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 j4flmao/agent-skills --skill aws-serverlessgit clone --depth 1 https://github.com/j4flmao/agent-skillsWrote 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/j4flmao/agent-skills/aws-serverless)<a href="https://agentmods.dev/skills/j4flmao/agent-skills/aws-serverless"><img src="https://agentmods.dev/badge/skills/j4flmao/agent-skills/aws-serverless/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/j4flmao/agent-skills/aws-serverless"><img src="https://agentmods.dev/badge/skills/j4flmao/agent-skills/aws-serverless.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00133 | $0.01995 |
| Opus 5.5 | $0.00053 | $0.00798 |
| Sonnet 5.5 | $0.00027 | $0.00399 |
| Haiku 4.5 | $0.00013 | $0.00199 |
Grade A, and why
cloud-native-aws-serverless 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 9d 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 — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AWS Lambda Internals and Function Design
Purpose
Explain what actually happens when a Lambda function is invoked — Firecracker microVM isolation, the execution environment lifecycle, and the concurrency model — so that function code, timeouts, memory, and event-source settings are chosen from mechanics rather than folklore.
Agent Protocol
Trigger
"aws lambda internals", "firecracker", "lambda execution environment", "lambda concurrency", "event source mapping", "lambda function url", "lambda layers", "reserved concurrency", "lambda timeout".
Input Context
- Runtime and package type (ZIP managed runtime, container image, custom runtime).
- Invocation source (API Gateway, Function URL, SQS, Kinesis/DynamoDB Streams, EventBridge, S3).
- Traffic shape (steady, bursty), latency SLO, downstream limits (DB connections, third-party rate limits).
Output Artifact
Function configuration (IaC snippet) plus handler structure. No file unless requested.
Response Format
Invocation model: {sync|async|poll-based (ESM)}
Memory / timeout: {MB} / {s} (why)
Concurrency: {unreserved|reserved=N|provisioned=N}
Retries / failure destination: {...}
Handler notes: {init vs handler work}
Completion Criteria
- Invocation model identified and retry semantics stated.
- Timeout set below the caller's timeout (API Gateway integration timeout defaults to 29 s).
- Concurrency protects downstream dependencies.
- Failure path defined (DLQ, on-failure destination, or partial batch response).
How an Invocation Runs
- Firecracker microVM. Lambda runs each execution environment inside a Firecracker microVM on KVM. Firecracker exposes a minimal device model (virtio-net, virtio-block, serial console, keyboard for reset) and is documented to boot in about 125 ms with under 5 MiB memory overhead per microVM. Isolation boundary = the VM, not a container.
- Execution environment lifecycle (Lambda Runtime API phases):
INIT— download code/layers, start runtime, run extensions' init, run your module-level code. Limited to 10 s for on-demand functions; if it exceeds, init is retried inside the first invoke.INVOKE— handler runs; one environment processes one request at a time.SHUTDOWN— environment reclaimed after idle; the phase lasts 0 ms with no extensions, 500 ms with internal extensions, 2,000 ms with external extensions.
- Reuse. A warm environment is reused for later invocations; globals,
/tmp(512 MB default, configurable up to 10,240 MB), and open sockets survive. Never rely on reuse for correctness.
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.
- 9d ago Changed · +138 lines · +133 tokens per session da72f53d706d
- 2mo ago First seen · 19 lines · 0 tokens per session scan A aac089ef9365
cloud-native-aws-serverless is a skill published in the GitHub repository j4flmao/agent-skills (38 stars, last pushed 3d ago), licensed MIT. It adds 133 tokens to every session and 1,995 once invoked, about $0.0005 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 2026-09-03.
cloud-native-aws-serverless compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| cloud-native-aws-serverlessj4flmao/agent-skills | Skill | 38 | 3d ago | MIT | A | 133 | Claude Code, Codex |
| serverless-expertpersonamanagmentlayer/pcl | Skill | 44 | 11d ago | Apache-2.0 | A | 58 | Claude Code |
| cis-aws-compute-12.6CyberStrikeus/CyberStrike | Skill | 3.4k | 4d ago | AGPL-3.0 | A | 18 | Claude Code, Codex |
| cis-aws-compute-12.7CyberStrikeus/CyberStrike | Skill | 3.4k | 4d ago | AGPL-3.0 | A | 18 | Claude Code, Codex |
| cis-aws-compute-12.8CyberStrikeus/CyberStrike | Skill | 3.4k | 4d ago | AGPL-3.0 | A | 19 | Claude Code, Codex |
| cis-aws-compute-12.10CyberStrikeus/CyberStrike | Skill | 3.4k | 4d ago | AGPL-3.0 | A | 23 | Claude Code, Codex |
| cis-aws-compute-12.11CyberStrikeus/CyberStrike | Skill | 3.4k | 4d ago | AGPL-3.0 | A | 28 | Claude Code, Codex |