code-review

code-review is a skill for Claude Code, Codex from datalayer/jupyter-mcp-server. It costs 62 tokens per session (1,774 once invoked), scanned A, original, BSD-3-Clause.

A code-review guide for changes to Jupyter MCP Server, a service that lets an agent read and run Jupyter notebooks.

In plain words
What is it for?
Use it when reviewing pull requests or diffs in this repository. It helps check tests, documentation, protocol behavior, and the result format of new tools.
Why use it?
It focuses review on quiet defects, such as tests that pass without checking the intended code or documentation that describes behavior the code does not implement.

Skill for Claude CodeCodex

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

About the project

Jupyter MCP Server is a Model Context Protocol server that lets AI agents connect to and manage Jupyter notebooks in real time. It supports notebooks running locally or on hosted platforms, and its catalogue add-ons provide commands and skills for working with those notebooks.

datalayer/jupyter-mcp-server · 1,271 stars · on GitHub · jupyter-mcp-server.datalayer.tech

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.

agentmods
npx agentmods add skills/datalayer/jupyter-mcp-server/code-review
Any agent
npx skills add datalayer/jupyter-mcp-server --skill code-review
Clone the repo
git clone --depth 1 https://github.com/datalayer/jupyter-mcp-server

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 code-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/datalayer/jupyter-mcp-server/code-review.svg)](https://agentmods.dev/skills/datalayer/jupyter-mcp-server/code-review)
Your own site
<a href="https://agentmods.dev/skills/datalayer/jupyter-mcp-server/code-review"><img src="https://agentmods.dev/badge/skills/datalayer/jupyter-mcp-server/code-review.svg" alt="Measured on agentmods" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,774 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00062 $0.01774
Opus 5 $0.00031 $0.00887
Sonnet 5 $0.00012 $0.00355
Haiku 4.5 $0.00006 $0.00177

Measured 6d ago against content hash 2a80e33d9d7b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

code-review 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 6d 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.

.github/skills/code-review/SKILL.md · 154 lines

How it starts

The opening of the file, as written. The whole thing — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Reviewing a change to Jupyter MCP Server

This server is what an agent talks to when it reads and runs somebody's notebooks. Most of what goes wrong here is quiet: a test that passes without exercising its subject, a tool that answers an empty list instead of an error, a page that documents a flag nothing reads. None of it fails loudly, and all of it has happened.

Review for those first. Ordinary bugs are usually caught by the suite.

Start here: does the test exercise its subject?

The most common defect in this repository is not broken code — it is a test that passes for a reason other than the one it claims. Two real examples:

  • test_an_expired_task_is_gone… called store.get() before store.list(). get() deletes the expired record itself, so by the time list() ran there was nothing left to sweep and the sweep never executed. list() was iterating a dictionary while popping from it — a guaranteed RuntimeError — and the test named after that path was green.
  • tests/test_mcpb_version_sync.py never ran at all. It imports scripts.sync_mcpb_version, scripts/ had no __init__.py, and the module failed at collection. The suite was green and the version drift it guards was unguarded.

So for every new or changed test, ask:

  • Would it fail if the behaviour were removed? If you cannot say yes, delete the assertion or strengthen it. Say so in the review.
  • Does an earlier line already do the work? A setup call that cleans up, caches, or short-circuits leaves the code under test unreached.
  • Does it assert a cell, or a substring of everything? assert "no" in output passes on almost any English. Pull the row or the field apart.
  • Does it signal by raising inside a try? Several functions here catch Exception deliberately — a test that raises to signal gets swallowed and asserts nothing. Record into a list and assert the list.
  • Does it set an environment variable that was already read at import? config-style modules read once. Patch the attribute, not the environment.

Read the full file on GitHub · 154 lines

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. 6d ago First seen · 154 lines · 62 tokens per session scan A 2a80e33d9d7b

Subscribe to this mod's changes

code-review is a skill published in the GitHub repository datalayer/jupyter-mcp-server (1,271 stars, last pushed yesterday), licensed BSD-3-Clause. It adds 62 tokens to every session and 1,774 once invoked, about $0.0003 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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