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 magnus919/hermes-profiles --skill traefikgit clone --depth 1 https://github.com/magnus919/hermes-profilesWrote 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/magnus919/hermes-profiles/traefik)<a href="https://agentmods.dev/skills/magnus919/hermes-profiles/traefik"><img src="https://agentmods.dev/badge/skills/magnus919/hermes-profiles/traefik/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/magnus919/hermes-profiles/traefik"><img src="https://agentmods.dev/badge/skills/magnus919/hermes-profiles/traefik.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 | $0.00036 | $0.00930 |
| Opus 5.5 | $0.00014 | $0.00372 |
| Sonnet 5.5 | $0.00007 | $0.00186 |
| Haiku 4.5 | $0.00004 | $0.00093 |
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 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.
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 — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Traefik
When to Load
Load this skill when the task involves configuring Traefik as a reverse proxy or ingress controller — setting up routers, middlewares, TLS certificates, service discovery via Docker labels or Kubernetes CRDs, or debugging traffic routing.
Core Concepts
Architecture
Traefik uses dynamic routing: entrypoints (ports) → routers (URL rules + middleware chains) → services (backend load balancing). Configuration comes from providers (Docker, Kubernetes, file, Consul, etc.) and can change without a restart.
Key Objects
- Entrypoints: Network listeners —
web(HTTP :80),websecure(HTTPS :443),traefik(dashboard :8080). Can define additional for specific services (metrics, TCP, UDP) - Routers: Match rules (
Host(\example.com`) && PathPrefix(`/api`)), protocol (HTTP, HTTPS, TCP, UDP), settls:` for HTTPS, attach middleware chain, reference backend service - Middlewares: Processing pipeline —
redirectScheme(HTTP → HTTPS),rateLimit,basicAuth/digestAuth/forwardAuth,addPrefix/stripPrefix,headers(CORS, security headers),retry,circuitBreaker,compress,replacePath,ipWhiteList,errorPage - Services: Load balancer config — servers with URLs/ports, health checks (interval, timeout, path), sticky sessions, circuit breakers, mirroring (traffic shadow for testing)
Provider Patterns
- Docker provider: Labels on containers —
traefik.enable=true,traefik.http.routers.app.rule=Host(\app.example.com`),traefik.http.services.app.loadbalancer.server.port=8080`. Hot-reloaded on container start/stop automatically - Kubernetes provider: Standard Ingress (limited) or
IngressRouteCRD (full Traefik features), CRD for Middleware, TLS options, ServersTransport resources - File provider: YAML/TOML/JSON config file, useful for static services and dynamic config not covered by other providers. TOML deprecated in v3 in favor of YAML
- Consul / etcd / Redis / ZooKeeper providers: Key-value stores for config — less common but useful for distributed environments without K8s
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 First seen · 52 lines · 36 tokens per session scan A 789a16be91dd
traefik is a skill published in the GitHub repository magnus919/hermes-profiles (342 stars, last pushed 4mo ago), licensed MIT. It adds 36 tokens to every session and 930 once invoked, about $0.0001 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 2026-08-30.
Other skills, from other repositories
openshell-cli
Guide agents through using the OpenShell CLI (openshell) for sandbox management, gateway registration, provider configuration and refresh, profile management, policy iteration, settings, service exposure, BYOC workflows, and attached-provider inference. Covers basic through advanced multi-step workflows. Trigger…
azd-deployment
Deploy containerized frontend + backend applications to Azure Container Apps with remote builds, managed identity, and idempotent infrastructure.
cdf-orchestration-setup
Use when the user asks to deploy, install, reinstall, redeploy, upgrade, or connect to the CDF Orchestration Airflow controller. Owns the end-to-end deploy sequence and runs the cdf-orchestration-preflight audit first. Covers make setup, controller image builds, Helm installation, controller connection…
langbot-deploy
Deploy and configure a LangBot instance — Docker / Docker Compose, Kubernetes, the config.yaml model, the Box sandbox runtime, the plugin runtime, and the global API key. Use when installing, deploying, upgrading, or configuring LangBot in production or self-hosted environments. Triggers on "deploy langbot", "langbot…
compute-env-setup
Set up a compute environment on a remote provider so Claude Science jobs can run there. Covers direct SSH/conda hosts, Slurm clusters, container-via-bridge runners, and managed-API providers (Modal, GCP, RunPod). Use when standing up a new provider, porting an env to a different backend, adding a tool that needs its…
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.