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aws-sre-agent

v0.1.0

Site-reliability agent for AWS workloads: CloudWatch metrics, logs, alarms and Logs Insights, Application Signals SLOs, X-Ray/ADOT traces, CloudTrail change history, Amazon Managed Prometheus, and AWS Support case escalation.

CodexClaude CodeAgent Plugins15 Skills6 MCP serversstdio

By TalkOps AILicense: Apache-2.00 GitHub starsUpdated last week

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Runtimes
Codex, Claude Code, and Agent Plugins
Parsed components
21 skill or MCP entries
Source updated
Oct 10, 2026
Manifest status
Canonical path parsed

The directory validates manifest shape and source location. It does not execute the plugin or provide a security endorsement. Review the indexing methodology →

Install aws-sre-agent for Codex and Claude Code

Installs for the current user
codex plugin marketplace add talkops-ai/devops-plugins
codex plugin marketplace upgrade talkops-devops-plugins
codex plugin add aws-sre-agent@talkops-devops-plugins

Paste and run these commands in a terminal with Codex. They add and refresh the talkops-devops-plugins catalog, then install this plugin.

Compatibility: the page URL and API slug “aws-sre-agent” remain stable.

  • Codex: aws-sre-agent@agent-plugin-marketplace → aws-sre-agent@talkops-devops-plugins

The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.

Get the source manually
git clone https://github.com/talkops-ai/devops-plugins

Clone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is plugins/agent-plugins/aws-sre-agent/.

Plugin files

plugins/agent-plugins/aws-sre-agent/
├── .codex-plugin/plugin.json
├── .claude-plugin/plugin.json
├── plugin.json
├── skills/arc-region-switch/SKILL.md
├── skills/aws-fault-injection-service/SKILL.md
├── skills/aws-observability/SKILL.md
├── skills/aws-resilience-lifecycle/SKILL.md
├── skills/querying-aws-cloudwatch/SKILL.md
├── skills/recovery-controller-setup/SKILL.md
├── skills/resilience-hub-failure-mode-assessment/SKILL.md
├── skills/resilience-hub-getting-started/SKILL.md
├── skills/resilience-hub-multi-account/SKILL.md
├── skills/resilience-program-design/SKILL.md
├── skills/setting-up-cloudtrail-multi-region/SKILL.md
├── skills/setting-up-cloudwatch-alarm-notifications/SKILL.md
├── skills/setting-up-cloudwatch-observability/SKILL.md
├── skills/signing-in-to-aws/SKILL.md
├── skills/troubleshooting-application-failures/SKILL.md
└── .mcp.json

Included Skills15

arc-region-switchskills/arc-region-switch/SKILL.md

Answers questions about Amazon Application Recovery Controller (ARC) Region switch including architecture, plans, execution blocks, workflows, triggers, active/active vs active/passive, cross-account support, recovery time, dashboards, and customer positioning. Applicable when users ask about ARC Region switch adoption, design, or troubleshooting.

aws-fault-injection-serviceskills/aws-fault-injection-service/SKILL.md

Plans, builds, runs, and analyzes fault injection experiments with AWS Fault Injection Service (AWS FIS) to validate application resilience through chaos engineering. Covers experiment templates (actions, targets, stop conditions), the FIS actions catalog and action selection, the scenario library (AZ power interruption, cross-Region connectivity, EC2/EKS/EBS stress), experiment lifecycle and monitoring, logging and reports, multi-account experiments, the experiment IAM role, and blast-radius safety. Applies when a user mentions AWS FIS or fault injection, asks what experiment to run for a failure mode (AZ, Region, API errors/throttling, instance/pod/DB/cache failure, latency, packet loss), wants to author an experiment template or CLI/CloudFormation, or needs to safely run chaos experiments in pre-production or production. For the broader resilience program across Resilience Hub and ARC, see aws-resilience-lifecycle; for ARC routing controls and zonal shift, see recovery-controller-setup.

