Le descrizioni degli strumenti sono in inglese.
Osservabilità LLM
Monitoraggio, tracce, valutazione e qualità delle applicazioni LLM.
Utilizzo
Attività
Ordina per
121
Classifica degli strumenti
Classifica per crescita misurata e normalizzata tra le fonti. I valori grezzi mantengono la propria finestra; una variazione richiede almeno due rilevazioni in 7 giorni.
- 1Attivo
agent-stack
SkillProduction patterns for agent orchestrators, harnesses, evals, MCP/A2A interoperability, memory, provider routing, and LLM usage metering.
githubcrescita misurataApri fonte ↗
Installa
git clone https://github.com/ssheleg/agent-stack ~/.claude/skills/agent-stack2stelle GitHubstabile - 2Dormiente
🔍 AI observability skill for Claude Code. Debug LangChain/LangGraph agents by fetching execution traces from LangSmith Studio directly in your terminal.
githubcrescita misurataApri fonte ↗
Installa
git clone https://github.com/OthmanAdi/langsmith-fetch-skill ~/.claude/skills/langsmith-fetch-skill27stelle GitHubstabile - 3Dormiente
CustoFlow
AltroMulti-agent customer support system with Google ADK & Gemini 2.5 Flash Lite. Kaggle capstone demonstrating 11+ concepts. Automates 80%+ queries, <10s response time.
githubcrescita misurataApri fonte ↗
2stelle GitHubstabile - 4Dormiente
astragraph
AgentePolicy-enforced observability and fail-closed guardrails for MCP/A2A multi-agent systems.
githubcrescita misurataApri fonte ↗
26stelle GitHubstabile - 5Dormiente
Agents-eval
AgenteA Multi-Agent System (MAS) evaluation framework using PydanticAI that generates and evaluates scientific paper reviews through a three-tiered assessment approach: traditional metrics, LLM-as-a-Judge, and graph-based complexity analysis.
githubcrescita misurataApri fonte ↗
2stelle GitHubstabile - 6Attivo
Sentry instrumentation skill for system-behavior tracking
githubcrescita misurataApri fonte ↗
Installa
git clone https://github.com/tortastudios/sentry-instrumentation ~/.claude/skills/sentry-instrumentation24stelle GitHubstabile - 7Attivo
Multi-agent quality gate skill for Claude Code that researches, reviews, tests and challenges AI-generated work before the final answer.
githubcrescita misurataApri fonte ↗
Installa
git clone https://github.com/ma-nucho-pro/supervisor-skill-claude ~/.claude/skills/supervisor-skill-claude2stelle GitHubstabile - 8Attivo
CodeFlow
Agente面向长程研发任务的 Java Agent Harness,支持 A2A 跨语言协作、可恢复执行、上下文工程与 Eval 驱动开发。
githubcrescita misurataApri fonte ↗
0stelle GitHubstabile - 9Attivo
skill-receipts
SkillClaude Code skills where every entry ships receipts — accuracy-gated benchmarks against baseline and placebo, rejects published
githubcrescita misurataApri fonte ↗
Installa
git clone https://github.com/sjh9714/skill-receipts ~/.claude/skills/skill-receipts2stelle GitHubstabile - 10Attivo
Deterministic, local-only audit reports for Claude Code AI agent sessions. Rust + SQLite. Zero network calls. MCP server for agents.
githubcrescita misurataApri fonte ↗
22stelle GitHubstabile - 11Attivo
nudge
MCPA typed, replayable, budget-aware programming language for LLM agents. Compiles to Python & TypeScript.
githubcrescita misurataApri fonte ↗
2stelle GitHubstabile - 12Attivo
sre-on-call
AgenteMulti-agent SRE on-call investigator that auto-triages Slack/Discord infrastructure alerts via AWS Bedrock AgentCore, fanning out to specialized agents (CloudWatch, EKS, Slack/Discord scanners) for parallel investigation.
githubcrescita misurataApri fonte ↗
3stelle GitHubstabile - 13Attivo
rashomon
SkillMeasure prompt and skill improvements with blind A/B comparison.
githubcrescita misurataApri fonte ↗
Installa
/plugin marketplace add shinpr/rashomon18stelle GitHubstabile - 14Dormiente
agenttap
AgenteReal-time debugging proxy for Agent2Agent (A2A) multi-agent systems
githubcrescita misurataApri fonte ↗
3stelle GitHubstabile - 15Attivo
headsup
SkillGlanceable 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,…
githubcrescita misurataApri fonte ↗
Installa
git clone https://github.com/wasulajr/headsup ~/.claude/skills/headsup1stelle GitHubstabile - 16Attivo
sc-prism-releases
SkillRun many AIs on one board and keep control of all of it. Deterministic code decides who acts — never a model. A privacy floor keeps sensitive work on your machine, your own tests decide what counts as done, and every action lands on a…
githubcrescita misurataApri fonte ↗
Installa
git clone https://github.com/sandhusukhdeep2/sc-prism-releases ~/.claude/skills/sc-prism-releases1stelle GitHubstabile - 17Attivo
verdict-contract
SkillYour LLM reviewer said APPROVE. Did it? A structured verdict contract: prompt rule + parser + exit-code gate in one stdlib file, with the 42 counterexamples that forced every line. Free, MIT.
githubcrescita misurataApri fonte ↗
Installa
git clone https://github.com/tonydzi/verdict-contract ~/.claude/skills/verdict-contract2stelle GitHubstabile
Risorse didattiche e di riferimento
Classifica per crescita misurata e normalizzata tra le fonti. Queste risorse restano accessibili separatamente e non partecipano alla classifica principale.
- 1AttivoApri fonte ↗
trigger_tree
SkillDocumentation-discovery telemetry for Claude Code — heat/cold maps, health grade, evidence-backed router fixes. 100% local, zero tokens. /tt
githubInstalla
Risorsacrescita misurata/plugin marketplace add Hedde/trigger_tree14stelle GitHubstabile - 2AttivoApri fonte ↗
Handbook técnico aberto sobre engenharia de IA em produção: ML tradicional, LLMs, RAG, agentes, segurança, observabilidade, FinOps e deployment.
githubRisorsacrescita misurata1stelle GitHubstabile - 3AttivoApri fonte ↗
Agentic_AI_Engineer
AgenteMy complete journey to becoming an Agentic AI Engineer through structured learning, projects, experiments, and production-ready implementations of modern AI systems.
githubRisorsacrescita misurata18stelle GitHubstabile - 4AttivoApri fonte ↗
tunelab
SkillClaude 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.
githubInstalla
Risorsacrescita misurata/plugin marketplace add rchaz/tunelab6stelle GitHubstabile