social-media-intelligence

Pass

Audited by Gen Agent Trust Hub on Jun 15, 2026

Risk Level: SAFE
Full Analysis
  • [PROMPT_INJECTION]: The llm_sentiment function in Section 3.1 demonstrates a potential surface for indirect prompt injection.
  • Ingestion points: Social media text collected from Twitter, Telegram, Discord, and Reddit is passed directly to an LLM provider.
  • Boundary markers: The prompt template lacks explicit delimiters or instructions to ignore embedded commands within the input text.
  • Capability inventory: The provided scripts do not include capabilities for arbitrary command execution, file-system modification, or unauthorized network operations based on the LLM output.
  • Sanitization: The skill implements basic sanitization by truncating the input text to 1000 characters before interpolation.
  • [EXTERNAL_DOWNLOADS]: The skill recommends the use of standard, reputable Python packages for its operations, including tweepy, telethon, discord.py, praw, and transformers. No unverified or suspicious external dependencies were identified.
  • [DATA_EXPOSURE_EXFILTRATION]: The skill correctly implements security best practices by using os.getenv to retrieve sensitive API credentials (tokens and hashes) from the environment rather than hardcoding them in the source code.
Audit Metadata
Risk Level
SAFE
Analyzed
Jun 15, 2026, 07:36 AM
Security Audit — agent-trust-hub — social-media-intelligence