aws-observabilityskills/aws-observability/SKILL.md

Builds, configures, debugs, and optimizes AWS observability - operator-symptom questions and detecting Omni vs classic CloudWatch. CloudWatch on an already-reporting service: Log Insights, metric/composite/anomaly alarms, custom metrics/EMF, dashboards, X-Ray/ADOT tracing, canaries, CloudTrail, Dynamic Instrumentation (live breakpoints/snapshots), the Application Signals service map, and fleet health views. CloudWatch Omni on an existing Space: SQL over logs and traces, PromQL over metrics, Omni dashboards, Omni alerts, context graph for root cause, programmatic/IaC access (API/SDK/CLI/CloudFormation), driving Omni from a coding agent or skills, and evaluating AI agent quality from traces - on-demand and online scoring of live traffic, readback, custom evaluators. For first-time setup - creating an Omni Space, granting access, ingestion, or ADOT instrumentation for Application Signals (ServiceEvents, CI/CD metadata) or Omni - use setting-up-cloudwatch-observability. Not for app logging or threat detection.

aws-resilience-lifecycleskills/aws-resilience-lifecycle/SKILL.md

Guides the end-to-end AWS resilience lifecycle integrating Resilience Hub v2, Fault Injection Service, and Application Recovery Controller. Covers the Define → Test → Operate workflow: from policy creation through failure mode assessment, to FIS experiment validation, to ARC operational controls. Applicable when the user wants a complete resilience strategy, needs to connect findings to experiments to controls, or is planning a resilience program. Also applicable for the meta question of whether marking NGRH findings as resolved is enough, whether they are "done" after resolving findings, or how to validate findings before resolving them. Not applicable for resolving or remediating a specific individual finding (see resilience-hub-failure-mode-assessment), or when a single service is explicitly named (e.g. "what FIS experiment should I run").

querying-aws-cloudwatchskills/querying-aws-cloudwatch/SKILL.md

Runs SQL queries on CloudWatch Logs data exported as Apache Iceberg tables in S3 Tables. Covers VPC Flow Logs, WAF logs, CloudFront access logs, Route 53 resolver logs, Network Firewall logs, EKS audit logs, Verified Access logs, SES logs, VPC Lattice logs, Step Functions logs, NLB access logs, and 20+ other AWS vended data sources. Applies when analyzing network traffic, investigating security incidents, querying exported logs with SQL, enabling S3 Tables integration, configuring log export, correlating logs with other data, or running Athena queries on the aws-cloudwatch table bucket. Trigger phrases: query logs with SQL, analyze logs in Athena, SQL on VPC flow logs, investigate network traffic, run SQL on exported logs, enable S3 Tables for CloudWatch, correlate logs, historical log analysis, set up log querying.

recovery-controller-setupskills/recovery-controller-setup/SKILL.md

Configures AWS Application Recovery Controller (ARC) for operational resilience: routing controls with safety rules for cross-Region failover, and zonal shift / zonal autoshift for AZ-impairment recovery. Applies when setting up failover routing, configuring safety rules, enabling zonal shift, or configuring zonal autoshift with practice runs. Also applies when shifting traffic out of a specific Availability Zone (AZ) for an ALB/NLB or other resource. For a broader "an AZ is impaired, what is my response across services" question, see aws-resilience-lifecycle. Does not apply to Resilience Hub setup or FIS experiments.

resilience-hub-failure-mode-assessmentskills/resilience-hub-failure-mode-assessment/SKILL.md

Runs and interprets AWS Resilience Hub v2 failure mode assessments. Covers starting assessments, understanding findings (severity, categories, recommendations), triaging by achievability, working with AI-generated service functions, and resolving findings. Applies when the user wants to run an assessment, review findings, or understand failure modes, or has a specific finding and asks how to resolve, remediate, or fix it. Does not apply to initial setup (use resilience-hub-getting-started) or FIS experiments.

resilience-hub-getting-startedskills/resilience-hub-getting-started/SKILL.md

Sets up AWS Resilience Hub v2 from scratch: creates resilience policies with SLO targets, registers systems and user journeys, onboards services with input sources, and runs a first failure mode assessment. Applies when the user wants to get started with Resilience Hub v2, create a policy, onboard a service, or run an assessment — including creating one concrete policy with specific availability/RTO/RPO targets and a DR approach for a single service (even a tier-1 one). Does not apply to FIS experiments or ARC routing controls.

