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 G1Joshi/Agent-Skills --skill traefikgit clone --depth 1 https://github.com/G1Joshi/Agent-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/g1joshi/agent-skills/traefik)<a href="https://agentmods.dev/skills/g1joshi/agent-skills/traefik"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/traefik.svg" alt="Measured on agentmods" 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 | $0.00017 | $0.00389 |
| Opus 5 | $0.00009 | $0.00195 |
| Sonnet 5 | $0.00003 | $0.00078 |
| Haiku 4.5 | $0.00002 | $0.00039 |
Grade A, and why
traefik 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 4d 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
Traefik
Traefik is a modern reverse proxy that auto-discovers services. v3.0 (2025) supports Wasm Plugins and the Kubernetes Gateway API.
When to Use
- Docker/K8s: It watches the Docker socket or K8s API and reconfigures itself automatically. No config file edits needed for new services.
- Ease of Use: Automatic Let's Encrypt (ACME) integration is best-in-class.
- Middleware: Built-in auth (Basic, ForwardAuth), rate limiting, and circuit breakers.
Quick Start (Docker Compose)
labels:
- "traefik.enable=true"
- "traefik.http.routers.my-app.rule=Host(`example.com`)"
- "traefik.http.routers.my-app.entrypoints=websecure"
- "traefik.http.routers.my-app.tls.certresolver=myresolver"
Core Concepts
Providers
Sources of configuration (Docker, Kubernetes, File, Consul).
EntryPoints
Network ports (80, 443).
Routers
Connect requests to Services based on Rules (Host, Path).
Middleware
Modify requests (StripPrefix, Compress, Auth).
Best Practices (2025)
Do:
- Use v3 syntax: Adhere to the structure of
routersandservices. - Use Dashboard: The web UI is great for debugging routing issues.
- Use Let's Encrypt: TLS challenge handling is seamless.
Don't:
- Don't expose Dashboard publicly: It reveals infrastructure details. Secure it with middleware.
References
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.
- 4d ago First seen · 59 lines · 17 tokens per session scan A 6253fb55e87e
traefik is a skill published in the GitHub repository G1Joshi/Agent-Skills (12 stars, last pushed 6mo ago), licensed MIT. It adds 17 tokens to every session and 389 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.
Other skills, from other repositories
k8s-manifests
When writing K8s YAML, designing Helm charts, setting resource limits, configuring probes, or reviewing pod security.
service-mesh
Implement service mesh for mTLS, traffic management, and observability — Istio and Linkerd patterns for Kubernetes.
cloud-run-basics
Manages Cloud Run services, jobs, and worker pools. Use when you need to deploy applications responding to HTTP requests (services), run event-triggered or scheduled tasks (jobs), or handle always-on pull-based background processing (worker pools).
shipping-and-launch
Prepares production launches. Use when preparing to deploy to production. Use when you need a pre-launch checklist, when setting up monitoring, when planning a staged rollout, or when you need a rollback strategy.
apify-actorization
Actorization converts existing software into reusable serverless applications compatible with the Apify platform. Actors are programs packaged as Docker images that accept well-defined JSON input, perform an action, and optionally produce structured JSON output.
infrastructure
A guide for cloud-native infrastructure: software and configuration used to run applications in containers and manage cloud resources. It covers Kubernetes, Helm, Kustomize, GitOps tools such as ArgoCD and Flux, and infrastructure-as-code tools such as Terraform and Pulumi.