kubectl-ai

A set of instructions for using kubectl-ai, a tool that lets you manage Kubernetes clusters with natural-language requests. Kubernetes is a system for running and coordinating containerised applications.

In plain words
What is it for?
Use it to manage clusters, generate Kubernetes configuration, investigate failures, and assist with operations on environments such as Minikube.
Why use it?
It helps turn plain-language operational requests into Kubernetes work and supports troubleshooting without requiring every command to be remembered.

Skill for Claude CodeCodex

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 skills/mjunaidca/taskforce/kubectl-ai
Any agent
npx skills add mjunaidca/taskforce --skill kubectl-ai
Clone the repo
git clone --depth 1 https://github.com/mjunaidca/taskforce

Made for: Claude Code, Codex.

Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,672 The whole file, excluding the scripts and references it only reads on demand.
Security scan D 3 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 $0.00062 $0.01672
Opus 5 $0.00031 $0.00836
Sonnet 5 $0.00012 $0.00334
Haiku 4.5 $0.00006 $0.00167

Measured 2d ago against content hash 7b093cd7cb03, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade D, and why

kubectl-ai scanned grade D 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 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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

sudo mv kubectl-ai /usr/local/bin/

Reaches for credential fileshighPrivilege escalation

SSH keys, cloud credentials, git-credentials, .npmrc, /etc/shadow: reading these is how a config file becomes a credential leak.

kubectl-ai --kubeconfig ~/.kube/config --mcp-server

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -LO https://github.com/GoogleCloudPlatform/kubectl-ai/releases/latest/download/kubectl-ai_Darwin_arm64.tar.gz
.claude/skills/kubectl-ai/SKILL.md · 254 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

Files

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.

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 · 254 lines · 62 tokens per session scan D 7b093cd7cb03

Subscribe to this mod's changes

kubectl-ai is a skill published in the GitHub repository mjunaidca/taskforce (10 stars, last pushed 7mo ago), with no licence file. It adds 62 tokens to every session and 1,672 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it D with 3 findings (asks for root, reaches for credential files, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

openspec-explore

Enter explore mode - a thinking partner for exploring ideas, investigating problems, and clarifying requirements. Use when the user wants to think through something before or during a change.

AmanVarshney01/create-better-t-stack · 39 tokens

openspec-propose

Propose a new change with all artifacts generated in one step. Use when the user wants to quickly describe what they want to build and get a complete proposal with design, specs, and tasks ready for implementation.

AmanVarshney01/create-better-t-stack · 47 tokens

openspec-archive-change

Archive a completed change in the experimental workflow. Use when the user wants to finalize and archive a change after implementation is complete.

AmanVarshney01/create-better-t-stack · 31 tokens

openspec-sync-specs

Sync delta specs from a change to main specs. Use when the user wants to update main specs with changes from a delta spec, without archiving the change.

AmanVarshney01/create-better-t-stack · 38 tokens

add-to-project

Add addons or features (PWA, Tauri, Starlight/Fumadocs docs, Biome/Oxlint, Husky/Lefthook, Turborepo/Nx, the MCP addon, etc.) to an existing Better-T-Stack project. Use when the user wants to extend, enhance, or add tooling to a project that was created with Better-T-Stack.

AmanVarshney01/create-better-t-stack · 84 tokens

openspec-update-change

Update an OpenSpec change by revising its existing planning artifacts and keeping them coherent with one another. Use when the user wants to revise a change's plan, fold new decisions into it, or reconcile its artifacts after an edit. Never edits code.

AmanVarshney01/create-better-t-stack · 55 tokens