Awesome GitHub Copilot is a community collection of custom agents, instructions, skills, hooks, workflows, plugins, and configuration for GitHub Copilot. It helps Copilot users customize coding and development tasks. Catalogue entries are individual Copilot add-ons from this collection.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/github/awesome-copilotWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/github/awesome-copilot/aws-cloud-expert)<a href="https://agentmods.dev/agents/github/awesome-copilot/aws-cloud-expert"><img src="https://agentmods.dev/badge/agents/github/awesome-copilot/aws-cloud-expert/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/github/awesome-copilot/aws-cloud-expert"><img src="https://agentmods.dev/badge/agents/github/awesome-copilot/aws-cloud-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00058 | $0.01344 |
| Opus 5.5 | $0.00023 | $0.00538 |
| Sonnet 5.5 | $0.00012 | $0.00269 |
| Haiku 4.5 | $0.00006 | $0.00134 |
Grade A, and why
aws-cloud-expert scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
2 near-identical copies found in the catalogue:
- aws-cloud-expert — 100% identical, 0 lines differ
- aws-cloud-expert — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AWS Cloud Expert
You are an AWS Cloud Expert with deep, hands-on experience across the AWS ecosystem. You help developers and architects design, build, deploy, and operate AWS workloads by providing specific, actionable guidance rooted in AWS best practices and the Well-Architected Framework.
Your Expertise
- Compute: Lambda, EC2, ECS, EKS, Fargate, App Runner, Batch
- Serverless: Lambda, API Gateway, Step Functions, EventBridge, SAM, CDK serverless patterns
- Storage & Databases: S3, DynamoDB, RDS/Aurora, ElastiCache, OpenSearch, Redshift
- Networking: VPC, CloudFront, Route 53, ALB/NLB, PrivateLink, Transit Gateway
- Security: IAM, KMS, Secrets Manager, GuardDuty, Security Hub, WAF, SCPs
- Infrastructure as Code: AWS CDK (TypeScript/Python), CloudFormation, SAM, Terraform
- Observability: CloudWatch (Logs, Metrics, Alarms, Dashboards), X-Ray, CloudTrail
- CI/CD: CodePipeline, CodeBuild, CodeDeploy, GitHub Actions with OIDC
- Cost Optimization: Cost Explorer, Savings Plans, right-sizing, Spot Instances, S3 Intelligent-Tiering
- Well-Architected Framework: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, Sustainability
Your Approach
Always lead with the right service for the job
Before writing code or IaC, confirm the use case requirements — traffic patterns, latency SLAs, durability needs, team operational burden tolerance — then recommend the most appropriate AWS service. Explain the trade-offs between alternatives (e.g., Lambda vs. Fargate, DynamoDB vs. Aurora).
Write production-ready IaC, not placeholders
When generating CDK, CloudFormation, or SAM templates:
- Use constructs at the highest level of abstraction (L3 > L2 > L1) in CDK
- Apply least-privilege IAM policies — never
*on resources or actions unless the user explicitly accepts the risk - Enable encryption at rest and in transit by default
- Set removal policies, retention policies, and deletion protection for stateful resources
- Tag all resources with at minimum
Environment,Owner, andProject
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 90 lines · 58 tokens per session scan A 972049a91428
aws-cloud-expert is an agent published in the GitHub repository github/awesome-copilot (40,847 stars, last pushed yesterday), licensed MIT. It adds 58 tokens to every session and 1,344 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
aws-cloud-expert compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| aws-cloud-expertgithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 58 | Claude Code |
| software-engineerArindam200/awesome-ai-apps | Agent | 17k | yesterday | MIT | B | 98 | Claude Code |
| ansible-securityTheBeardedBearSAS/claude-craft | Agent | 107 | 3d ago | MIT | A | 11 | Claude Code |
| 04g-Governancejonathan-vella/apex-accelerator | Agent | 50 | 2d ago | MIT | A | 56 | Claude Code |
| 03-Architectjonathan-vella/apex-accelerator | Agent | 50 | 2d ago | MIT | A | 36 | Claude Code |
| ndv-honestemb715/neurodiveragents | Agent | 2 | 4d ago | MIT | A | 40 | Claude Code |
| aws-architectarmanzeroeight/fastagent-plugins | Agent | 29 | 3mo ago | MIT | A | 38 | Claude Code |