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

Ranked by normalized popularity across sources. 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
    活跃

    Dashboard for monitoring claude code sessions.

    github实测增长打开来源 ↗

    安装 /plugin marketplace add JayantDevkar/claude-code-karma

    323GitHub 星标+2 (+0.62 %)
  2. 2

    MCP
    活跃

    AURA is a production-tested SRE agent platform you can deploy in minutes. AURA handles the guardrails, APIs, state management, streaming, and failure handling required to put AI to work safely on production infrastructure.

    github实测增长打开来源 ↗

    254GitHub 星标-3 (-1.2 %)
  3. 3

    技能
    活跃

    🪢 Langfuse documentation -- Langfuse is the open source LLM Engineering Platform. Observability, evals, prompt management, playground and metrics to debug and improve LLM apps

    github实测增长打开来源 ↗

    安装 git clone https://github.com/langfuse/langfuse-docs ~/.claude/skills/langfuse-docs

    239GitHub 星标+3 (+1.3 %)
  4. 4
    活跃

    🟪 Open-source runtime that ships any LangGraph or Google ADK agent as a production-ready FastAPI service. Bundled , AG-UI copilotkit API, chat UI, 15+ guardrails, MCP, OpenTelemetry, OIDC. One pip install. Self-hosted, no vendor lock-in.

    github实测增长打开来源 ↗

    安装 git clone https://github.com/Idun-Group/idun-agent-platform ~/.claude/skills/idun-agent-platform

    198GitHub 星标-1 (-0.50 %)
  5. 5

    智能体
    活跃

    The Operating System for Scalable Enterprise AI Agents - Run, orchestrate, and deploy Compliant Enterprise AI Agents at scale across frameworks, without lock-in, rewrites or fragile glue code. Native support for MCP, A2A. Interface with all…

    github实测增长打开来源 ↗

    156GitHub 星标+19 (+13.9 %)
  6. 6

    技能
    活跃

    Research-backed, eval-driven skills for AI agents

    github实测增长打开来源 ↗

    安装 git clone https://github.com/ZSeven-W/craft-skills ~/.claude/skills/craft-skills

    142GitHub 星标+18 (+14.5 %)
  7. 7

    其他
    活跃

    Evidence-first infrastructure for reproducible, isolated executable evaluation and online rewards.

    github实测增长打开来源 ↗

    140GitHub 星标+24 (+20.7 %)
  8. 8
    活跃

    🐙 ADLC Team Skills — Agentic SDLC for Engineering Teams

    github实测增长打开来源 ↗

    安装 git clone https://github.com/tikalk/adlc-team-skills ~/.claude/skills/adlc-team-skills

    132GitHub 星标+1 (+0.76 %)
  9. 9
    活跃

    Skills, prompts, and instructions for building AI agents on top of Dynatrace production context

    github实测增长打开来源 ↗

    安装 git clone https://github.com/Dynatrace/dynatrace-for-ai ~/.claude/skills/dynatrace-for-ai

    132GitHub 星标+4 (+3.1 %)
  10. 10

    其他
    活跃

    Self-hosted AI SRE for Kubernetes — zero-instrumentation eBPF observability plus a copilot that fixes issues through guardrailed, self-verifying actions. BYO-LLM, air-gapped capable.

    github实测增长打开来源 ↗

    131GitHub 星标-4 (-3.0 %)
  11. 11
    活跃

    74 open-source Agent Skills for Claude Code and Codex: AI SEO, AEO and GEO, code review with an A-F ship grade, CI gates, AI evals, design systems, conversion copy, Instagram growth, iOS and Android app shipping, creator rights, and…

    github实测增长打开来源 ↗

    129GitHub 星标-4 (-3.0 %)
  12. 12
    活跃

    A 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
  13. 13
    活跃

    Self improving agents through iterations

    github实测增长打开来源 ↗

    105GitHub 星标+1 (+0.96 %)
  14. 14
    活跃

    Vendor-neutral OpenTelemetry skills for AI coding agents, grounded in upstream sources

    github实测增长打开来源 ↗

    安装 git clone https://github.com/ollygarden/opentelemetry-agent-skills ~/.claude/skills/opentelemetry-agent-skills

    97GitHub 星标+4 (+4.3 %)
  15. 15

    技能
    休眠

    Don't make LLMs honest. Make every factual claim auditable. — An LLM Claim Auditing Layer with T1-T7 truth gradients. 98.1% business effectiveness on LiarBench v0.2.

    github实测增长打开来源 ↗

    安装 git clone https://github.com/lc198707/anti-lie ~/.claude/skills/anti-lie

    89GitHub 星标稳定
  16. 16
    活跃

    MCP server for Langfuse LLM observability — trace and observation analysis.

    mcp实测增长打开来源 ↗

    安装 claude mcp add langfuse -- npx langfuse-observability-mcp-server

    78GitHub 星标稳定
  17. 17

    技能
    活跃

    local-first analytics for AI agent skills

    github实测增长打开来源 ↗

    安装 git clone https://github.com/crafter-station/skill-kit ~/.claude/skills/skill-kit

    77GitHub 星标+1 (+1.3 %)
  18. 18
    活跃

    Agent Skill evaluation harness for paired variants, trace artifacts, and runner adapters

    github实测增长打开来源 ↗

    安装 git clone https://github.com/adewale/skill-eval-harness ~/.claude/skills/skill-eval-harness

    73GitHub 星标+4 (+5.8 %)
  19. 19

    其他
    活跃

    AgentX python SDK. Build multi-agent AI workforce. Run evaluation. Trace your agent. Full Observability.

    github实测增长打开来源 ↗

    68GitHub 星标稳定
  20. 20

    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

    55GitHub 星标+27 (+96.4 %)
  21. 21
    活跃

    Open benchmark for Claude Code SEO skills — real headless execution against fixture sites with planted-defect answer keys. Deterministic scoring, pre-registered rubric.

    github实测增长打开来源 ↗

    安装 git clone https://github.com/aleclindz/seo-skill-bench ~/.claude/skills/seo-skill-bench

    51GitHub 星标-5 (-8.9 %)
  22. 22

    MCP
    活跃

    Open-source, self-hosted control plane for OpenClaw and Hermes AI-agent fleets on Docker/Kubernetes — REST, CLI, and MCP.

    github实测增长打开来源 ↗

    50GitHub 星标+2 (+4.2 %)
  23. 23

    技能
    活跃

    Agent skills for Arize — datasets, experiments, and traces via the ax CLI

    github实测增长打开来源 ↗

    安装 git clone https://github.com/Arize-ai/arize-skills ~/.claude/skills/arize-skills

    47GitHub 星标稳定
  24. 24
    活跃

    Optimize any AI agent’s skills, tools/MCP, and prompts against your own evals.

    github实测增长打开来源 ↗

    47GitHub 星标+1 (+2.2 %)

学习与参考资源

Ranked by normalized popularity across sources. 这些资源可单独访问,不参与主要排名。

  1. 1
    活跃打开来源 ↗

    Curated + scored map of official MCP servers and agents for DevOps, Cloud, SRE, and Platform Engineering — every entry rated on production access, approval gates, and audit evidence.

    github资源实测增长
    77GitHub 星标稳定