scaffold-init SKILL.md skillA

This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.

scaffold-init from ramboz/jig is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add ramboz/jig/scaffold-init@git:20261027.1ccd3cd

Pins git:20261027.1ccd3cd in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
ramboz/jig
Path
hosts/claude/skills/scaffold-init/SKILL.md
Versions recorded
3
Latest version
git:20261027.1ccd3cd, committed Oct 27, 2026
First version recorded
Jun 22, 2026
Size
8,861 bytes
Repository stars
7
License
MIT

Initialize an AI-native development workspace with spec-driven workflow infrastructure. Use when starting a new project, setting up Claude Code on a codebase for the first time, or when the user says scaffold, initialize, set up AI workflow, onboard this repo, or similar. Do not use for adding an individual skill or config to an already- scaffolded project — that is handled by the relevant tier skill directly.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

> Spec 001 is fully implemented: greenfield-scaffold, doc-content, signal-detection,
> deferred-decisions, and Q&A wizard.
> See [docs/specs/001-scaffold-init/spec.md](../../docs/specs/001-scaffold-init/spec.md).

## What this skill does

Generates an AI-native development workspace by copying templates from
`${CLAUDE_PLUGIN_ROOT}/templates/` into a target directory. Detects project
signals from the filesystem (LLM/agent files, CI, tests, team), runs an optional
Q&A flow to let the user override those signals, and selects tiers accordingly.
Tier 0 always installs; Tier 1 installs when test signals are present; Tier 2
is offered (not auto-installed) when LLM/agent signals are present.

## How to use

1. Determine the target directory. Default: the current working directory.
   If you're unsure, **ask the user once** before scaffolding.
2. Check if the target already has a `scaffold.json` or `docs/specs/` — if so,
   the project is already scaffolded. **Stop and tell the user** rather than
   overwriting.
3. **Run the Q&A flow** (see next section). Collect answers as flag values.
4. Invoke the wizard with the collected flags:
   ```bash
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add ramboz/jig/scaffold-init@sha256:5ec3090fcf6efd26

The line at the top of this page pins the label git:20261027.1ccd3cd, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_j7jdfnf4vf2ajyps.svg)](https://markdownregistry.com/a/art_j7jdfnf4vf2ajyps)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between Jun 22, 2026 and Oct 27, 2026, about one every 64 days.

versioncommittedcommitsizeaudit
git:20261027.1ccd3cd latest2026-10-27 1ccd3cd 8,861 BA view · diff
git:20260730.a03f6c82026-07-30 a03f6c8 8,757 BA view · diff
git:20260622.65ad1f62026-06-22 65ad1f6 6,380 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (8861 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

ramboz/jig · 7 stars · license MIT · pushed 2026-10-27 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_j7jdfnf4vf2ajyps
GET https://markdownregistry.com/api/v1/resolve?ref=ramboz/jig/scaffold-init
GET https://markdownregistry.com/api/v1/blob/5ec3090fcf6efd26c3f45a6e60bb769e7470bda640d1cd05749392b93a47cad3

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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