code-review is agent-read markdown (skill) from jellydn/my-ai-tools: Review a branch, PR, or worktree diff for repository conventions and stated intent..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
Two-axis review of the diff between `HEAD` and a fixed point the user supplies:
- **Conventions** — does the code follow this repo's documented coding standards and Tidy First practices?
- **Intent** — does the change faithfully do what it claims to do?
Both axes run as **parallel sub-agents** so they don't pollute each other's context, then this skill aggregates their findings.
## Where This Fits
This skill owns **micro / local quality** — conventions, clarity, correctness of individual changes. It answers: "Is this change well-crafted and does it do what it says?"
For **macro / structural quality** (architecture, code judo, 1k-line limits, abstraction quality), use `code-quality-review`. That skill asks: "Is there a dramatically simpler structure hiding inside this implementation?"
| Concern | code-review (this skill) | code-quality-review |
|---|---|---|
| Clean code & naming | ✅ Primary owner | — |
| Tidy First practices | ✅ Primary owner | — |
| Behavior matches commits | ✅ Primary owner | — |
| Guard clauses, helper vars | ✅ Primary owner | — |
| File under 1k lines | Flag if crossed | Enforce strictly |
…
Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
A 17 of 17 checks passed. Deterministic, no model, 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 (11211 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
jellydn/my-ai-tools · 121 stars · license MIT · pushed 2026-09-24 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_bd2d57oq4diiezrm
GET https://markdownregistry.com/api/v1/resolve?ref=jellydn/my-ai-tools/code-review
GET https://markdownregistry.com/api/v1/blob/f4d55086ab51757aee3ebd37a5448c1cb3e82e528b94d6bb6900241fd941f852
Your agent 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.
jellydn/my-ai-tools · configs/amp/plugins/my-ai-tools-skills/skills/accountable-engineering/SKILL.md · Use explicit human checkpoints for architecture, security, rollout, or operational decisions.
jellydn/my-ai-tools · configs/amp/plugins/my-ai-tools-skills/skills/blindspot-pass/SKILL.md · Inspect history and architecture for hidden constraints before risky cross-cutting changes.
jellydn/my-ai-tools · configs/amp/plugins/my-ai-tools-skills/skills/capability-experiments/SKILL.md · Build an interactive report or experiment when the user asks to explore model capabilities.
jellydn/my-ai-tools · configs/amp/plugins/my-ai-tools-skills/skills/code-quality-review/SKILL.md · Audit a diff for structural maintainability and unnecessary complexity.
jellydn/my-ai-tools · configs/amp/plugins/my-ai-tools-skills/skills/codemap/SKILL.md · Create a seven-document architecture map when the user asks to map a codebase.
jellydn/my-ai-tools · configs/amp/plugins/my-ai-tools-skills/skills/commit-atomic/SKILL.md · Group staged changes into atomic commits with commitizen convention
jellydn/my-ai-tools · configs/amp/plugins/my-ai-tools-skills/skills/context-discovery/SKILL.md · Use MCP tools to trace behavior that spans multiple modules or history sources.
basicmachines-co/basic-memory · .agents/skills/code-review/SKILL.md · Use when reviewing Basic Machines code for house style, architecture risk, pre-merge hardening, or whether a change…
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sandbaseai/sandbase-harness · examples/basic/skills/code-review/SKILL.md · Reviews a supplied code path or diff for correctness, security, maintainability, and style without executing or…
