awslabs/agent-plugins is a collection of plugins, skills, instructions, an MCP server, a hook, and a setting that guide AI coding agents in architecting, deploying, and operating software on Amazon Web Services. It is for developers using coding agents such as Claude Code, Codex, and Cursor with AWS projects. The catalogue entries are the repository's own agent workflows and supporting components.
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.
npx skills add awslabs/agent-plugins --skill aws-lambdagit clone --depth 1 https://github.com/awslabs/agent-pluginsWrote 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/skills/awslabs/agent-plugins/aws-lambda)<a href="https://agentmods.dev/skills/awslabs/agent-plugins/aws-lambda"><img src="https://agentmods.dev/badge/skills/awslabs/agent-plugins/aws-lambda/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/skills/awslabs/agent-plugins/aws-lambda"><img src="https://agentmods.dev/badge/skills/awslabs/agent-plugins/aws-lambda.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 4 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Prompt Injection · line 97 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 99 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 100 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 102 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
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 | $0.00074 | $0.02462 |
| Opus 5.5 | $0.00030 | $0.00985 |
| Sonnet 5.5 | $0.00015 | $0.00492 |
| Haiku 4.5 | $0.00007 | $0.00246 |
Grade A, and why
aws-lambda 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AWS Lambda Serverless Development
Design, build, deploy, and debug serverless applications with AWS serverless services. This skill provides access to serverless development guidance through the AWS Serverless MCP Server, helping you to build production-ready serverless applications with best practices built-in.
Use SAM CLI for project initialization and deployment, Lambda Web Adapter for web applications, or Event Source Mappings for event-driven architectures. AWS handles infrastructure provisioning, scaling, and monitoring automatically.
Key capabilities:
- SAM CLI Integration: Initialize, build, deploy, and test serverless applications
- Web Application Deployment: Deploy full-stack applications with Lambda Web Adapter
- Event Source Mappings: Configure Lambda triggers for DynamoDB, Kinesis, SQS, Kafka
- Lambda durable functions: Resilient multi-step applications with checkpointing — see the durable-functions skill for guidance
- Lambda Managed Instances: Run Lambda on dedicated EC2 instances with managed lifecycle — see the managed-instances skill for evaluation, configuration, and migration guidance
- Schema Management: Type-safe EventBridge integration with schema registry
- Observability: CloudWatch logs, metrics, and X-Ray tracing
- Performance Optimization: Right-sizing, cost optimization, and troubleshooting
When to Load Reference Files
Load the appropriate reference file based on what the user is working on:
- Getting started, what to build, project type decision, or working with existing projects -> see references/getting-started.md
- SAM, CDK, deployment, IaC templates, CDK constructs, or CI/CD pipelines -> see the aws-serverless-deployment skill (separate skill in this plugin)
- Web app deployment, Lambda Web Adapter, API endpoints, CORS, authentication, custom domains, or sam local start-api -> see references/web-app-deployment.md
- Event sources, DynamoDB Streams, Kinesis, SQS, Kafka, S3 notifications, or SNS -> see references/event-sources.md
- EventBridge, event bus, event patterns, event design, Pipes, or schema registry -> see references/event-driven-architecture.md
- Durable functions, checkpointing, replay model, saga pattern, or long-running Lambda workflows -> see the durable-functions skill (separate skill in this plugin with full SDK reference, testing, and deployment guides)
- Lambda Managed Instances, LMI, capacity providers, multi-concurrency, EC2-backed Lambda, cold start elimination, or Lambda cost optimization with Reserved Instances -> see the managed-instances skill (separate skill in this plugin for evaluation, configuration, and migration)
- Orchestration, workflows, or Durable Functions vs Step Functions -> see references/orchestration-and-workflows.md
- Step Functions, ASL, state machines, JSONata, Distributed Map, SDK integrations, TestState API, mocking service integrations, or state machine unit tests -> see the aws-step-functions skill for comprehensive guidance
- Observability, logging, tracing, metrics, alarms, or dashboards -> see references/observability.md
- Optimization, cold starts, memory tuning, cost, or streaming -> see references/optimization.md
- Powertools, idempotency, feature flags, parameters, parser, batch processing, or data masking -> see references/powertools.md
- Troubleshooting, errors, debugging, or deployment failures -> see references/troubleshooting.md
What ships with it
9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/event-driven-architecture.md 16 KB
- references/event-sources.md 16 KB
- references/getting-started.md 6.0 KB
- references/observability.md 23 KB
- references/optimization.md 15 KB
- references/orchestration-and-workflows.md 6.2 KB
- references/powertools.md 10 KB
- references/troubleshooting.md 11 KB
- references/web-app-deployment.md 11 KB
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.
- 1mo ago First seen · 173 lines · 74 tokens per session scan A 26257c68ac93
aws-lambda is a skill published in the GitHub repository awslabs/agent-plugins (921 stars, last pushed yesterday), licensed Apache-2.0. It adds 74 tokens to every session and 2,462 once invoked, about $0.0003 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.
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