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

75

工具排名

混合排名:实测增长优先。 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

    Architecture-first Python scaffold for an auditable multi-agent corporate credit desk using A2A, MCP, deterministic credit policies, model routing, and OpenTelemetry.

    github实测增长打开来源 ↗

    0GitHub 星标稳定
  2. 2

    技能
    活跃

    Marketing Mix Model expert agent plugin for Claude Code - pymc-marketing v0.18.2+

    github实测增长打开来源 ↗

    安装 /plugin marketplace add Yakoub-ai/agent-mmm

    4GitHub 星标稳定
  3. 3
    活跃

    Governed local-LLM observability: model policy, prompt scanner, capture proxy, 21 tools.

    mcp实测增长打开来源 ↗

    安装 claude mcp add ai-guardian -- uvx ai-guardian-aiops

    0GitHub 星标稳定
  4. 4

    智能体
    活跃

    Local-first control plane for durable, governed agent teams: DAG orchestration, approvals, memory, signed skills, trace contracts, and realtime.

    github实测增长打开来源 ↗

    0GitHub 星标稳定
  5. 5

    智能体
    活跃

    Deterministic crash tests for agent control planes: paired worlds, hard stops, budgets, scopes, approvals, and hash-linked receipts.

    github实测增长打开来源 ↗

    1GitHub 星标稳定
  6. 6

    技能
    活跃

    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/headsup

    1GitHub 星标稳定
  7. 7

    智能体
    活跃

    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
  8. 8
    活跃

    Vendor-neutral OpenTelemetry tracing for A2A agents and MCP services, with W3C context propagation and privacy-safe telemetry.

    github实测增长打开来源 ↗

    1GitHub 星标稳定
  9. 9

    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 %)
  10. 10

    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
  11. 11

    智能体
    活跃

    The agent framework where the model never holds the trigger — every consequential action clears your policy first, waits for a human when it matters, and lands on a record you can verify. Build on it, or put it around the agent you already…

    github实测增长打开来源 ↗

    1GitHub 星标稳定
  12. 12
    活跃

    Local-first Agentic AI Infrastructure Platform with LLM Gateway, Agent DAG Runtime, MCP Tool Hub, A2A Agent Mesh, Local RAG, Tool Sandbox and Observability.

    github实测增长打开来源 ↗

    1GitHub 星标稳定
  13. 13
    活跃

    AgentGateway — independent third-party profile of a public API surface, by API Evangelist. AgentGateway is an open-source, AI-native proxy and gateway for routing, observing, and governing traffic to and from AI agents, LLM providers, and…

    github实测增长打开来源 ↗

    0GitHub 星标稳定
  14. 14
    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 %)
  15. 15

    MCP
    活跃

    A typed, replayable, budget-aware programming language for LLM agents. Compiles to Python & TypeScript.

    github实测增长打开来源 ↗

    2GitHub 星标稳定
  16. 16

    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
  17. 17
    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-claude

    2GitHub 星标稳定
  18. 18

    技能
    活跃

    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/rashomon

    18GitHub 星标稳定
  19. 19

    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 %)
  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

    76GitHub 星标+48 (+171.4 %)
  21. 21
    活跃

    Mini Program Engineering Skill Suite is an Agent Skill suite for evidence‑first mini‑program development. It helps agents bring WeChat or other mini‑program projects from vague intent to reliable engineering work: project intake, product…

    github实测增长打开来源 ↗

    安装 git clone https://github.com/NocodeMrLi/mini-program-engineering-skill-suite ~/.claude/skills/mini-program-engineering-skill-suite

    43GitHub 星标+4 (+10.3 %)
  22. 22
    活跃

    Build tested agent skills and govern their lifecycle through a user-defined marketplace: evidence, discovery, updates, rollback, quarantine, and 17-platform distribution.

    github估算动量打开来源 ↗

    安装 git clone https://github.com/FrancyJGLisboa/agent-skills-platform ~/.claude/skills/agent-skills-platform

    2 376GitHub 星标

学习与参考资源

按实测增长排序,并在不同来源间归一化。 这些资源可单独访问,不参与主要排名。

  1. 1
    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 /plugin marketplace add Hedde/trigger_tree

    资源实测增长
    14GitHub 星标+1 (+7.7 %)
  2. 2
    活跃打开来源 ↗

    50+ curated LLM observability tools PLUS 26 Agent Skills (several with runnable, unit-tested scripts) to build, evaluate, debug, secure & monitor reliable LLM apps. Tracing, evals, guardrails, LLMOps.

    github

    安装 git clone https://github.com/ContextJet-ai/awesome-llm-observability ~/.claude/skills/awesome-llm-observability

    资源实测增长
    33GitHub 星标+3 (+10.0 %)
  3. 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