scaffold-deploy

scaffold-deploy is a skill for Claude Code, Codex from porcupine-md/jonggrang. It costs 29 tokens per session (664 once invoked), scanned A, original, MIT.

A generator for deployment files and continuous integration and delivery (CI/CD) setup. CI/CD automatically checks, builds, and deploys code, while the generated files describe how a project runs on a target platform.

In plain words
What is it for?
Use it to create Dockerfiles, local Docker Compose setups, environment-variable templates, and configuration for Vercel, Railway, Fly.io, or similar targets.
Why use it?
It removes the need to assemble platform-specific configuration and automated build steps from scratch.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create Dockerfiles, local Docker Compose setups, environment-variable templates, and configuration for Vercel, Railway, Fly.io, or similar targets.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/porcupine-md/jonggrang/scaffold-deploy
Install

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.

Any agent
npx skills add porcupine-md/jonggrang --skill scaffold-deploy
Clone the repo
git clone --depth 1 https://github.com/porcupine-md/jonggrang

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for scaffold-deploy

README.md
[![agentmods](https://agentmods.dev/badge/skills/porcupine-md/jonggrang/scaffold-deploy/github.svg)](https://agentmods.dev/skills/porcupine-md/jonggrang/scaffold-deploy)
Your own site
<a href="https://agentmods.dev/skills/porcupine-md/jonggrang/scaffold-deploy"><img src="https://agentmods.dev/badge/skills/porcupine-md/jonggrang/scaffold-deploy/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.

agentmods 80×15 button for scaffold-deploy

Your own site · 80×15
<a href="https://agentmods.dev/skills/porcupine-md/jonggrang/scaffold-deploy"><img src="https://agentmods.dev/badge/skills/porcupine-md/jonggrang/scaffold-deploy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 664 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 3 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Privilege Escalation · line 37
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 77
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 78
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00029 $0.00664
Opus 5 $0.00015 $0.00332
Sonnet 5 $0.00006 $0.00133
Haiku 4.5 $0.00003 $0.00066

Measured 9d ago against content hash 819900384de9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

scaffold-deploy 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 9d 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.

skills/core/scaffold-deploy/SKILL.md · 96 lines

What it actually says

Context

Project {{project_name}} ({{project_type}}) uses {{stack}}. Setup deployment to {{input.target}} with CI/CD via {{input.ci_provider}}.

Instructions

  1. Create Dockerfile (if target = docker, railway, fly, aws, gcp)

    • Multi-stage build (builder + runner)
    • Non-root user
    • Minimal image size (alpine if possible)
    • Proper .dockerignore
    • Health check endpoint
  2. Create docker-compose.yml (for local development)

    • App service
    • Database service (if applicable)
    • Redis service (if applicable)
    • Volume mounts for development
    • Environment variables from .env
  3. Create CI/CD pipeline

    GitHub Actions:

    .github/workflows/
    ├── ci.yml        # Run on PR: lint, typecheck, test
    ├── deploy.yml    # Run on push to main: build, deploy
    └── release.yml   # Run on tag (library only): publish
    

    GitLab CI:

    .gitlab-ci.yml    # stages: test, build, deploy
    
  4. Create environment configs

    • .env.example (template, committed)
    • Document required env vars
    • Separation: development, staging, production
  5. Platform-specific config:

    • Vercel: vercel.json
    • Railway: railway.toml
    • Fly.io: fly.toml
    • Library: npm publish config in package.json

Script

#!/bin/bash
# Create deployment directories
mkdir -p .github/workflows 2>/dev/null

# Create .dockerignore if using Docker
if [ "{{input.target}}" != "vercel" ]; then
cat > .dockerignore << 'DOCKERIGNORE'
node_modules
.git
.env
.env.local
dist
coverage
.next
DOCKERIGNORE
echo "Created .dockerignore"
fi

Validation

  • Dockerfile builds successfully (docker build .)
  • Container runs and responds to health check
  • CI pipeline syntax valid
  • CI pipeline runs successfully (lint, typecheck, test)
  • .env.example contains all required variables
  • No secrets hardcoded in any config file
  • .dockerignore excludes sensitive files
Changes

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.

  1. 9d ago First seen · 96 lines · 29 tokens per session scan A 819900384de9

Subscribe to this mod's changes

scaffold-deploy is a skill published in the GitHub repository porcupine-md/jonggrang (11 stars, last pushed yesterday), licensed MIT. It adds 29 tokens to every session and 664 once invoked, about $0.0001 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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