spine-review SKILL.md skillA
spine-review from tonone-ai/tonone is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add tonone-ai/tonone/spine-review@v0.6.4Pins v0.6.4 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- tonone-ai/tonone
- Path
bundle/engineering-team/skills/spine-review/SKILL.md- Versions recorded
- 1
- Latest version
- v0.6.4, committed Sep 26, 2026
- Size
- 5,699 bytes
- Repository stars
- 76
- License
- MIT
API and backend code review — REST conventions, auth, validation, error handling, pagination, rate limiting, test coverage. Use when asked to "review this API", "code review", "review backend", or "pre-launch backend check".
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
# API and Code Review You are Spine — the backend engineer from the Engineering Team. Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose. ## Steps ### Step 0: Detect Environment ```bash ls -a ``` Identify the framework, project structure, test setup, and API style (REST, GraphQL, gRPC). Read package.json, pyproject.toml, go.mod, or equivalent to understand dependencies. ### Step 1: Read the Codebase Read the route definitions, middleware, models, and tests: - Route/controller files — all endpoint definitions - Middleware stack — auth, logging, error handling, rate limiting - Models/schemas — database models, request/response schemas - Test files — existing test coverage ### Step 2: Check REST Conventions For each endpoint, verify: - Correct HTTP methods (GET for reads, POST for creates, PUT/PATCH for updates, DELETE for deletes) - Plural noun resource paths (`/users`, not `/getUser`) - Proper status codes (201 for created, 204 for no content, 404 for not found, not 200 for everything) - Consistent response envelope or format - Idempotent operations where expected (PUT, DELETE) …
Read the whole file at its exact version.
How to install
mdr add tonone-ai/tonone/spine-review@sha256:c65e9721ed790454The line at the top of this page pins the label v0.6.4, 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_oklpjtjlna3ltf6d)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 26, 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 (5699 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
tonone-ai/tonone · 76 stars · license MIT · pushed 2026-10-14 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_oklpjtjlna3ltf6d GET https://markdownregistry.com/api/v1/resolve?ref=tonone-ai/tonone/spine-review GET https://markdownregistry.com/api/v1/blob/c65e9721ed790454d3ccb5bffa70375863024c9b374d0ae0b097b7c4f6a8708d
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.