spec-driven-refactoring SKILL.md skillA
spec-driven-refactoring from arasz/ai-badger is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add arasz/ai-badger/spec-driven-refactoring@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- arasz/ai-badger
- Path
.ai-badger/skills/spec-driven-refactoring/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0.0, committed Sep 11, 2026
- Size
- 13,767 bytes
- Repository stars
- 3
- License
- MIT
Use when the user says 'refactor', 'migrate', or 'rename across the codebase', or a change touches 5+ files across schemas, scripts, tests, and docs: write a spec, run two review gates (pre-implementation consistency + post-implementation quality), then implement against it. Covers schema migrations, concept renames, structural reorganizations.
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-Driven Refactoring Large refactors (schema migrations, concept renames, structural reorganizations) have more surface area for stale assumptions than normal features. This workflow adds two review gates to catch inconsistencies before they compound. ## When to use - Multi-file structural changes (5+ files across schemas, scripts, tests, docs) - Schema migrations (field renames, type changes, file relocations) - Concept renames that ripple through the entire codebase - Any refactor where "I thought X was at line Y" mistakes would be expensive ## Procedure ### 1. Analyze Read all affected files. Identify every contract the refactor touches: - Schemas (JSON Schema, TypeScript interfaces, etc.) - Scripts (build, scaffold, validate, install) - Tests (which test files reference the old structure) - Docs (architecture docs, authoring guides, README) ### 2. Write spec Produce a markdown specification covering: - **Problem statement** — what's wrong and why - **Design decisions** — numbered, explicit choices with rationale - **Proposed structure** — new/modified/removed files in a table - **Schemas** — full JSON Schema definitions for new contracts …
Read the whole file at its exact version.
How to install
mdr add arasz/ai-badger/spec-driven-refactoring@sha256:7f63e3239c53f307The line at the top of this page pins the label v1.0.0, 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.
[](https://markdownregistry.com/a/art_4r5oss6ngqgnga7q)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 11, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (13767 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
arasz/ai-badger · 3 stars · license MIT · pushed 2026-10-20 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_4r5oss6ngqgnga7q GET https://markdownregistry.com/api/v1/resolve?ref=arasz/ai-badger/spec-driven-refactoring GET https://markdownregistry.com/api/v1/blob/7f63e3239c53f3078969d35a72a8242944ed67c2c882719f74824682139711a4
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.