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 joao-aires/agent-skills-public --skill kubernetes-resource-engineeringgit clone --depth 1 https://github.com/joao-aires/agent-skills-publicWrote 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/joao-aires/agent-skills-public/kubernetes-resource-engineering)<a href="https://agentmods.dev/skills/joao-aires/agent-skills-public/kubernetes-resource-engineering"><img src="https://agentmods.dev/badge/skills/joao-aires/agent-skills-public/kubernetes-resource-engineering/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/joao-aires/agent-skills-public/kubernetes-resource-engineering"><img src="https://agentmods.dev/badge/skills/joao-aires/agent-skills-public/kubernetes-resource-engineering.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 | $0.00039 | $0.00723 |
| Opus 5.5 | $0.00016 | $0.00289 |
| Sonnet 5.5 | $0.00008 | $0.00145 |
| Haiku 4.5 | $0.00004 | $0.00072 |
Grade A, and why
kubernetes-resource-engineering 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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kubernetes resource engineering
Design the resources as a connected application in the actual target. Follow selectors, references, ports, identities, configuration and storage from the workload to the objects it depends on. Establish which controller owns desired state and which values each environment overrides; the effective rendered resources are the ones whose behavior needs review.
Assess the lifecycle as well as the shape of each object. Decide how the application starts, becomes ready, accepts traffic, drains and recovers, then check whether probes, rollout settings, resources and dependent jobs support that behavior. A copied base manifest or successful schema check cannot establish those relationships by itself.
Modes and context
- Interactive/setup: discover cluster/version/controller capabilities, workload requirements and local policy; explain tradeoffs and implement resources in the chosen structure.
- Feature/maintenance: update workload/config/network/state dependencies and every impacted rendered target while preserving unrelated environments.
- Recurring review: render supplied target variants, audit secure-default and semantic drift, prepare bounded patches/tests, and retain exceptions/unknowns as stable findings. Apply/prune/cloud mutations only under assigned target authority.
Establish Deployments/jobs/stateful/infrastructure roles, target namespace, image identity, ports, identities/secrets, storage, dependency flows, availability/resource budget, reconciliation owner and expected deletion behavior. Verify supported API/CRD versions and actual CNI/admission/runtime features. Consult the resource guide for deeper implementation details.
Workflow
Define the resource contract
| Concern | Define in the selected manifests/chart structure |
|---|---|
| Organization | Coherent common bases/templates, explicit target overrides, stable labels/selectors and typed/documented inputs. Distinguish required decisions from safe defaults. |
| Workload security | Compatible least-privilege identity, pod/container security, immutable images, protected configuration/secrets and narrowly exposed ports. |
| Network | Explicit allowed and denied flows, including DNS, collectors, controllers and external dependencies. |
| Resource and lifecycle | CPU/memory/storage, startup/drain/recovery, probes, rollout, replica capacity, disruption budgets, topology and scaling ownership. |
| Jobs and retained resources | Deadlines/retries/concurrency/timezone, storage retention/reclaim, infrastructure deletion policy and recovery/access paths. |
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.
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.
- yesterday Changed · +10 lines da3c0efe720c
- 2d ago Changed ec4f5cc5c81a
- 7d ago First seen · 40 lines · 39 tokens per session scan A 66cf3cb95f2e
kubernetes-resource-engineering is a skill published in the GitHub repository joao-aires/agent-skills-public (2 stars, last pushed yesterday), licensed MIT. It adds 39 tokens to every session and 723 once invoked, about $0.0002 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 2026-10-15.
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