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

123

工具排名

Ranked by creation date, newest first; undated entries come last. 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
    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
  3. 3

    其他
    活跃

    AI SRE AgenticOps for Kubernetes and cloud infrastructure.

    github实测增长打开来源 ↗

    782GitHub 星标+1 (+0.13 %)
  4. 4

    其他
    活跃

    🔑 HomeStream · 家园·流 — 零成本自托管多Agent协作框架,通往AI世界的那把钥匙 | Zero-cost self-hosted multi-agent framework — The key to AI world

    github实测增长打开来源 ↗

    0GitHub 星标稳定
  5. 5

    技能
    活跃

    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/bakeoff

    10GitHub 星标稳定
  6. 6

    技能
    活跃

    The Fable Workflow: how Claude Fable 5 worked, distilled into skills any model can run, with the eval that keeps it honest. Think / act / prove.

    github实测增长打开来源 ↗

    安装 git clone https://github.com/Sahir619/fable-method ~/.claude/skills/fable-method

    2 273GitHub 星标+11 (+0.49 %)
  7. 7

    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 %)
  8. 8
    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 %)
  9. 9
    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 %)
  10. 10
    活跃

    Claude Code plugin marketplace — agentic-engineering (spec-driven shape→decide→execute→measure→eval with adversarial review) + github-keeper (audit/elevate READMEs and make a repo open-source-ready).

    github实测增长打开来源 ↗

    安装 /plugin marketplace add GiustoPiedimonte/agentic-engineering-marketplace

    13GitHub 星标稳定
  11. 11

    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
  12. 12
    活跃

    Multi-tier framework for evaluating AI agent skills with quality gates, semantic overlap detection, synthetic evaluation dataset generation, and live agent evaluation that measures how skills affect agent behavior.

    github实测增长打开来源 ↗

    安装 git clone https://github.com/NVIDIA/SkillEvaluator ~/.claude/skills/SkillEvaluator

    399GitHub 星标+51 (+14.7 %)
  13. 13

    智能体
    活跃

    Agent 降智检测与自愈公评网络 — an immune system for the AI agent society

    github实测增长打开来源 ↗

    1GitHub 星标稳定
  14. 14

    智能体
    活跃

    DataBuff is an AI-native APM built on Opentelemetry,with multi-agent troubleshooting out of the box.

    github实测增长打开来源 ↗

    649GitHub 星标+39 (+6.4 %)
  15. 15

    智能体
    活跃

    A local A2A event and continuity service for agent applications, with structured history, provenance-safe transcripts, literal search, and natural-language queries.

    github实测增长打开来源 ↗

    1GitHub 星标稳定
  16. 16
    活跃

    Terminal-first validation harness for reviewing PRDs, RFCs, strategy docs, and experiment plans.

    github实测增长打开来源 ↗

    1GitHub 星标稳定
  17. 17
    活跃

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

    github估算动量打开来源 ↗

    47GitHub 星标
  18. 18

    智能体
    活跃

    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
  19. 19
    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 %)
  20. 20

    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
  21. 21

    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
  22. 22
    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

学习与参考资源

Ranked by creation date, newest first; undated entries come last. 这些资源可单独访问,不参与主要排名。

  1. 1
    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 %)
  2. 2
    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
  3. 3

    tunelab

    技能
    活跃打开来源 ↗

    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 /plugin marketplace add rchaz/tunelab

    资源实测增长
    6GitHub 星标稳定