resilience-hub-multi-accountskills/resilience-hub-multi-account/SKILL.md

Configures AWS Resilience Hub v2 for multi-account resilience management across an AWS Organization. Covers the per-service cross-account permission model, cross-account IAM roles, and centralized assessment from a single account. Applies when the user wants to set up org-wide resilience or assess workloads that span multiple AWS accounts.

resilience-program-designskills/resilience-program-design/SKILL.md

Designs a resilience program: how to structure and standardize resilience policies across an organization, team, or portfolio (tiered policy model with availability/RTO/RPO targets and DR approach selection), and how often to run resilience activities (operational cadence). Applies when the user asks how to structure policies org-wide, what tiers/targets to set, which DR approach fits a tier, or how frequently to run assessments, FIS experiments, GameDays, or autoshift practice. Does not apply to creating or configuring a specific policy or resource for a single workload (use resilience-hub-getting-started), to step-by-step lifecycle execution (see aws-resilience-lifecycle), or to service-specific setup.

setting-up-cloudtrail-multi-regionskills/setting-up-cloudtrail-multi-region/SKILL.md

Enables a multi-region AWS CloudTrail trail with S3 log storage, CloudWatch Logs integration, and CloudWatch Logs Insights queries for security monitoring and compliance auditing. Use when setting up centralized API activity logging across all AWS regions.

setting-up-cloudwatch-alarm-notificationsskills/setting-up-cloudwatch-alarm-notifications/SKILL.md

Sets up notification channels for CloudWatch alarms using SNS topics and subscriptions. Always use this skill when configuring alarm notifications — it creates encrypted SNS topics, configures topic policies for CloudWatch access, sets up email/SMS/webhook subscriptions, and links alarms to notification actions with proper security controls.

setting-up-cloudwatch-observabilityskills/setting-up-cloudwatch-observability/SKILL.md

Sets up CloudWatch observability for the first time - Omni (CloudWatch Application Observability) and classic CloudWatch. Omni: creating a Space or Domain; access grants (who has access, at what level) and access profiles bounding async alerts, integrations, or agents; instrumenting an app or AI agent with the plain ADOT SDK so traces reach Omni (Python/Node/Java/.NET on EC2/ECS/EKS/Lambda), incl. no-image-rebuild and .NET CoreCLR vars; ingesting Azure telemetry via the CloudWatch agent on an Azure VM or AKS; connecting Slack to a Space; whether GitHub or a custom MCP tool server (HTTP/stdio; API key, bearer, OAuth2) can be connected. CloudWatch: onboarding a service to Application Signals - ADOT auto-instrumentation, the amazon-cloudwatch-observability add-on, monitored service, reporting telemetry, ServiceEvents, CI/CD git/deployment metadata, Terraform/manifest edits. For using what is set up - queries, dashboards, alarms, Omni alerts, X-Ray, synthetics, Dynamic Instrumentation - use aws-observability.

signing-in-to-awsskills/signing-in-to-aws/SKILL.md

Gets AWS credentials for CLI/SDK access via `aws login`. Activates when a developer needs to authenticate to AWS for local development, when an AWS operation fails due to missing or expired credentials, or when someone asks about setting up AWS access. Triggers: "set up AWS", "configure AWS", "aws login", "get credentials", "authenticate", "session expired", "token expired", "no credentials", "AccessDeniedException" with no configured credentials.

troubleshooting-application-failuresskills/troubleshooting-application-failures/SKILL.md

Troubleshoots failing applications by discovering and analyzing CloudWatch log groups to identify error patterns, root causes, and actionable solutions. Use when an application is experiencing failures and log-based diagnosis is needed.

