The Agent Skills Directory

[COMMAND_EXECUTION]: The skill uses local shell commands for environment setup, cache management, and script execution. These include mkdir, shasum, and rm. These are standard operations for the skill's stated purpose of managing a deterministic vote cache and cleaning up temporary pass files.
[REMOTE_CODE_EXECUTION]: The skill spawns parallel sub-agents using the Agent tool to perform independent task passes. Each sub-agent is isolated and receives a prompt derived from the user input and a schema. This is a core architectural feature for ensuring the independence of samples in a self-consistency algorithm and does not involve executing untrusted remote code.
[EXTERNAL_DOWNLOADS]: The skill does not perform any network operations or external downloads. All logic is contained within the markdown files and the included vote.py script. The Python script requires pyyaml, which is a standard package management dependency.
[DATA_EXFILTRATION]: There is no evidence of data exfiltration. The skill processes user prompts locally and writes temporary JSON results to /tmp/. The vote.py script is explicitly described as deterministic with no network access.
[PROMPT_INJECTION]: The skill uses sub-agents to process the user's prompt. While the lead agent constructs a wrapper prompt for the sub-agents (e.g., 'You are an isolated worker...'), this is a structural template rather than a bypass attempt. The system design naturally mitigates traditional injection risks by isolating the task execution from the lead agent's context.

consensus