k8s-resource-limits

Rules for setting Kubernetes resource requests and limits. Kubernetes is a system that runs containers, and these settings reserve resources and cap how much a container can use.

In plain words
What is it for?
Use them when reviewing or creating Kubernetes manifests, or investigating pods that are slow or being killed.
Why use it?
They help prevent containers from using too much or too little CPU or memory, which can cause slowdowns, throttling, eviction, or out-of-memory kills.

Cursor rule for Cursor

Install

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.

agentmods
npx agentmods add rules/jaydeepkarale/awesome-agent-skills/cursorrules
Clone the repo
git clone --depth 1 https://github.com/jaydeepkarale/awesome-agent-skills

Made for: Cursor.

Per session 78 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,588 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00078 $0.01588
Opus 5 $0.00039 $0.00794
Sonnet 5 $0.00016 $0.00318
Haiku 4.5 $0.00008 $0.00159

Measured 2d ago against content hash 8d173027ee03, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

k8s-resource-limits 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 2d 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.

k8s-resource-limits/.cursorrules · 145 lines

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.

Read it on GitHub

Changes

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.

  1. 2d ago First seen · 145 lines · 78 tokens per session scan A 8d173027ee03

Subscribe to this mod's changes

k8s-resource-limits is a cursor rule published in the GitHub repository jaydeepkarale/awesome-agent-skills (7 stars, last pushed 4mo ago), with no licence file. It adds 78 tokens to every session and 1,588 once invoked, about $0.0004 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 2026-08-31.