MCP servers6

appsignalsstdio
command
uvx
args
awslabs.cloudwatch-applicationsignals-mcp-server@latest
env.FASTMCP_LOG_LEVEL
ERROR
aws-mcpstdio
command
uvx
args
mcp-proxy-for-aws-cli==1.7.0 https://aws-mcp.us-east-1.api.aws/mcp --skip-auth --read-only --metadata INSTALL_SOURCE=agent-toolkit-core
awssupportstdio
command
uvx
args
awslabs.aws-support-mcp-server@latest
env.FASTMCP_LOG_LEVEL
ERROR
cloudtrailstdio
command
uvx
args
awslabs.cloudtrail-mcp-server@latest
env.FASTMCP_LOG_LEVEL
ERROR
cloudwatchstdio
command
uvx
args
awslabs.cloudwatch-mcp-server@latest
env.FASTMCP_LOG_LEVEL
ERROR
prometheusstdio
command
uvx
args
awslabs.prometheus-mcp-server@latest
env.FASTMCP_LOG_LEVEL
ERROR

Plugin manifests3

plugins/agent-plugins/aws-sre-agent/.codex-plugin/plugin.json
{
  "name": "aws-sre-agent",
  "version": "0.1.0",
  "description": "Site-reliability agent for AWS workloads: CloudWatch metrics, logs, alarms and Logs Insights, Application Signals SLOs, X-Ray/ADOT traces, CloudTrail change history, Amazon Managed Prometheus, and AWS Support case escalation.",
  "author": {
    "name": "TalkOps AI"
  },
  "homepage": "https://github.com/talkops-ai/devops-plugins",
  "repository": "https://github.com/talkops-ai/devops-plugins",
  "license": "Apache-2.0",
  "keywords": [
    "aws",
    "sre",
    "observability",
    "cloudwatch",
    "x-ray",
    "cloudtrail",
    "prometheus",
    "incident-response",
    "slo"
  ],
  "skills": "./skills/",
  "mcpServers": "./mcp.json",
  "hooks": "./hooks/hooks.json",
  "interface": {
    "displayName": "AWS SRE Agent",
    "shortDescription": "Site-reliability agent for AWS workloads",
    "longDescription": "Site-reliability agent for AWS workloads: CloudWatch metrics, logs, alarms and Logs Insights, Application Signals SLOs, X-Ray/ADOT traces, CloudTrail change history, Amazon Managed Prometheus, and AWS Support case escalation.",
    "developerName": "TalkOps AI",
    "category": "Cloud",
    "capabilities": [
      "Read"
    ],
    "websiteURL": "https://github.com/talkops-ai/devops-plugins/tree/main/plugins/agent-plugins/aws-sre-agent",
    "brandColor": "#FF9900"
  }
}
plugins/agent-plugins/aws-sre-agent/.claude-plugin/plugin.json
{
  "name": "aws-sre-agent",
  "version": "0.1.0",
  "description": "Site-reliability agent for AWS workloads: CloudWatch metrics, logs, alarms and Logs Insights, Application Signals SLOs, X-Ray/ADOT traces, CloudTrail change history, Amazon Managed Prometheus, and AWS Support case escalation.",
  "author": {
    "name": "TalkOps AI"
  },
  "homepage": "https://github.com/talkops-ai/devops-plugins",
  "repository": "https://github.com/talkops-ai/devops-plugins",
  "license": "Apache-2.0",
  "keywords": [
    "aws",
    "sre",
    "observability",
    "cloudwatch",
    "x-ray",
    "cloudtrail",
    "prometheus",
    "incident-response",
    "slo"
  ]
}
plugins/agent-plugins/aws-sre-agent/plugin.json
{
  "$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
  "name": "aws-sre-agent",
  "version": "0.1.0",
  "description": "Site-reliability agent for AWS workloads: CloudWatch metrics, logs, alarms and Logs Insights, Application Signals SLOs, X-Ray/ADOT traces, CloudTrail change history, Amazon Managed Prometheus, and AWS Support case escalation.",
  "author": {
    "name": "TalkOps AI"
  },
  "homepage": "https://github.com/talkops-ai/devops-plugins",
  "repository": "https://github.com/talkops-ai/devops-plugins",
  "license": "Apache-2.0",
  "keywords": [
    "aws",
    "sre",
    "observability",
    "cloudwatch",
    "x-ray",
    "cloudtrail",
    "prometheus",
    "incident-response",
    "slo"
  ]
}

If you maintain this plugin, link to this source-backed listing from your README so users can review its manifest and indexed components.

[aws-sre-agent on Agent Plugins Marketplace](https://pluginsmp.com/plugins/aws-sre-agent)