The Agent Skills Directory

[SAFE]: No malicious patterns, obfuscation, or unauthorized data exfiltration attempts were detected. The skill's functionality is consistent with its stated purpose of Telegram API integration.
[DATA_EXPOSURE]: The skill correctly handles sensitive information by encouraging the use of environment variables (TELEGRAM_BOT_TOKEN) and .env files. The utility scripts (scripts/test_bot.py and scripts/send_message.py) include a _mask_token function to prevent the leakage of API tokens in logs and error outputs.
[COMMAND_EXECUTION]: CLI scripts provided in the scripts/ directory perform standard tasks such as project initialization (copying local boilerplate files) and making network requests to the official Telegram API. No instances of arbitrary shell execution or unsafe command interpolation were found.
[EXTERNAL_DOWNLOADS]: Dependencies listed in the boilerplates (package.json, requirements.txt) are well-known, established libraries for the described tasks. Network operations are directed solely to the official Telegram Bot API (api.telegram.org).
[PROMPT_INJECTION]: The AI automation example in SKILL.md demonstrates ingesting user messages into an LLM context. This creates an indirect prompt injection surface.
Ingestion points: update.message.text in the ai_response function.
Boundary markers: Absent in the educational boilerplate.
Capability inventory: The bot has the ability to send messages back to users via update.message.reply_text.
Sanitization: Absent in the example. While this is a potential risk, it is a standard implementation for the described feature and is intended for educational purposes.

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