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 Njones17/AI-agent-master-cyber-skills-list --skill performing-serverless-function-security-reviewgit clone --depth 1 https://github.com/Njones17/AI-agent-master-cyber-skills-listWrote 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/njones17/ai-agent-master-cyber-skills-list/performing-serverless-function-security-review)<a href="https://agentmods.dev/skills/njones17/ai-agent-master-cyber-skills-list/performing-serverless-function-security-review"><img src="https://agentmods.dev/badge/skills/njones17/ai-agent-master-cyber-skills-list/performing-serverless-function-security-review/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/njones17/ai-agent-master-cyber-skills-list/performing-serverless-function-security-review"><img src="https://agentmods.dev/badge/skills/njones17/ai-agent-master-cyber-skills-list/performing-serverless-function-security-review.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 | $0.00048 | $0.02853 |
| Opus 5 | $0.00024 | $0.01426 |
| Sonnet 5 | $0.00010 | $0.00571 |
| Haiku 4.5 | $0.00005 | $0.00285 |
Grade B, and why
performing-serverless-function-security-review scanned grade B with 3 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 12d 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.
Harvests environment variablesmediumData exfiltration
Enumerating or grepping the environment for keys collects credentials unrelated to what the mod says it does.
# AWS Lambda: Extract environment variables Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
--query 'Code.Location' --output text | xargs curl -o function.zip Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
# 2. Command injection via os.system or subprocess The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 12d ago First seen · 288 lines · 48 tokens per session scan B 7f9ad03e6295
performing-serverless-function-security-review is a skill published in the GitHub repository Njones17/AI-agent-master-cyber-skills-list (21 stars, last pushed 6mo ago), with no licence file. It adds 48 tokens to every session and 2,853 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 3 findings (harvests environment variables, makes network calls, runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
performing-serverless-function-security-review
Performing security reviews of serverless functions across AWS Lambda, Azure Functions, and GCP Cloud Functions to identify overly permissive execution roles, insecure environment variables, injection vulnerabilities, and missing runtime protections.
serverless-expert
Design and implement production-grade serverless applications with optimal performance, cost efficiency, and scalability. Use when the user mentions serverless or FaaS, AWS Lambda, Azure Functions, Cloud Functions, cold starts, event-driven architecture, or API Gateway-fronted workloads.
securing-aws-lambda-execution-roles
Securing AWS Lambda execution roles by implementing least-privilege IAM policies, applying permission boundaries, restricting resource-based policies, using IAM Access Analyzer to validate permissions, and enforcing role scoping through SCPs.
cis-aws-compute-12.8
Ensure that Code Signing is enabled for Lambda functions.
cis-aws-compute-12.12
Ensure encryption in transit is enabled for Lambda environment variables.
cis-aws-compute-12.6
Ensure Lambda functions are not exposed to everyone.