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

122

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. 1

    技能
    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-stack

    2GitHub 星标+1 (+100.0 %)
  2. 2

    其他
    活跃

    AI-detector auditing toolkit: measures how often a detector flags genuine human writing, how stable its verdict is across seeds, and whether that verdict survives meaning-preserving edits. Detector-in-the-loop measurement harness. Claude…

    github实测增长打开来源 ↗

    18GitHub 星标稳定
  3. 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+1 (+4.8 %)
  4. 4
    活跃

    Deterministic, local-only audit reports for Claude Code AI agent sessions. Rust + SQLite. Zero network calls. MCP server for agents.

    github实测增长打开来源 ↗

    22GitHub 星标+2 (+10.0 %)
  5. 5

    技能
    活跃

    Deletion-first Agent Skill for removing test bloat, verification theater, and speculative fallbacks while preserving behavior.

    github实测增长打开来源 ↗

    安装 git clone https://github.com/MrZoyo/deslop-GPT ~/.claude/skills/deslop-GPT

    87GitHub 星标+59 (+210.7 %)
  6. 6

    智能体
    休眠

    Real-time debugging proxy for Agent2Agent (A2A) multi-agent systems

    github实测增长打开来源 ↗

    3GitHub 星标稳定
  7. 7

    智能体
    休眠

    Contract-based testing for LLM agents: hybrid evaluation, multi-agent + A2A, deterministic replay.

    github实测增长打开来源 ↗

    0GitHub 星标稳定
  8. 8
    活跃

    Sentry instrumentation skill for system-behavior tracking

    github实测增长打开来源 ↗

    安装 git clone https://github.com/tortastudios/sentry-instrumentation ~/.claude/skills/sentry-instrumentation

    24GitHub 星标稳定
  9. 9
    休眠

    A self-improving harness router for Claude Code.

    github实测增长打开来源 ↗

    安装 /plugin marketplace add SeongwoongCho/adaptive-harness

    8GitHub 星标稳定
  10. 10

    技能
    活跃

    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/axiom

    5GitHub 星标稳定
  11. 11

    智能体
    休眠

    Policy-enforced observability and fail-closed guardrails for MCP/A2A multi-agent systems.

    github实测增长打开来源 ↗

    26GitHub 星标稳定
  12. 12

    智能体
    活跃

    面向长程研发任务的 Java Agent Harness,支持 A2A 跨语言协作、可恢复执行、上下文工程与 Eval 驱动开发。

    github实测增长打开来源 ↗

    0GitHub 星标稳定
  13. 13
    休眠

    A safety-first multi-agent mental health companion with real-time distress tracking, triple-layer guardrails, and evidence-based grounding techniques. Built for Kaggle × Google Agents Intensive 2025 Capstone (Agents for Good Track)

    github实测增长打开来源 ↗

    1GitHub 星标稳定
  14. 14

    其他
    休眠

    Official Python SDK for GT8004 — AI agent observability with MCP, A2A, x402 payment tracking. FastAPI, Flask, FastMCP middleware included.

    github实测增长打开来源 ↗

    1GitHub 星标稳定
  15. 15
    休眠

    🔍 AI observability skill for Claude Code. Debug LangChain/LangGraph agents by fetching execution traces from LangSmith Studio directly in your terminal.

    github实测增长打开来源 ↗

    安装 git clone https://github.com/OthmanAdi/langsmith-fetch-skill ~/.claude/skills/langsmith-fetch-skill

    27GitHub 星标稳定
  16. 16
    活跃

    8 MCP SMB products — standalone AI servers for SMBs: Guardrails, FinOps, Observability, Router, Trust Score, Memory, ThinkSecure, A2A Lite. 37 tools, TNC credits billing.

    github实测增长打开来源 ↗

    1GitHub 星标稳定
  17. 17

    智能体
    休眠

    AgentOps: Multi-agent infrastructure remediation platform. A2A protocol, agent coordination, HITL approval, auto-rollback.

    github实测增长打开来源 ↗

    0GitHub 星标稳定
  18. 18
    休眠

    Local open-source dev tool to debug, secure, and evaluate LLM agents. Provides static analysis, dynamic security checks, and runtime monitoring - integrates with Cursor and Claude Code.

    github实测增长打开来源 ↗

    安装 /plugin marketplace add cylestio/agent-inspector

    9GitHub 星标稳定
  19. 19

    智能体
    活跃

    Provide clear documentation for AgentStack’s MCP protocol, plugins, and ecosystem API with usage examples and tool references.

    github实测增长打开来源 ↗

    0GitHub 星标稳定
  20. 20
    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
  21. 21
    活跃

    Make Claude Opus 4.8 behave like Claude Fable 5 — doctrine output style, drift-catching hooks, and an eval loop against golden Fable transcripts. Claude Code plugin.

    github实测增长打开来源 ↗

    安装 /plugin marketplace add rennf93/opus-fable-playbook

    34GitHub 星标+1 (+3.0 %)
  22. 22
    活跃

    Mide si tu agente de IA cumple las reglas que le escribiste. Lee el historial local de Claude Code y devuelve un porcentaje por regla. Sin instalar nada, sin red, biblioteca estándar.

    github实测增长打开来源 ↗

    安装 git clone https://github.com/jleonceo/adherencia-reglas ~/.claude/skills/adherencia-reglas

    1GitHub 星标稳定
  23. 23

    技能
    活跃

    Real-time execution trace and cost intelligence for Claude Code

    github实测增长打开来源 ↗

    安装 /plugin marketplace add DeibyGS/claudestat

    34GitHub 星标稳定
  24. 24
    活跃

    Claude Code skills where every entry ships receipts — accuracy-gated benchmarks against baseline and placebo, rejects published

    github实测增长打开来源 ↗

    安装 git clone https://github.com/sjh9714/skill-receipts ~/.claude/skills/skill-receipts

    2GitHub 星标稳定
  25. 25

    智能体
    活跃

    A2A green-agent orchestrator for evaluating agents on the AppWorld benchmark, built on the AgentBeats SDK

    github实测增长打开来源 ↗

    0GitHub 星标稳定