工具说明为英文。
LLM 可观测性
LLM 应用的监控、追踪、评估和质量管理。
用途
活跃度
排序方式
121
工具排名
按实测增长排序,并在不同来源间归一化。 原始值保留各自的数据窗口;计算变化需要 7 天内至少两次测量。
- 1活跃
pyxen
智能体A lightweight Python library that decouples agentic runtime from applications it builds
github实测增长打开来源 ↗
1GitHub 星标稳定 - 2活跃
Multi-agent quality gate skill for Claude Code that researches, reviews, tests and challenges AI-generated work before the final answer.
github实测增长打开来源 ↗
安装
git clone https://github.com/ma-nucho-pro/supervisor-skill-claude ~/.claude/skills/supervisor-skill-claude2GitHub 星标稳定 - 3活跃
Log Claude Code sessions to Opik, the open-source LLM observability and evaluation platform, built by Comet. Tracing, evaluation, and skills for observable AI applications.
github实测增长打开来源 ↗
22GitHub 星标稳定 - 4活跃
bakeoff
技能Turn one decision into a judged tournament of solutions, then pick the best — a Claude Code skill that generates candidates, auto-derives the rubric, judges independently, and returns a defensible winner.
github实测增长打开来源 ↗
安装
/plugin marketplace add CoriChui/bakeoff10GitHub 星标稳定 - 5活跃
Audit which Claude Code skills you actually use — surface dead installs and hallucinated invocations from your session logs.
github实测增长打开来源 ↗
安装
/plugin marketplace add sfrangulov/skill-graveyard10GitHub 星标稳定 - 6活跃
Production patterns for agent orchestrators, harnesses, evals, MCP/A2A interoperability, memory, provider routing, and LLM usage metering.
github实测增长打开来源 ↗
安装
git clone https://github.com/ssheleg/agent-stack ~/.claude/skills/agent-stack2GitHub 星标稳定 - 7活跃
axiom
技能Axiom is a curated marketplace of shared plugins for Claude Code and Codex.
github实测增长打开来源 ↗
安装
git clone https://github.com/netopsengineer/axiom ~/.claude/skills/axiom5GitHub 星标稳定 - 8活跃
dsh-plugins
智能体Generic DeepSeek Harness (dsh) plugins: A2A protocol server, session storage mirror, and Langfuse observability.
github实测增长打开来源 ↗
1GitHub 星标稳定 - 9活跃
Production reliability, benchmarking, and evaluation layer for MCP agent runtimes — protocol negotiation, A2A interop, circuit breakers, connection pooling, adaptive streaming, and autoscaling, with measured throughput/latency and a…
github实测增长打开来源 ↗
3GitHub 星标稳定 - 10活跃
rashomon
技能Measure prompt and skill improvements with blind A/B comparison.
github实测增长打开来源 ↗
安装
/plugin marketplace add shinpr/rashomon18GitHub 星标稳定 - 11活跃
langfuse-mcp
MCPA Model Context Protocol (MCP) server for Langfuse, enabling AI agents to query Langfuse trace data for enhanced debugging and observability
github实测增长打开来源 ↗
105GitHub 星标稳定 - 12活跃
Make Claude write clearly, for everyone.
github实测增长打开来源 ↗
安装
/plugin marketplace add stefanobaghino/simple-output-styles16GitHub 星标稳定 - 133GitHub 星标稳定
- 14活跃
headsup
技能Glanceable Claude Code and Codex state in your terminal tabs: white=idle, blue=working, orange=waiting. Multi-terminal (iTerm2, WezTerm, AI Power Term), a live status bar with Anthropic usage limits, /sfl and /nil window save-and-restore,…
github实测增长打开来源 ↗
安装
git clone https://github.com/wasulajr/headsup ~/.claude/skills/headsup1GitHub 星标稳定 - 15活跃
Run many AIs on one board and keep control of all of it. Deterministic code decides who acts — never a model. A privacy floor keeps sensitive work on your machine, your own tests decide what counts as done, and every action lands on a…
github实测增长打开来源 ↗
安装
git clone https://github.com/sandhusukhdeep2/sc-prism-releases ~/.claude/skills/sc-prism-releases1GitHub 星标稳定 - 16活跃
Your LLM reviewer said APPROVE. Did it? A structured verdict contract: prompt rule + parser + exit-code gate in one stdlib file, with the 42 counterexamples that forced every line. Free, MIT.
github实测增长打开来源 ↗
安装
git clone https://github.com/tonydzi/verdict-contract ~/.claude/skills/verdict-contract2GitHub 星标稳定 - 17活跃
Description Evidence-driven evaluation, benchmarking, and verified repair for Agent Skills across Codex, Claude Code, Gemini CLI, and Antigravity.
github实测增长打开来源 ↗
安装
git clone https://github.com/MaxLaurieHutchinson/skill-evaluation-graph ~/.claude/skills/skill-evaluation-graph2GitHub 星标稳定
学习与参考资源
混合排名:实测增长优先。 这些资源可单独访问,不参与主要排名。
- 1活跃打开来源 ↗
Handbook técnico aberto sobre engenharia de IA em produção: ML tradicional, LLMs, RAG, agentes, segurança, observabilidade, FinOps e deployment.
github资源实测增长1GitHub 星标稳定 - 2活跃打开来源 ↗
Documentation-discovery telemetry for Claude Code — heat/cold maps, health grade, evidence-backed router fixes. 100% local, zero tokens. /tt
github安装
资源实测增长/plugin marketplace add Hedde/trigger_tree14GitHub 星标稳定 - 3活跃打开来源 ↗
My complete journey to becoming an Agentic AI Engineer through structured learning, projects, experiments, and production-ready implementations of modern AI systems.
github资源实测增长18GitHub 星标稳定 - 4活跃打开来源 ↗
tunelab
技能Claude Code plugin for LLM fine-tuning, distillation, and evaluation — decide whether you need fine-tuning at all, distill your LLM logs into small local models (MLX/LoRA), evaluate with held-out discipline, and learn the why at every step.
github安装
资源估算动量/plugin marketplace add rchaz/tunelab6GitHub 星标·