The Agent Skills Directory

[SAFE]: The skill consists entirely of documentation and a Python code example illustrating prompting techniques. No indicators of data exfiltration, malicious intent, or unauthorized access were found.
[PROMPT_INJECTION]: The implementation pattern provided in SKILL.md for chain_of_thought_prompt uses direct string interpolation of the question variable into the prompt template. This creates a surface for indirect prompt injection where untrusted data could influence the agent's behavior, although this is a standard pedagogical example for Chain-of-Thought reasoning.
Ingestion points: question argument in the Python function chain_of_thought_prompt (SKILL.md)
Boundary markers: Absent in the example code
Capability inventory: llm.generate call
Sanitization: None provided in the snippet

reasoning