log analyzer cloud

    1

    Analyze Azure, AWS, and GCP logs to diagnose errors, identify security leaks, and generate provider-specific queries.

    $1

    Secure checkout via Stripe

    Money-back guarantee

    Converts to your local currency at checkout

    Security scanned

    Works with the AI Agents you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+22 more

    log analyzer cloud

    Example session with this skill installed

    Analyze these AWS logs: 2023-10-27T10:00:00Z arn:aws:lambda:us-east-1:123456789012:function:my-func REPORT RequestId: 8888-9999-0000 Duration: 15000.00 ms Memory Size: 128 MB Max Memory Used: 128 MB.

    • Read your context and instructions
    • Compiled the log analyzer cloud

    The logs indicate a resource exhaustion issue in an AWS Lambda function, likely leading to a timeout and potential Out of Memory (OOM) condition.

    REPORTE DE ANÁLISIS DE LOG — CLOUD

    SECCIÓNDETALLE
    Tecnología / ServicioAWS / Lambda
    EntornoNo declarado (asumiendo evaluación técnica)
    Período log2023-10-27 10:00:00Z
    DiagnósticoFunción Lambda alcanzó el tiempo límite (Timeout) y agotó la memoria asignada.

    Hallazgos

    • 🔴 CRÍTICO: Duration: 15000.00 ms. La ejecución alcanzó exactamente 15 segundos, sugiriendo un hard timeout.
    • 🔴

    CRÍTICO: Memory Size: 128 MB / Max Memory Used: 128 MB. La función está operando al límite de memoria, lo que suele causar fallos Runtime exited: signal: killed.

    • ⚠️

    DATOS SENSIBLE: ARN expuesto: <span style="color:red;font-weight:bold">arn:aws:lambda:us-east-1:123456789012:function:my-func</span> (Revela Account ID y Región).

    Consulta CloudWatch Insights

    fields @timestamp, @message

| filter @message like /REPORT/
| filter @maxMemoryUsed >= @memorySize
| sort @timestamp desc

    Next steps

    1. Aumentar la memoria de la función Lambda a 256MB o 512MB para reducir la presión del GC y mejorar el performance.
    2. Revisar si el timeout de la función está configurado en 15s y extenderlo si el procesamiento es pesado.
    3. Verificar si el Account ID 123456789012 debe ser anonimizado en reportes externos.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Debugging distributed cloud systems often feels like searching for a needle in a haystack of unstructured text. This skill parses raw logs from Azure, AWS, and GCP to provide structured diagnostic reports and security alerts.

    What it does

    • Provider Identification automatically detects whether logs originate from AWS, Azure, or GCP based on service-specific patterns and identifiers.
    • Sensitive Data Detection flags exposed credentials like AWS Access Keys (AKIA), Azure Tenant IDs, and GCP Service Account emails to prevent security leaks.
    • Root Cause Mapping connects provider-specific error codes, such as AADSTS codes or IAM AccessDenied errors, to actionable configuration fixes.
    • Query Generation produces ready-to-use KQL, CloudWatch Insights, or Cloud Logging queries to help you drill deeper into the timeline.
    • Health Assessment categorizes findings into critical failures, warnings, and notable events with environment-specific context.

    How it works

    1. Input raw logs into the chat, including fragments from CloudWatch, Application Insights, or Cloud Logging.
    2. Answer clarifying questions regarding the provider, service, or environment if the context is missing.
    3. Receive a structured report containing a technical summary, security warnings, and specific troubleshooting steps.

    Frameworks & tools

    Supports AWS CloudWatch, CloudTrail, and Lambda; Azure Monitor, Application Insights, and Entra ID (AD); GCP Cloud Logging, Cloud Run, and GKE.

    Why this beats prompting it yourself

    Generic prompts often hallucinate cross-cloud terminology or miss high-risk security leaks like exposed ARNs and AKIAs. This skill follows a strict diagnostic protocol that prioritizes security hygiene and provider-specific error mapping.

    Use cases

    • Debugging Lambda timeouts or OOM errors in AWS production environments.
    • Resolving complex RBAC and AADSTS authentication failures in Azure App Services.
    • Investigating Cloud Run container startup failures and GCP IAM permission gaps.
    • Identifying leaked credentials and private IPs in public audit logs.

    Known limitations

    Does not perform live API calls to your cloud console. Requires manual input of IAM policies or resource names if they are not present in the provided log snippet.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

    Reviews

    No reviews yet

    Be one of the first to try it. Every listed skill passes our trust checks below.

    Security scanned

    Passed our 8-point scan before listing

    Fresh listing

    Recently published to Agensi

    Money-back guarantee

    Doesn't do what its page promises? You get your money back.

    Trust & safety

    Security scanned

    Verified clean today

    • Passed all security checks, Safe to install

    Listedtoday

    What's inside

    Frequently Asked Questions