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 implementing-kubernetes-network-policy-with-calicogit 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/implementing-kubernetes-network-policy-with-calico)<a href="https://agentmods.dev/skills/njones17/ai-agent-master-cyber-skills-list/implementing-kubernetes-network-policy-with-calico"><img src="https://agentmods.dev/badge/skills/njones17/ai-agent-master-cyber-skills-list/implementing-kubernetes-network-policy-with-calico/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/implementing-kubernetes-network-policy-with-calico"><img src="https://agentmods.dev/badge/skills/njones17/ai-agent-master-cyber-skills-list/implementing-kubernetes-network-policy-with-calico.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 | $0.00033 | $0.01793 |
| Opus 5 | $0.00016 | $0.00897 |
| Sonnet 5 | $0.00007 | $0.00359 |
| Haiku 4.5 | $0.00003 | $0.00179 |
Grade A, and why
implementing-kubernetes-network-policy-with-calico scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
kubectl exec -n production frontend-pod -- wget -qO- --timeout=2 http://backend-svc:8080/health 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 ships with it
4 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.
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 First seen · 308 lines · 33 tokens per session scan A 47471ab474ea
implementing-kubernetes-network-policy-with-calico 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 33 tokens to every session and 1,793 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
implementing-kubernetes-network-policy-with-calico
Implement Kubernetes network segmentation using Calico NetworkPolicy and GlobalNetworkPolicy for zero-trust pod-to-pod communication.
implementing-container-network-policies-with-calico
Enforce Kubernetes network segmentation using Calico CNI network policies and global network policies to control pod-to-pod traffic, restrict egress, and implement zero-trust microsegmentation.
k8s-network-policy
Review Kubernetes NetworkPolicies — what is actually permitted to reach a workload, and whether the answer can be trusted. Use when asked what can talk to a pod, whether a namespace is restricted, why traffic is being blocked, or for any security review of cluster network segmentation.
teleport-access
Zero-trust infrastructure access with Teleport.
vllm-sr
Install, configure, validate, operate, evaluate, and improve vLLM Semantic Router through its CLI and Router API. Use when an agent should manage vLLM SR without depending on the Dashboard.
vllm-sr-agent-operations
Operate a vLLM Semantic Router directly through its CLI and HTTP contracts. Use when an agent needs to install or deploy vLLM-SR, author or change canonical YAML configuration and Recipes, validate and plan changes, test routing with preview and real end-to-end requests, run the Intelligence 1.0 benchmark suite…