Guidance for reverse engineering graphics rendering programs (ray tracers, path tracers) from binary executables. This skill should be used when tasked with recreating a program that generates images through ray/path tracing, particularly when the goal is to achieve pixel-perfect or near-pixel-perfect output matching.
安装
npx skills add benchflow-ai/skillsbench --skill path-tracing-reversenpx skills add benchflow-ai/skillsbench --skill path-tracing-reverse -a claude-code -gnpx skills add benchflow-ai/skillsbench --skill path-tracing-reverse -a codex -ggemini skills install https://github.com/benchflow-ai/skillsbench.git --path registry/terminal_bench_2.0/letta_skills_batch/terminal_bench_2_0_path-tracing-reverse/environment/skills/path-tracing-reversegh skill install benchflow-ai/skillsbench path-tracing-reversegit clone --depth 1 https://github.com/benchflow-ai/skillsbench /tmp/benchflow-ai__skillsbench
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/benchflow-ai__skillsbench/registry/terminal_bench_2.0/letta_skills_batch/terminal_bench_2_0_path-tracing-reverse/environment/skills/path-tracing-reverse ~/.claude/skills/path-tracing-reverse # Claude Code
cp -R /tmp/benchflow-ai__skillsbench/registry/terminal_bench_2.0/letta_skills_batch/terminal_bench_2_0_path-tracing-reverse/environment/skills/path-tracing-reverse ~/.agents/skills/path-tracing-reverse # Codex, Cursor, Gemini CLI, Copilot, OpenCode