The Agent Skills Directory

[EXTERNAL_DOWNLOADS] (LOW): The skill identifies and uses standard, reputable Python dependencies including redis, redisvl, and openai. These are necessary for communicating with Redis and generating vector embeddings as described.\n- [DATA_EXFILTRATION] (INFO): The service transmits input text to OpenAI's API to generate embeddings. This is a functional requirement for semantic similarity matching and is disclosed in the implementation details.\n- [COMMAND_EXECUTION] (SAFE): Interactions with the Redis database and the RediSearch module use standard client libraries and parameterized-style query building. No arbitrary shell command execution or unsafe deserialization of untrusted data was found.\n- [INDIRECT_PROMPT_INJECTION] (LOW): As a caching component, the skill is susceptible to cache poisoning if an upstream agent stores a malicious response. However, the skill itself does not possess high-privilege capabilities that would allow such an injection to escalate into a system-level compromise.

semantic-caching