Measure local AI task latency, token usage, errors and verified outcomes using Pudu AI hardware evidence and installed Ollama models. Use when comparing local task runs, choosing a local model for a bounded subtask, or recording reproducible task telemetry.
Install
npx skills add davila7/claude-code-templates --skill pudu-task-telemetrynpx skills add davila7/claude-code-templates --skill pudu-task-telemetry -a claude-code -gnpx skills add davila7/claude-code-templates --skill pudu-task-telemetry -a codex -ggemini skills install https://github.com/davila7/claude-code-templates.git --path cli-tool/components/skills/development/pudu-task-telemetrygh skill install davila7/claude-code-templates pudu-task-telemetrygit clone --depth 1 https://github.com/davila7/claude-code-templates /tmp/davila7__claude-code-templates
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/davila7__claude-code-templates/cli-tool/components/skills/development/pudu-task-telemetry ~/.claude/skills/pudu-task-telemetry # Claude Code
cp -R /tmp/davila7__claude-code-templates/cli-tool/components/skills/development/pudu-task-telemetry ~/.agents/skills/pudu-task-telemetry # Codex, Cursor, Gemini CLI, Copilot, OpenCode