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 agentmods add skills/dojocodinglabs/code-sensei/deploymentnpx skills add DojoCodingLabs/code-sensei --skill deploymentgit clone --depth 1 https://github.com/DojoCodingLabs/code-senseiWhat 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 | $0.00037 | $0.00608 |
| Opus 5 | $0.00018 | $0.00304 |
| Sonnet 5 | $0.00007 | $0.00122 |
| Haiku 4.5 | $0.00004 | $0.00061 |
Grade A, and why
deployment 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 yesterday.
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.
Copies of this mod
1 near-identical copy found in the catalogue:
- deployment — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deployment — CodeSensei Teaching Module
What is Deployment?
- Analogy: Deployment is moving from rehearsal to opening night. Your app works on your computer (localhost), and deployment puts it on a server so the whole world can use it.
- Key insight: When you run
npm starton your computer, only YOU can see the app. Deployment puts it on someone else's computer (a server) that's always on and connected to the internet.
Localhost vs Production
- localhost — your computer, only you can access it. The rehearsal stage.
- Production — a server in the cloud, anyone with the URL can access it. Opening night.
- Staging — a test server that mimics production. The dress rehearsal.
Common Deployment Platforms
- Vercel — one-click deployment for Next.js/React apps. Push to GitHub, it deploys automatically.
- Netlify — similar to Vercel, great for static sites and simple apps.
- Railway / Render — for backend apps with databases.
- AWS / GCP / Azure — the industrial-grade options. More complex but more powerful.
- Key insight: For most vibecoded projects, Vercel or Railway is all you need.
Domains & DNS
- Analogy: A domain name (like myapp.com) is a nickname for your server's actual address (an IP like 192.168.1.1). DNS is the phone book that translates names to addresses.
- Teaching flow: User types myapp.com → DNS looks up the address → Browser connects to the server → Server sends the app
Environment Variables in Production
- Key insight: Your .env file doesn't get uploaded. You set environment variables SEPARATELY in your hosting platform's dashboard.
- Why: Security. Your code is often public (on GitHub), but your secrets shouldn't be.
CI/CD (Continuous Integration / Continuous Deployment)
- Analogy: An automatic assembly line. Every time you push code to GitHub, the system automatically tests it, builds it, and deploys it — without you clicking anything.
- Key insight: This is why developers "push to main" to deploy. The pipeline handles the rest.
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.
- yesterday First seen · 42 lines · 37 tokens per session scan A ce325d1ced23
deployment is a skill published in the GitHub repository DojoCodingLabs/code-sensei (14 stars, last pushed 2mo ago), licensed MIT. It adds 37 tokens to every session and 608 once invoked, about $0.0002 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 2026-08-30.
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