orka: Skill for Codex

.agents/skills/orka-kind-deploy/SKILL.md

orka-kind-deploy is a skill for Codex from orka-agents/orka. It costs 79 tokens per session (737 once invoked), scanned A, original, MIT.

A repeatable deployment process for rebuilding the Orka controller and worker images in a local kind cluster. kind is a Kubernetes cluster that runs locally in containers.

In plain words
What is it for?
Use it to refresh a local Orka environment, install its custom resources and controller, wait for the controller to start, and summarize the resulting pods, services, and deployments.
Why use it?
It avoids manually repeating build, image-loading, installation, and readiness steps after Orka code changes.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: installed under .agents/ (shared by several agents); mentions Codex.

This is orka-agents/orka's own configuration. It tells Codex how to work on orka itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything orka configures →

Reuse

Borrowing it

Nothing to install: this file belongs to orka-agents/orka. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/orka-agents/orka/main/.agents/skills/orka-kind-deploy/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/orka-agents/orka

Made for: Codex.

Wrote 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.

agentmods badge for orka-kind-deploy

README.md
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Your own site
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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.

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Your own site · 80×15
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Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 737 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original 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 5.1 $0.00079 $0.00737
Opus 5.5 $0.00032 $0.00295
Sonnet 5.5 $0.00016 $0.00147
Haiku 4.5 $0.00008 $0.00074

Measured 1mo ago against content hash 9108f875e506, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

orka-kind-deploy 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 1mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/deploy_orka_kind.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.agents/skills/orka-kind-deploy/SKILL.md · 33 lines

How it starts

The opening of the file, as written. The whole thing — 33 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Orka Kind Deploy

Use the bundled script for the standard local deploy path instead of retyping the Makefile sequence.

Workflow

  1. Ensure the working directory is an Orka repository checkout with Makefile, config/manager/kustomization.yaml, and the workers/ tree.
  2. Pass --cluster or --context explicitly; when --context is omitted, the script uses kind-<cluster>. It never relies on current-context. For kindctl-managed clusters, run through kindctl exec or set KUBECONFIG to the path returned by kindctl path.
  3. Run the script (paths below are relative to this skill directory):
    • Named cluster: scripts/deploy_orka_kind.sh --cluster codex
    • Explicit repo or cluster: scripts/deploy_orka_kind.sh --repo /path/to/repo --cluster codex
  4. Let the script:
    • validate the existing admission TLS Secret type, keypair, and certificate chain before starting the registry or building images
    • build controller:kind plus all worker images
    • load them into the target kind cluster with make test-e2e-setup-only
    • use scripts/lib/kind-local-registry.sh from the repository to start the cluster-local registry and push the controller, publisher, AI/general workers, and four ACP runtimes, resolving their immutable digests just like CI
    • install CRDs, bootstrap seven-day test-only admission TLS if absent, ensure the vekil-system namespace exists for the bundled ingress policy (without installing Vekil), and run make deploy with all six gated image variables digest-pinned (plus the AI/general worker references)
    • wait for the controller, publisher, provider-auth proxy, SCM egress proxy, and admission Deployments in orka-system; current main does not deploy the legacy harness wrapper
    • restore config/manager/kustomization.yaml after the deploy so the worktree stays clean
  5. Summarize the resulting pods, services, and deployments in orka-system.

Guardrails

  • Use this skill for local kind-based Orka deployments. For remote or shared clusters, inspect the intended registry and tag flow before deploying.
  • If the explicit context does not target the named kind cluster, stop and explain the mismatch instead of guessing.
  • Expired or invalid admission TLS stops the script before image builds. Use a fresh kindctl cluster for a disposable environment. For retained clusters, coordinate renewal under config/orka-admission-webhooks/README.md in the repository. Automatic renewal is outside this skill's scope because deleting the shared webhooks requires first disabling admission trust on every affected controller and completing their rollouts.
  • If rollout fails, inspect kubectl --context <context> -n orka-system describe deployment/orka-controller-manager, kubectl --context <context> -n orka-system get pods, and kubectl --context <context> -n orka-system logs deployment/orka-controller-manager, using the same scoped KUBECONFIG.

Read the full file on GitHub · 33 lines

Files

What ships with it

2 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.

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. 1mo ago Changed · +3 lines · +16 tokens per session 9108f875e506
  2. 1mo ago First seen · 30 lines · 63 tokens per session scan A 5ebd9695a9c8

Subscribe to this mod's changes

orka-kind-deploy is a skill published in the GitHub repository orka-agents/orka (36 stars, last pushed yesterday), licensed MIT. It adds 79 tokens to every session and 737 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-30.