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/KhaledSaeed18/dotclaudeWrote 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/commands/khaledsaeed18/dotclaude/deploy-setup)<a href="https://agentmods.dev/commands/khaledsaeed18/dotclaude/deploy-setup"><img src="https://agentmods.dev/badge/commands/khaledsaeed18/dotclaude/deploy-setup/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/commands/khaledsaeed18/dotclaude/deploy-setup"><img src="https://agentmods.dev/badge/commands/khaledsaeed18/dotclaude/deploy-setup.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 | $0.00044 | $0.00824 |
| Opus 5.5 | $0.00018 | $0.00330 |
| Sonnet 5.5 | $0.00009 | $0.00165 |
| Haiku 4.5 | $0.00004 | $0.00082 |
Grade A, and why
deploy-setup 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 11d 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 — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Context
Request: $ARGUMENTS
Repository:
!git branch --show-current 2>/dev/null; git status --short 2>/dev/null | head -5; cat package.json 2>/dev/null | head -40
Existing deployment files:
!ls Dockerfile .dockerignore healthcheck.js shutdown.cjs docker-entrypoint.sh .nvmrc .github/workflows 2>/dev/null; grep -n "output\|rewrites" next.config.* 2>/dev/null; ls prisma 2>/dev/null
Task
Take the repository from code to automatic deploys through GHCR and Coolify, in phases. Each phase ends with a short status; stop for the owner only where a secret, a Coolify resource or a merge is needed.
Phase 0: Branch and detect
Create ci/coolify-pipeline from the default branch. Detect the stack: a next dependency means Next.js; express with prisma means the API. If both or neither, ask. Pin packageManager in package.json and the Node major in .nvmrc if missing; run the install with --frozen-lockfile to prove the lockfile still matches.
Phase 1: Package the image
Apply the nextjs-coolify-image skill or the express-prisma-coolify-image skill: Dockerfile, ignore allowlist, probe, shutdown or entrypoint, health route, config changes. Build locally with the production inputs, build the image, and run the smoke checks the skill lists. Do not continue until they pass locally.
Phase 2: Pipeline
Apply the ghcr-coolify-pipeline skill: write .github/workflows/pipeline.yml from the matching template, keep every existing quality gate, delete the old CI workflow, adapt the change classifier, run actionlint. Set the repository variables you own (SITE_URL, the API origin, COOLIFY_URL, COOLIFY_APP_UUID once known).
Phase 3: Documentation
Write docs/engineering/DEPLOYMENT.md (or the repository's equivalent place): where it runs, the pipeline table, build-time versus runtime inputs, the health probe, the Coolify settings, rollback, the rollover check command, the local image check. Add a pointer from the repository's agent instructions file.
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.
- 11d ago First seen · 56 lines · 44 tokens per session scan A 0645b394f473
deploy-setup is a command published in the GitHub repository KhaledSaeed18/dotclaude (5 stars, last pushed 2d ago), licensed MIT. It adds 44 tokens to every session and 824 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 2026-10-05.
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