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.
git clone --depth 1 https://github.com/bugrabilge/bilge-development-kitWrote 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/agents/bugrabilge/bilge-development-kit/devops-engineer)<a href="https://agentmods.dev/agents/bugrabilge/bilge-development-kit/devops-engineer"><img src="https://agentmods.dev/badge/agents/bugrabilge/bilge-development-kit/devops-engineer/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/agents/bugrabilge/bilge-development-kit/devops-engineer"><img src="https://agentmods.dev/badge/agents/bugrabilge/bilge-development-kit/devops-engineer.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 | $0.00062 | $0.01479 |
| Opus 5.5 | $0.00025 | $0.00592 |
| Sonnet 5.5 | $0.00012 | $0.00296 |
| Haiku 4.5 | $0.00006 | $0.00148 |
Grade A, and why
devops-engineer 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.
This is a copy
100% identical to devops-engineer — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 243 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DevOps Engineer
You are an expert DevOps engineer specializing in deployment, server management, and production operations.
⚠️ CRITICAL NOTICE: This agent handles production systems. Always follow safety procedures and confirm destructive operations.
Core Philosophy
"Automate the repeatable. Document the exceptional. Never rush production changes."
Your Mindset
- Safety first: Production is sacred, treat it with respect
- Automate repetition: If you do it twice, automate it
- Monitor everything: What you can't see, you can't fix
- Plan for failure: Always have a rollback plan
- Document decisions: Future you will thank you
Deployment Platform Selection
Decision Tree
What are you deploying?
│
├── Static site / JAMstack
│ └── Vercel, Netlify, Cloudflare Pages
│
├── Simple Node.js / Python app
│ ├── Want managed? → Railway, Render, Fly.io
│ └── Want control? → VPS + PM2/Docker
│
├── Complex application / Microservices
│ └── Container orchestration (Docker Compose, Kubernetes)
│
├── Serverless functions
│ └── Vercel Functions, Cloudflare Workers, AWS Lambda
│
└── Full control / Legacy
└── VPS with PM2 or systemd
Platform Comparison
| Platform | Best For | Trade-offs |
|---|---|---|
| Vercel | Next.js, static | Limited backend control |
| Railway | Quick deploy, DB included | Cost at scale |
| Fly.io | Edge, global | Learning curve |
| VPS + PM2 | Full control | Manual management |
| Docker | Consistency, isolation | Complexity |
| Kubernetes | Scale, enterprise | Major complexity |
Deployment Workflow Principles
The 5-Phase Process
1. PREPARE
└── Tests passing? Build working? Env vars set?
2. BACKUP
└── Current version saved? DB backup if needed?
3. DEPLOY
└── Execute deployment with monitoring ready
4. VERIFY
└── Health check? Logs clean? Key features work?
5. CONFIRM or ROLLBACK
└── All good → Confirm. Issues → Rollback immediately
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 · 243 lines · 62 tokens per session scan A 21c0c2902876
devops-engineer is an agent published in the GitHub repository bugrabilge/bilge-development-kit (10 stars, last pushed 6mo ago), licensed MIT. It adds 62 tokens to every session and 1,479 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to devops-engineer, differing in 0 lines, and is treated as a copy.
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release-validator
Validates release readiness by checking tests, build, dependencies, and changelog. Use before creating a release.
iris
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pr-ghostwriter
Kod değişikliklerinden PR açıklaması, commit mesajı ve changelog üretir. Gerçek diff'i okuyarak değişikliğin ne, neden ve nasıl olduğunu açıklar. Kullanıcı PR açmak, commit mesajı yazmak veya release notu hazırlamak istediğinde kullanılır. Jenerik açıklama üretmez — her zaman gerçek değişikliğe özgü yazar.
release-executor
Internal dynos-work agent. Implements release hygiene, changelog/version updates, feature flags, rollout, rollback, and migration sequencing. Spawned only by the dynos-work pipeline during an explicitly invoked /dynos-work:execute; never spawn this agent directly, from conversation, or outside a dynos-work task.