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LLM-Beobachtbarkeit

Monitoring, Traces, Bewertung und Qualität von LLM-Anwendungen.

Anwendungsfall

Aktivität

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122

Werkzeug-Rangliste

Nach gemessenem Wachstum und quellenübergreifend normalisiert sortiert. Rohwerte behalten ihr eigenes Zeitfenster; eine Änderung erfordert mindestens zwei Messungen in 7 Tagen.

  1. 1

    MCP
    Aktiv

    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.

    githubgemessenes WachstumQuelle öffnen ↗

    254GitHub-Sterne-3 (-1.2 %)
  2. 2
    Aktiv

    🟪 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.

    githubgemessenes WachstumQuelle öffnen ↗

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

    198GitHub-Sterne-1 (-0.50 %)
  3. 3

    Sonstige
    Aktiv

    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.

    githubgemessenes WachstumQuelle öffnen ↗

    131GitHub-Sterne-4 (-3.0 %)
  4. 4
    Aktiv

    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…

    githubgemessenes WachstumQuelle öffnen ↗

    129GitHub-Sterne-4 (-3.0 %)
  5. 5
    Aktiv

    A Model Context Protocol (MCP) server for Langfuse, enabling AI agents to query Langfuse trace data for enhanced debugging and observability

    githubgemessenes WachstumQuelle öffnen ↗

    105GitHub-Sternestabil
  6. 6

    Skill
    Ruhend

    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.

    githubgemessenes WachstumQuelle öffnen ↗

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

    89GitHub-Sternestabil
  7. 7
    Aktiv

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

    mcpgemessenes WachstumQuelle öffnen ↗

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

    78GitHub-Sternestabil
  8. 8

    Sonstige
    Aktiv

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

    githubgemessenes WachstumQuelle öffnen ↗

    68GitHub-Sternestabil
  9. 9
    Aktiv

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

    githubgemessenes WachstumQuelle öffnen ↗

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

    51GitHub-Sterne-5 (-8.9 %)
  10. 10

    Skill
    Aktiv

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

    githubgemessenes WachstumQuelle öffnen ↗

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

    47GitHub-Sternestabil
  11. 11
    Aktiv

    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.

    githubgemessenes WachstumQuelle öffnen ↗

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

    33GitHub-Sternestabil
  12. 12
    Ruhend

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

    githubgemessenes WachstumQuelle öffnen ↗

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

    27GitHub-Sternestabil
  13. 13

    Agent
    Ruhend

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

    githubgemessenes WachstumQuelle öffnen ↗

    26GitHub-Sternestabil
  14. 14
    Aktiv

    Sentry instrumentation skill for system-behavior tracking

    githubgemessenes WachstumQuelle öffnen ↗

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

    24GitHub-Sternestabil
  15. 15

    Sonstige
    Aktiv

    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…

    githubgemessenes WachstumQuelle öffnen ↗

    18GitHub-Sternestabil
  16. 16

    Skill
    Aktiv

    Measure prompt and skill improvements with blind A/B comparison.

    githubgemessenes WachstumQuelle öffnen ↗

    Installieren /plugin marketplace add shinpr/rashomon

    18GitHub-Sternestabil
  17. 17
    Aktiv

    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.

    githubgemessenes WachstumQuelle öffnen ↗

    Installieren /plugin marketplace add prime-radiant-inc/parallel-adversarial-review

    17GitHub-Sternestabil
  18. 18
    Ruhend

    MCP as a Judge: a behavioral MCP that strengthens AI coding assistants via explicit LLM evaluations

    mcpgemessenes WachstumQuelle öffnen ↗

    Installieren claude mcp add mcp-as-a-judge -- uvx mcp-as-a-judge

    17GitHub-Sternestabil
  19. 19
    Aktiv

    Make Claude write clearly, for everyone.

    githubgemessenes WachstumQuelle öffnen ↗

    Installieren /plugin marketplace add stefanobaghino/simple-output-styles

    16GitHub-Sternestabil
  20. 20
    Aktiv

    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).

    githubgemessenes WachstumQuelle öffnen ↗

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

    13GitHub-Sternestabil
  21. 21

    Sonstige
    Ruhend

    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.

    githubgemessenes WachstumQuelle öffnen ↗

    13GitHub-Sternestabil
  22. 22
    Aktiv

    Query Spanlens LLM observability from Cursor, Claude Desktop, or Continue via MCP.

    mcpgemessenes WachstumQuelle öffnen ↗

    Installieren claude mcp add mcp-server -- npx @spanlens/mcp-server

    12GitHub-Sternestabil
  23. 23

    Skill
    Aktiv

    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.

    githubgemessenes WachstumQuelle öffnen ↗

    Installieren /plugin marketplace add CoriChui/bakeoff

    10GitHub-Sternestabil

Lern- und Referenzressourcen

Nach gemessenem Wachstum und quellenübergreifend normalisiert sortiert. Diese Ressourcen bleiben getrennt zugänglich und fließen nicht in die Hauptwertung ein.

  1. 1
    AktivQuelle öffnen ↗

    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.

    githubRessourcegemessenes Wachstum
    77GitHub-Sternestabil
  2. 2
    AktivQuelle öffnen ↗

    My complete journey to becoming an Agentic AI Engineer through structured learning, projects, experiments, and production-ready implementations of modern AI systems.

    githubRessourcegemessenes Wachstum
    18GitHub-Sternestabil