Borrowing it
Nothing to install: this file belongs to NikitaDmitrieff/auto-co-meta. 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/NikitaDmitrieff/auto-co-meta/main/.claude/skills/devops/SKILL.mdgit clone --depth 1 https://github.com/NikitaDmitrieff/auto-co-metaWrote 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/nikitadmitrieff/auto-co-meta/devops)<a href="https://agentmods.dev/skills/nikitadmitrieff/auto-co-meta/devops"><img src="https://agentmods.dev/badge/skills/nikitadmitrieff/auto-co-meta/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/nikitadmitrieff/auto-co-meta/devops"><img src="https://agentmods.dev/badge/skills/nikitadmitrieff/auto-co-meta/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 | $0.00048 | $0.01226 |
| Opus 5.5 | $0.00019 | $0.00490 |
| Sonnet 5.5 | $0.00010 | $0.00245 |
| Haiku 4.5 | $0.00005 | $0.00123 |
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 — 175 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 Vercel, Railway, Supabase, and GitHub Actions.
When to Use
- Deploy frontends and serverless functions to Vercel
- Deploy backend services to Railway
- Manage databases, auth, and storage with Supabase
- Set up CI/CD pipelines with GitHub Actions
- Monitor deployments and debug production issues
- Manage environment variables and secrets
Platform Selection
| Need | Choose |
|---|---|
| Frontend / Next.js / static sites | Vercel |
| Serverless API routes / edge functions | Vercel |
| Long-running backend services | Railway |
| Background workers / cron jobs | Railway |
| PostgreSQL database | Supabase |
| User authentication | Supabase Auth |
| File/image storage | Supabase Storage |
| Realtime subscriptions | Supabase Realtime |
| Edge functions (Deno) | Supabase Edge Functions |
| CI/CD pipelines | GitHub Actions |
Quick Start
# Vercel - deploy frontend
vercel deploy # Preview deployment
vercel deploy --prod # Production deployment
# Railway - deploy backend
railway up # Deploy current directory
railway logs # View service logs
# Supabase - manage database
supabase db push # Push migrations to remote
supabase migration new feat_name # Create new migration
# GitHub Actions - CI/CD
gh workflow run deploy.yml # Trigger workflow manually
gh run list # View recent runs
Command Reference
Vercel
# Deployments
vercel deploy # Deploy to preview
vercel deploy --prod # Deploy to production
vercel ls # List recent deployments
vercel inspect <url> # Deployment details
vercel logs <url> # View function logs
vercel redeploy # Redeploy latest
# Environment variables
vercel env pull .env.local # Pull env vars locally
vercel env add SECRET_KEY # Add env var (interactive)
vercel env rm SECRET_KEY # Remove env var
# Project management
vercel link # Link local dir to project
vercel project ls # List all projects
# Domains
vercel domains add example.com # Add custom domain
vercel domains ls # List domains
What ships with it
19 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.
- 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/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 First seen · 175 lines · 48 tokens per session scan A 86ea91a9f1a5
devops is a skill published in the GitHub repository NikitaDmitrieff/auto-co-meta (51 stars, last pushed 4mo ago), licensed MIT. It adds 48 tokens to every session and 1,226 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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