusted external source, creating a potential vector for indirect prompt injection.
- Ingestion points: Tools such as
TWITTER_RECENT_SEARCH,TWITTER_POST_LOOKUP_BY_POST_ID,TWITTER_BOOKMARKS_BY_USER, andTWITTER_GET_A_USER_S_OWNED_LISTS(as documented inSKILL.md) ingest content from the public internet into the agent's context. - Capability inventory: The skill possesses write and delete capabilities, including
TWITTER_CREATION_OF_A_POST,TWITTER_POST_DELETE_BY_POST_ID,TWITTER_UNLIKE_POST, andTWITTER_REMOVE_A_BOOKMARKED_POST(as documented inSKILL.md). - Boundary markers: The instructions do not define specific delimiters or instructions for the agent to ignore potentially malicious content embedded within retrieved tweets.
- Sanitization: There is no evidence of sanitization, filtering, or validation of the text retrieved from external sources before it is processed by the agent.
- [SAFE]: The skill uses the Rube MCP server (
https://rube.app/mcp) and Composio toolkit (composio.dev), which are established services for AI agent tool integration. The setup instructions for OAuth authentication throughRUBE_MANAGE_CONNECTIONSfollow standard security practices and avoid hardcoded credentials.
Audit Metadata