Caveman is a highly effective, locally executed prompting tool for AI coding assistants that significantly reduces token consumption, though it relies on some script-based installation paths that warrant basic review.
MIT licensed and fully open-source, allowing for complete local inspection and modification.
Reduces Claude Code output tokens by approximately 65-75% by aggressively stripping conversational pleasantries.
Operates entirely locally, meaning no user data is sent to the developer's infrastructure.
Includes a SECURITY.md file that proactively addresses Snyk static analysis warnings regarding subprocess execution.
Third-party testing suggests the token-saving benefits may degrade when implemented outside the core supported ecosystem.