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 confighub/confighub-skills --skill skill-examples-bootstrapgit clone --depth 1 https://github.com/confighub/confighub-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/confighub/confighub-skills/skill-examples-bootstrap)<a href="https://agentmods.dev/skills/confighub/confighub-skills/skill-examples-bootstrap"><img src="https://agentmods.dev/badge/skills/confighub/confighub-skills/skill-examples-bootstrap/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/confighub/confighub-skills/skill-examples-bootstrap"><img src="https://agentmods.dev/badge/skills/confighub/confighub-skills/skill-examples-bootstrap.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 | $0.00067 | $0.02526 |
| Opus 5 | $0.00034 | $0.01263 |
| Sonnet 5 | $0.00013 | $0.00505 |
| Haiku 4.5 | $0.00007 | $0.00253 |
Grade A, and why
skill-examples-bootstrap 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 today.
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 — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.
skill-examples-bootstrap
Execution mode: follow references/execution-modes.md. This Skill grants no automatic tool permission. Standalone use inspects first, then submits one missing or changed playground object at a time to the host permission system; an external overlay may stop it before Bash.
For an existing example Unit, re-read its head and hash before the write and do not claim atomic reviewed-state binding when the stock convenience command does not accept those values as preconditions.
Prepares and explains an idempotent ConfigHub playground so users can exercise the other skills against a well-formed example after the host permits each requested creation step.
When to use
- User asks for a playground / example / sandbox to try ConfigHub against.
- User is new and needs something concrete to tinker with.
skill-examplesSpace is missing or has been damaged and the user wants it back.- User says "reset" or "refresh" the examples.
Do not load for
- Creating real app Spaces (use
confighub-coreto prepare the governed Space proposal). - Setting up Triggers / policy (use
triggers-and-applygates). - Importing existing Helm or Kustomize configs (use
import).
What gets created
Space: skill-examples
Units in that Space:
hello-ns—v1/Namespacenamedhello, with pod-security labels applied viaset-pod-security-defaults.hello-app—apps/v1/Deployment+v1/Servicebundle for a placeholder app listening on port 8080.hello-statefulset—apps/v1/StatefulSet+ headlessv1/Servicefor a PostgreSQL-like stateful workload withvolumeClaimTemplates.hello-daemonset—apps/v1/DaemonSetfor a node-exporter-style monitoring agent.hello-job—batch/v1/Jobfor a one-shot database migration.hello-cronjob—batch/v1/CronJobfor a scheduled nightly backup.hello-ingress—networking.k8s.io/v1/Ingresswith TLS termination.hello-netpol—networking.k8s.io/v1/NetworkPolicypair: default-deny + explicit allow.hello-rbac—v1/ServiceAccount+rbac.authorization.k8s.io/v1/Role+RoleBindingbundle.hello-hpa—autoscaling/v2/HorizontalPodAutoscalertargetinghello-app.hello-pdb—policy/v1/PodDisruptionBudgetprotectinghello-app.
What ships with it
12 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.
- evals/evals.json 2.0 KB
- examples/hello-app.yaml 652 B
- examples/hello-cronjob.yaml 656 B
- examples/hello-daemonset.yaml 838 B
- examples/hello-hpa.yaml 677 B
- examples/hello-ingress.yaml 531 B
- examples/hello-job.yaml 479 B
- examples/hello-netpol.yaml 793 B
- examples/hello-ns.yaml 55 B
- examples/hello-pdb.yaml 186 B
- examples/hello-rbac.yaml 639 B
- examples/hello-statefulset.yaml 1003 B
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.
- today Changed 826e27ef8293
- 10d ago First seen · 201 lines · 67 tokens per session scan A 730a306cde4b
skill-examples-bootstrap is a skill published in the GitHub repository confighub/confighub-skills (2 stars, last pushed today), licensed MIT. It adds 67 tokens to every session and 2,526 once invoked, about $0.0003 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 2026-08-31.
Other skills, from other repositories
deploy-docker-compose
Run the Omnigent server as a Docker compose stack (server + Postgres) on any Docker host — your laptop, a VPS, EC2 by hand, or as the base layer of any container-platform deploy. Invoke when the user wants to build the image, bring up the compose stack, debug the stack on a host they already have, or extend the stack…
compute-env-setup
Set up a reproducible Feynman compute environment for research jobs. Use when a task needs Python/R packages, GPU libraries, containers, Modal, SSH, caches, or managed model runtime setup.
securing-kubernetes-on-cloud
This skill covers hardening managed Kubernetes clusters on EKS, AKS, and GKE by implementing Pod Security Standards, network policies, workload identity, RBAC scoping, image admission controls, and runtime security monitoring. It addresses cloud-specific security features including IRSA for EKS, Workload Identity for…
detecting-privilege-escalation-in-kubernetes-pods
Detect and prevent privilege escalation in Kubernetes pods by monitoring security contexts, capabilities, and syscall patterns with Falco and OPA policies.
implementing-rbac-hardening-for-kubernetes
Harden Kubernetes Role-Based Access Control by implementing least-privilege policies, auditing role bindings, eliminating cluster-admin sprawl, and integrating external identity providers.
docker-socket-mount
Docker / containerd socket mounted into a container → host RCE. Common in CI runners, GitOps controllers (ArgoCD, Flux), and 'Docker-in-Docker' setups. Single-command escape via docker run --rm --privileged -v /:/host alpine chroot /host.