Auto-Company is a software system that runs a recurring team of AI agents on a personal computer, where the agents plan work, make decisions, write code, deploy applications, and handle marketing. It is intended for autonomous product development on Windows, Linux, or macOS, using command-line agent tools and a local dashboard to track cycles and results. The catalogue entries are skills, agents, settings, and instructions that support this automated workflow.
Borrowing it
Nothing to install: this file belongs to MaxMiksa/Auto-Company. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/MaxMiksa/Auto-Company/main/.claude/skills/devops/SKILL.mdgit clone --depth 1 https://github.com/MaxMiksa/Auto-CompanyWrote 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/maxmiksa/auto-company/devops)<a href="https://agentmods.dev/skills/maxmiksa/auto-company/devops"><img src="https://agentmods.dev/badge/skills/maxmiksa/auto-company/devops/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/maxmiksa/auto-company/devops"><img src="https://agentmods.dev/badge/skills/maxmiksa/auto-company/devops.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 | $0.00050 | $0.00848 |
| Opus 5.5 | $0.00020 | $0.00339 |
| Sonnet 5.5 | $0.00010 | $0.00170 |
| Haiku 4.5 | $0.00005 | $0.00085 |
Grade A, and why
devops 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 — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DevOps Skill
Deploy and manage cloud infrastructure across Cloudflare, Docker, Google Cloud, and Kubernetes.
When to Use
- Deploy serverless apps to Cloudflare Workers/Pages
- Containerize apps with Docker, Docker Compose
- Manage GCP with gcloud CLI (Cloud Run, GKE, Cloud SQL)
- Kubernetes cluster management (kubectl, Helm)
- GitOps workflows (Argo CD, Flux)
- CI/CD pipelines, multi-region deployments
- Security audits, RBAC, network policies
Platform Selection
| Need | Choose |
|---|---|
| Sub-50ms latency globally | Cloudflare Workers |
| Large file storage (zero egress) | Cloudflare R2 |
| SQL database (global reads) | Cloudflare D1 |
| Containerized workloads | Docker + Cloud Run/GKE |
| Enterprise Kubernetes | GKE |
| Managed relational DB | Cloud SQL |
| Static site + API | Cloudflare Pages |
| Container orchestration | Kubernetes |
| Package management for K8s | Helm |
Quick Start
# Cloudflare Worker
wrangler init my-worker && cd my-worker && wrangler deploy
# Docker
docker build -t myapp . && docker run -p 3000:3000 myapp
# GCP Cloud Run
gcloud run deploy my-service --image gcr.io/project/image --region us-central1
# Kubernetes
kubectl apply -f manifests/ && kubectl get pods
Reference Navigation
All files below are in this skill’s references/ directory.
Cloudflare Platform
cloudflare-platform.md- Edge computing overviewcloudflare-workers-basics.md- Handler types, patternscloudflare-workers-advanced.md- Performance, optimizationcloudflare-workers-apis.md- Runtime APIs, bindingscloudflare-r2-storage.md- Object storage, S3 compatibilitycloudflare-d1-kv.md- D1 SQLite, KV storebrowser-rendering.md- Puppeteer automation
Docker
docker-basics.md- Dockerfile, images, containersdocker-compose.md- Multi-container apps
Google Cloud
gcloud-platform.md- gcloud CLI, authenticationgcloud-services.md- Compute Engine, GKE, Cloud Run
Kubernetes
kubernetes-basics.md- Core concepts, architecture, workloadskubernetes-kubectl.md- Essential commands, debugging workflowkubernetes-helm.md/kubernetes-helm-advanced.md- Helm charts, templateskubernetes-security.md/kubernetes-security-advanced.md- RBAC, secretskubernetes-workflows.md/kubernetes-workflows-advanced.md- GitOps, CI/CDkubernetes-troubleshooting.md/kubernetes-troubleshooting-advanced.md- Debug
What ships with it
28 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.
- .env.example 2.5 KB
- references/browser-rendering.md 6.8 KB
- references/cloudflare-d1-kv.md 2.5 KB
- references/cloudflare-platform.md 7.1 KB
- references/cloudflare-r2-storage.md 6.1 KB
- references/cloudflare-workers-advanced.md 7.1 KB
- references/cloudflare-workers-apis.md 6.8 KB
- references/cloudflare-workers-basics.md 8.6 KB
- references/docker-basics.md 5.7 KB
- references/docker-compose.md 4.7 KB
- references/gcloud-platform.md 6.9 KB
- references/gcloud-services.md 5.8 KB
- references/kubernetes-basics.md 1.7 KB
- references/kubernetes-helm-advanced.md 1.7 KB
- references/kubernetes-helm.md 1.8 KB
- references/kubernetes-kubectl.md 1.7 KB
- references/kubernetes-security-advanced.md 1.8 KB
- references/kubernetes-security.md 1.7 KB
- references/kubernetes-troubleshooting-advanced.md 1.4 KB
- references/kubernetes-troubleshooting.md 1.4 KB
- references/kubernetes-workflows-advanced.md 1.3 KB
- references/kubernetes-workflows.md 1.6 KB
- scripts/cloudflare_deploy.py 7.5 KB runs code
- scripts/docker_optimize.py 11 KB runs code
- scripts/requirements.txt 471 B
- scripts/tests/requirements.txt 52 B
- scripts/tests/test_cloudflare_deploy.py 9.0 KB runs code
- scripts/tests/test_docker_optimize.py 13 KB runs code
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 Changed · +2 lines 9b637e4b851b
- 1mo ago First seen · 97 lines · 50 tokens per session scan A 2456b40d4a02
devops is a skill published in the GitHub repository MaxMiksa/Auto-Company (3,141 stars, last pushed 4d ago), licensed MIT. It adds 50 tokens to every session and 848 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 2026-08-30.
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