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活跃
A skill creator that proves its skills work. Evidence-driven skill creation for Claude Code and Codex: baseline-tested generation, per-skill regression evals, ecosystem doctor, cross-runtime compile, and an opt-in proactive advisor.
github实测增长打开来源 ↗
安装
git clone https://github.com/tripleyak/SkillForge ~/.claude/skills/SkillForge884GitHub 星标-1 (-0.11 %) - 2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-platform199GitHub 星标稳定 - 3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 %) - 4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 %) - 5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 - 6休眠
anti-lie
技能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-lie89GitHub 星标稳定 - 7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 - 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-bench51GitHub 星标-5 (-8.9 %) - 9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-skills47GitHub 星标稳定 - 10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/claudestat34GitHub 星标稳定 - 11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-skill27GitHub 星标稳定 - 12休眠
astragraph
智能体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 - 13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-instrumentation24GitHub 星标稳定 - 14活跃
untell
其他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 - 15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 - 16活跃
Two Claude Code skills for adversarial code review (single-model PAR and multi-model MMAR with cross-critique to catch hallucinations), plus a fixture-based eval suite.
github实测增长打开来源 ↗
安装
/plugin marketplace add prime-radiant-inc/parallel-adversarial-review17GitHub 星标稳定 - 17休眠
MCP as a Judge: a behavioral MCP that strengthens AI coding assistants via explicit LLM evaluations
mcp实测增长打开来源 ↗
安装
claude mcp add mcp-as-a-judge -- uvx mcp-as-a-judge17GitHub 星标稳定 - 18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 - 19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-marketplace13GitHub 星标稳定 - 20休眠
A Claude Code skill that adds a rubric-based eval layer to any agent project. Framework-agnostic — generates rubric, test cases, judge prompt, and harness. Returns a weighted score plus a judge-leniency signal.
github实测增长打开来源 ↗
13GitHub 星标稳定 - 21活跃
Query Spanlens LLM observability from Cursor, Claude Desktop, or Continue via MCP.
mcp实测增长打开来源 ↗
安装
claude mcp add mcp-server -- npx @spanlens/mcp-server12GitHub 星标稳定 - 22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 - 23活跃
galdor
其他A Go-native framework for LLM agents, with OpenTelemetry observability built in.
github实测增长打开来源 ↗
10GitHub 星标稳定
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 - 2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