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 smk-labs/claude-plugins --skill k8s-rightsizegit clone --depth 1 https://github.com/smk-labs/claude-pluginsWrote 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/smk-labs/claude-plugins/k8s-rightsize)<a href="https://agentmods.dev/skills/smk-labs/claude-plugins/k8s-rightsize"><img src="https://agentmods.dev/badge/skills/smk-labs/claude-plugins/k8s-rightsize/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/smk-labs/claude-plugins/k8s-rightsize"><img src="https://agentmods.dev/badge/skills/smk-labs/claude-plugins/k8s-rightsize.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00062 | $0.02088 |
| Opus 5.5 | $0.00025 | $0.00835 |
| Sonnet 5.5 | $0.00012 | $0.00418 |
| Haiku 4.5 | $0.00006 | $0.00209 |
Grade A, and why
k8s-rightsize 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 1mo 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.
(ask the user to start it; test with `curl -s localhost:9090/api/v1/query?query=up`). How it starts
The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
k8s-rightsize: data-driven pod request sizing from Prometheus
Right-size CPU/memory requests for workloads in a namespace using real 7-day usage from Prometheus, then compute how many nodes the cluster needs. Built for queue-worker fleets (Celery and similar) plus web/API pods, but works for any namespace.
Best-practice model (researched: Datadog, Kubernetes docs)
- Requests drive scheduling (bin-packing); limits enforce a runtime ceiling. (K8s docs)
- CPU is compressible. A CPU limit throttles via CFS even when the node has spare CPU, spiking p95/p99 latency. For async/background workers (Celery and similar), do NOT set CPU limits: let them burst. Set the CPU request to observed steady-state (median to p95).
- Memory is incompressible. It can only be OOM-killed, not throttled. Set memory request to p95-p98. Optionally add a memory limit of about p98 x 1.25 to stop a leak from taking down a node. (Some teams deliberately run fully burstable with no memory limits; respect the owner's choice, but name the trade-off.)
- Spread replicas across nodes (
topologySpreadConstraints,maxSkew: 1,topologyKey: kubernetes.io/hostname,whenUnsatisfiable: ScheduleAnyway) so bursts scatter instead of stacking. This is what makes "no CPU limit" safe. - Celery: use
--max-tasks-per-childto bound memory-leak creep.
Percentile guidance (no CPU limit case)
The request only controls packing density, not the ceiling. Higher percentile = looser packing = more on-node burst headroom = less throttling, but more idle reservation.
- CPU = p95 is the sweet spot for steady workers. Use p98 only with a real latency SLO; the p95-to-p98 premium is tiny for steadily-loaded workers and pure waste for bursty ones.
- Beware bursty workers (low p95, huge max, e.g. idle at 173m but spiking to 3292m). p85 vs p95 barely moves them; the spike is 10-20x either number. Don't size them at burst (waste); rely on topology-spread + no-limit bursting. But do NOT size steadily-heavy workers (running near p85 continuously) at p85: that under-reserves and packs them too tight.
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.
- 1mo ago Changed · +3 lines · -57 tokens per session ce20a2dc3865
- 1mo ago First seen · 72 lines · 119 tokens per session scan A 1365471d44e8
k8s-rightsize is a skill published in the GitHub repository smk-labs/claude-plugins (11 stars, last pushed 28d ago), licensed MIT. It adds 62 tokens to every session and 2,088 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.
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