Configure feedback functions and selectors for TruLens evaluations
Configure feedback functions and selectors for TruLens evaluations
配置反馈功能和选择器以进行 TruLens 评估
Category: developer (开发工具) · Author: truera · Version: @main · License: MIT
Tags: trulens, llm, evaluation, feedback, selectors
npx skills add truera/trulens-evaluation-setup下载完整 Skill 目录，包含 SKILL.md 及所有相关文件
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Delegate coding tasks to Codex, Claude Code, or Pi agents via background process. Use when: (1) building/creating new features or apps, (2) reviewing PRs (spawn in temp dir), (3) refactoring large codebases, (4) iterative coding that needs file exploration. NOT for: simple one-liner fixes (just edit), reading code (use read tool), thread-bound ACP harness requests in chat (for example spawn/run Codex or Claude Code in a Discord thread; use sessions_spawn with runtime:"acp"), or any work in ~/clawd workspace (never spawn agents here). Claude Code: use --print --permission-mode bypassPermissions (no PTY). Codex/Pi/OpenCode: pty:true required.
Start voice calls via the OpenClaw voice-call plugin.
Transcribe audio via OpenAI Audio Transcriptions API (Whisper).
OpenProse VM skill pack. Activate on any `prose` command, .prose files, or OpenProse mentions; orchestrates multi-agent workflows.
Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.
Category:developer
Tags:trulens, llm, evaluation, feedback, selectors