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 codebygarv/Ai-skills --skill helm-k8s-manifest-reviewergit clone --depth 1 https://github.com/codebygarv/Ai-skillsWrote 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/codebygarv/ai-skills/helm-k8s-manifest-reviewer)<a href="https://agentmods.dev/skills/codebygarv/ai-skills/helm-k8s-manifest-reviewer"><img src="https://agentmods.dev/badge/skills/codebygarv/ai-skills/helm-k8s-manifest-reviewer/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/codebygarv/ai-skills/helm-k8s-manifest-reviewer"><img src="https://agentmods.dev/badge/skills/codebygarv/ai-skills/helm-k8s-manifest-reviewer.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 | $0.00026 | $0.00390 |
| Opus 5 | $0.00013 | $0.00195 |
| Sonnet 5 | $0.00005 | $0.00078 |
| Haiku 4.5 | $0.00003 | $0.00039 |
Grade A, and why
helm-k8s-manifest-reviewer 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 8d 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.
What it actually says
Purpose
Audit Kubernetes manifests (Deployments, Services, Ingress, HPAs) and Helm charts for production readiness, proper resource requests/limits, liveness/readiness probes, pod disruption budgets (PDB), and security context hardening.
When to Use
- Preparing a new service for deployment onto a Kubernetes cluster.
- Auditing Helm chart templates before release.
- Diagnosing CrashLoopBackOff, sudden pod evictions, or traffic drops during rolling deployments.
What to Analyze
- Resource Specifications: Explicit
requests(for scheduling) andlimits(to prevent node exhaustion) for CPU/memory. - Health Probes: Distinct
livenessProbe(restarts hung container),readinessProbe(controls traffic routing), andstartupProbe(slow boots). - Pod Disruption & Graceful Termination:
terminationGracePeriodSeconds,preStoplifecycle sleep hook, andPodDisruptionBudget. - Security Context Hardening:
readOnlyRootFilesystem: true,allowPrivilegeEscalation: false,runAsNonRoot: true, dropping all capabilities (drop: [ALL]). - Autoscaling (HPA): HorizontalPodAutoscaler targets configured with appropriate min/max replicas.
Output Format
- Production Readiness Score: Checklist of Passed / Failed best practices.
- Hardened Kubernetes Manifest YAML: Complete corrected manifest.
- Helm Values / Template Fixes: Specific templating corrections.
Avoid
- Leaving CPU/Memory limits undefined (leads to noisy neighbor node crashes).
- Pointing liveness probes to the same endpoint as readiness probes with zero delay.
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.
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.
- 8d ago First seen · 34 lines · 26 tokens per session scan A 99fd8dfef048
helm-k8s-manifest-reviewer is a skill published in the GitHub repository codebygarv/Ai-skills (25 stars, last pushed 22d ago), licensed MIT. It adds 26 tokens to every session and 390 once invoked, about $0.0001 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 2026-09-03.
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