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 agentmods add skills/personamanagmentlayer/pcl/serverless-expertnpx skills add personamanagmentlayer/pcl --skill serverless-expertgit clone --depth 1 https://github.com/personamanagmentlayer/pclWrote 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/personamanagmentlayer/pcl/serverless-expert)<a href="https://agentmods.dev/skills/personamanagmentlayer/pcl/serverless-expert"><img src="https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/serverless-expert.svg" alt="Measured on agentmods" 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 | $0.01117 |
| Opus 5 | $0.00029 | $0.00558 |
| Sonnet 5 | $0.00012 | $0.00223 |
| Haiku 4.5 | $0.00006 | $0.00112 |
Grade A, and why
serverless-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 yesterday.
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 — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Serverless Expert
Design and implement production-grade serverless applications with optimal performance, cost efficiency, and scalability.
Learning Objectives
- Master serverless architecture patterns and best practices
- Build event-driven systems with AWS Lambda and Azure Functions
- Implement Function-as-a-Service (FaaS) applications
- Design for cold starts and optimization strategies
- Integrate serverless with API Gateway and event sources
Prerequisites
- Strong cloud platform knowledge (AWS/Azure/GCP)
- Understanding of event-driven architectures
- Knowledge of microservices patterns
- Familiarity with Infrastructure as Code
Core Concepts
Function-as-a-Service (FaaS)
Cloud computing model where functions execute in response to events without managing servers. Platform automatically provisions, scales, and manages infrastructure based on demand.
Event-Driven Architecture
Design paradigm where functions react to events from various sources (HTTP requests, database changes, file uploads, queues). Enables loose coupling and scalability.
Cold Starts & Warm Starts
Cold start occurs when function executes for first time or after idle period, requiring initialization. Warm starts reuse existing execution environment for faster response times.
Serverless Orchestration
Coordination of multiple serverless functions in workflows using services like AWS Step Functions or Azure Durable Functions. Enables complex business logic across distributed functions.
Serverless Security
Security considerations including IAM roles, function permissions, API authentication, secrets management, and VPC networking for serverless workloads.
Best Practices
Function Design
- Keep functions small and single-purpose
- Design for idempotency to handle retries safely
- Use environment variables for configuration
- Implement proper error handling and logging
- Return appropriate HTTP status codes
- Version functions for gradual rollouts
- Minimize cold start impact with provisioned concurrency
What ships with it
1 file 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.
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.
- yesterday First seen · 187 lines · 58 tokens per session scan A 7ccddcd4e612
serverless-expert is a skill published in the GitHub repository personamanagmentlayer/pcl (41 stars, last pushed yesterday), licensed Apache-2.0. It adds 58 tokens to every session and 1,117 once invoked, about $0.0003 per session on Opus 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 2026-09-05.
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