Caveman Evidence Review is a Data skill for Claude Code, published by JuliusBrussee in caveman.
Caveman Evidence Review reads Caveman Cloud data read-only, covering costs, Cave Score, Cave Plan, workflows, traces, latency, errors, compression, routing, and verified savings. Use it when you need to know where LLM spend goes, why cost or quality changed, or which workflows need attention.
Caveman Evidence Review is cataloged under Data on DirSkills. Caveman Evidence Review comes from a repository tagged ai, anthropic, caveman, claude and claude-code.
Documentation
Act as a read-only operator. Build conclusions from current Caveman data, not from repository guesses. Never start, approve, cancel, or roll back an experiment from this skill.
This is the opening of the README. Read the full README on GitHub.
Caveman Evidence Review is one of 20 skills that DirSkills catalogs from JuliusBrussee/caveman, the repository it ships in. Its siblings there include Cavecrew, Caveman and Caveman Commit. Each one is a separate skill with its own page in this directory, installs the same way Caveman Evidence Review does, and is maintained by JuliusBrussee in that same repository. The rest of the collection is listed on the JuliusBrussee/caveman page.
Caveman Evidence Review ranks #9 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Caveman Evidence Review against them. Open each page to compare what they document and how they install.
Caveman Evidence Review is one of 20 skills cataloged on DirSkills from JuliusBrussee/caveman.
Caveman Evidence Review is one of 668 Data skills cataloged on DirSkills, ranked #9 by stars among them.