Die Werkzeugbeschreibungen sind auf Englisch.

LLM-Beobachtbarkeit

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

Anwendungsfall

Aktivität

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123

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

    Skill
    Aktiv

    Open-source infrastructure that turns scattered SKILL.md files into curated, retrieval-ready agent-skill corpora—with retrieval and evaluation tooling included.

    githubgemessenes WachstumQuelle öffnen ↗

    Installieren git clone https://github.com/EverMind-AI/SkillCorpus ~/.claude/skills/SkillCorpus

    360GitHub-Sterne+168 (+87.5 %)
  2. 2
    Aktiv

    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.

    githubgemessenes WachstumQuelle öffnen ↗

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

    363GitHub-Sterne+58 (+19.0 %)
  3. 3

    Skill
    Aktiv

    Research-backed, eval-driven skills for AI agents

    githubgemessenes WachstumQuelle öffnen ↗

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

    138GitHub-Sterne+21 (+17.9 %)
  4. 4

    Agent
    Aktiv

    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…

    githubgemessenes WachstumQuelle öffnen ↗

    146GitHub-Sterne+13 (+9.8 %)
  5. 5
    Aktiv

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

    githubgemessenes WachstumQuelle öffnen ↗

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

    72GitHub-Sterne+4 (+5.9 %)
  6. 6
    Aktiv

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

    githubgemessenes WachstumQuelle öffnen ↗

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

    131GitHub-Sterne+5 (+4.0 %)
  7. 7

    Agent
    Aktiv

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

    githubgemessenes WachstumQuelle öffnen ↗

    627GitHub-Sterne+22 (+3.6 %)
  8. 8
    Aktiv

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

    githubgemessenes WachstumQuelle öffnen ↗

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

    96GitHub-Sterne+3 (+3.2 %)
  9. 9
    Aktiv

    YAO = Yielding AI Outcomes. A rigorous engineering, evaluation, governance, and portability system for reusable agent skills.

    githubgemessenes WachstumQuelle öffnen ↗

    Installieren git clone https://github.com/yaojingang/yao-meta-skill ~/.claude/skills/yao-meta-skill

    2 565GitHub-Sterne+58 (+2.3 %)
  10. 10
    Aktiv

    A test runner for agentskills.io-style AI agent skills

    githubgemessenes WachstumQuelle öffnen ↗

    Installieren git clone https://github.com/darkrishabh/agent-skills-eval ~/.claude/skills/agent-skills-eval

    713GitHub-Sterne+12 (+1.7 %)
  11. 11

    Skill
    Aktiv

    local-first analytics for AI agent skills

    githubgemessenes WachstumQuelle öffnen ↗

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

    77GitHub-Sterne+1 (+1.3 %)
  12. 12
    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-Sterne+1 (+1.3 %)
  13. 13
    Aktiv

    A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.

    githubgemessenes WachstumQuelle öffnen ↗

    1 752GitHub-Sterne+22 (+1.3 %)
  14. 14
    Aktiv

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

    githubgemessenes WachstumQuelle öffnen ↗

    Installieren git clone https://github.com/FrancyJGLisboa/agent-skill-creator ~/.claude/skills/agent-skill-creator

    2 358GitHub-Sterne+29 (+1.2 %)
  15. 15

    Skill
    Aktiv

    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.

    githubgemessenes WachstumQuelle öffnen ↗

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

    2 269GitHub-Sterne+22 (+0.98 %)
  16. 16
    Aktiv

    Self improving agents through iterations

    githubgemessenes WachstumQuelle öffnen ↗

    105GitHub-Sterne+1 (+0.96 %)
  17. 17

    Skill
    Aktiv

    OpenJudge: A Unified Framework for Holistic Evaluation and Quality Rewards

    githubgemessenes WachstumQuelle öffnen ↗

    Installieren git clone https://github.com/agentscope-ai/OpenJudge ~/.claude/skills/OpenJudge

    807GitHub-Sterne+7 (+0.88 %)
  18. 18
    Aktiv

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

    githubgemessenes WachstumQuelle öffnen ↗

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

    237GitHub-Sterne+2 (+0.85 %)
  19. 19

    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 ↗

    258GitHub-Sterne+2 (+0.78 %)
  20. 20
    Aktiv

    Dashboard for monitoring claude code sessions.

    githubgemessenes WachstumQuelle öffnen ↗

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

    321GitHub-Sterne+2 (+0.63 %)
  21. 21

    Skill
    Aktiv

    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.

    githubgemessenes WachstumQuelle öffnen ↗

    Installieren git clone https://github.com/tripleyak/SkillForge ~/.claude/skills/SkillForge

    884GitHub-Sterne+5 (+0.57 %)
  22. 22

    Sonstige
    Aktiv

    Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and more. Simple declarative configs with command line and CI/CD integration. Used by OpenAI…

    githubgemessenes WachstumQuelle öffnen ↗

    24 710GitHub-Sterne+137 (+0.56 %)
  23. 23

    Sonstige
    Aktiv

    Open source observability platform for logs, metrics, traces, frontend monitoring, pipelines and LLM observability. A sophisticated, simple and highly performant alternative to Datadog, Splunk, and Elasticsearch with 140x lower storage…

    githubgemessenes WachstumQuelle öffnen ↗

    21 594GitHub-Sterne+119 (+0.55 %)
  24. 24

    Sonstige
    Aktiv

    the LLM vulnerability scanner

    githubgemessenes WachstumQuelle öffnen ↗

    9 079GitHub-Sterne+46 (+0.51 %)

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-Sterne+1 (+1.3 %)