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 pantheon-org/tekhne --skill yaml-generatorgit clone --depth 1 https://github.com/pantheon-org/tekhneWrote 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/pantheon-org/tekhne/yaml-generator)<a href="https://agentmods.dev/skills/pantheon-org/tekhne/yaml-generator"><img src="https://agentmods.dev/badge/skills/pantheon-org/tekhne/yaml-generator/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/pantheon-org/tekhne/yaml-generator"><img src="https://agentmods.dev/badge/skills/pantheon-org/tekhne/yaml-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 244 Skill allows unbounded resource consumption (API calls, storage, compute). Without rate limits or quotas, a compromised or misbehaving agent can cause denial-of-service or cost overruns.Fix: Set explicit rate limits, timeouts, and resource quotas for API calls, file operations, and compute. Implement circuit breakers for runaway loops.
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 | $0.00058 | $0.03553 |
| Opus 5.5 | $0.00023 | $0.01421 |
| Sonnet 5.5 | $0.00012 | $0.00711 |
| Haiku 4.5 | $0.00006 | $0.00355 |
Grade A, and why
k8s-yaml-generator 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 23d 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.
How it starts
The opening of the file, as written. The whole thing — 444 lines — stays where its author put it; the contents beside it link to each section on GitHub.
K8s YAML Generator
Mindset
Mental Model: Kubernetes YAML generation is about translating application requirements into declarative infrastructure. Think in terms of desired state, not imperative commands. A manifest that merely "applies without error" is not the bar — it must also survive a node restart, a rolling update, and a resource crunch without silently degrading, so generation and validation are never separable steps. The recurring pitfall is generating a manifest that validates cleanly today but hits a gotcha under load six months later, because a default (an inferred imagePullPolicy, an unset resource limit) was never made explicit.
Decision Framework:
- Start with the workload (Pod, Deployment, StatefulSet)—this defines what runs
- Add access layer (Service, Ingress)—this defines how it's accessed
- Configure runtime (ConfigMap, Secret)—this defines how it behaves
- Set constraints (ResourceQuota, LimitRange, NetworkPolicy)—this defines boundaries
When to use this skill:
- Creating new Kubernetes resources from scratch
- Converting Docker Compose or other formats to K8s manifests
- Generating CRD instances (ArgoCD, Istio, Cert-Manager, etc.)
- Building templates for Helm charts or Kustomize bases
- Scaffolding multi-resource applications
When NOT to use this skill:
- The task is validating an already-written manifest rather than producing a new one — use
k8s-yaml-validatordirectly instead. - The target is a Helm chart's templating logic itself (
{{ }}expressions,_helpers.tpl) rather than the rendered resource — that is chart authoring, not resource generation. - A near-identical resource already exists in the repository — copy and adapt it so labels, annotations, and conventions stay consistent, rather than generating a fresh one that drifts from house style.
Generation philosophy: Generate correct, complete, validated YAML on first pass. Never output YAML that hasn't been validated — this is a mandatory, non-negotiable gate, not a suggestion.
What ships with it
31 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.
- .audits/2026-03-06/analysis.md 1.1 KB
- .audits/2026-03-06/audit.json 457 B
- .audits/2026-03-06/remediation-plan.md 2.1 KB
- .audits/2026-09-23/Analysis.md 582 B
- .audits/2026-09-23/audit.json 728 B
- .audits/2026-09-23/Remediation.md 1.3 KB
- .audits/2026-10-02/Analysis.md 489 B
- .audits/2026-10-02/audit.json 552 B
- .audits/2026-10-02/Remediation.md 1.2 KB
- .audits/latest 10 B
- evals/instructions.json 3.4 KB
- evals/scenario-1/capability.txt 90 B
- evals/scenario-1/criteria.json 2.4 KB
- evals/scenario-1/task.md 492 B
- evals/scenario-2/capability.txt 101 B
- evals/scenario-2/criteria.json 2.0 KB
- evals/scenario-2/task.md 536 B
- evals/scenario-3/capability.txt 100 B
- evals/scenario-3/criteria.json 2.1 KB
- evals/scenario-3/task.md 366 B
- evals/scenario-4/capability.txt 82 B
- evals/scenario-4/criteria.json 2.0 KB
- evals/scenario-4/task.md 469 B
- evals/scenario-5/capability.txt 93 B
- evals/scenario-5/criteria.json 1.8 KB
- evals/scenario-5/task.md 404 B
- evals/scenario-6/capability.txt 96 B
- evals/scenario-6/criteria.json 2.0 KB
- evals/scenario-6/task.md 537 B
- evals/summary.json 624 B
- references/production-readiness.md 3.8 KB
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.
- 23d ago Changed · +2 lines 2b9e25015e95
- 1mo ago Changed · +3 lines · -2 tokens per session 42db8f74a579
- 1mo ago First seen · 439 lines · 60 tokens per session scan A dda89d781455
k8s-yaml-generator is a skill published in the GitHub repository pantheon-org/tekhne (10 stars, last pushed 4d ago), licensed MIT. It adds 58 tokens to every session and 3,553 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 2026-09-03.
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