daily-digest

Pass

Audited by Gen Agent Trust Hub on Mar 9, 2026

Risk Level: SAFECOMMAND_EXECUTIONEXTERNAL_DOWNLOADSDATA_EXFILTRATIONPROMPT_INJECTION
Full Analysis
  • [COMMAND_EXECUTION]: The skill invokes several system tools and package managers via subprocess calls.
  • scripts/setup.py executes pip install to manage the skill's Python dependencies.
  • scripts/fetch_podcast.py uses curl to download audio files from RSS feed URLs.
  • scripts/fetch_youtube.py utilizes yt-dlp to query video metadata and download subtitles or audio streams.
  • [EXTERNAL_DOWNLOADS]: The skill fetches content and software components from remote sources.
  • Media content (audio and text) is downloaded from user-configured RSS feeds and YouTube channels.
  • Python libraries are installed from the Python Package Index (PyPI) during the setup process.
  • The transcribe.py script triggers the download of Whisper models for speech-to-text processing.
  • [DATA_EXFILTRATION]: The skill transmits data to an external service as part of its primary function.
  • scripts/notify_telegram.py sends generated summaries to the Telegram Bot API using credentials (token and chat ID) provided by the user during configuration.
  • [PROMPT_INJECTION]: The skill is susceptible to indirect prompt injection because it processes untrusted data from external sources.
  • Ingestion points: Untrusted content enters the agent context via RSS feed summaries in fetch_podcast.py and YouTube transcripts (subtitles/audio) in fetch_youtube.py.
  • Boundary markers: The instructions in SKILL.md that direct the agent to summarize content do not employ explicit delimiters or 'ignore' instructions to isolate the source text from the agent's core logic.
  • Capability inventory: The skill environment possesses capabilities for file system writes, network requests, and system command execution (curl, yt-dlp, pip).
  • Sanitization: scripts/fetch_youtube.py includes a parse_vtt function that performs basic sanitization by stripping HTML tags from subtitle data.
Audit Metadata
Risk Level
SAFE
Analyzed
Mar 9, 2026, 09:29 PM