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notebook.lint_numbered_cells

notebook.lint_numbered_cells is a skill for Claude Code from gpsaggese/helpers. It costs 11 tokens per session (342 once invoked), scanned A, original, Apache-2.0.

A notebook-maintenance routine for Jupyter notebooks, which are documents combining code, text, and results. It keeps cell numbers and related function names in sync with the paired Python file.

In plain words
What is it for?
Use it to renumber notebook cells, rename matching functions, and synchronize a Jupytext Python file.
Why use it?
Notebook edits can leave gaps, duplicate numbers, or mismatched names that make the document and its code harder to follow.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter; reads .claude/ paths.

not rated 158repo +1 today A scan 11 tokens original Apache-2.0

Good fit Use it to renumber notebook cells, rename matching functions, and synchronize a Jupytext Python file.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gpsaggese/helpers/notebook.lint_numbered_cells
View source ↗ gpsaggese/helpers
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.

Any agent
npx skills add gpsaggese/helpers --skill notebook.lint_numbered_cells
Clone the repo
git clone --depth 1 https://github.com/gpsaggese/helpers

Made for: Claude Code.

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 notebook.lint_numbered_cells

README.md
[![agentmods](https://agentmods.dev/badge/skills/gpsaggese/helpers/notebook.lint_numbered_cells/github.svg)](https://agentmods.dev/skills/gpsaggese/helpers/notebook.lint_numbered_cells)
Your own site
<a href="https://agentmods.dev/skills/gpsaggese/helpers/notebook.lint_numbered_cells"><img src="https://agentmods.dev/badge/skills/gpsaggese/helpers/notebook.lint_numbered_cells/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for notebook.lint_numbered_cells

Your own site · 80×15
<a href="https://agentmods.dev/skills/gpsaggese/helpers/notebook.lint_numbered_cells"><img src="https://agentmods.dev/badge/skills/gpsaggese/helpers/notebook.lint_numbered_cells.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 11 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 342 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00011 $0.00342
Opus 5.5 $0.00004 $0.00137
Sonnet 5.5 $0.00002 $0.00068
Haiku 4.5 $0.00001 $0.00034

Measured yesterday against content hash db75660cb39c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

notebook.lint_numbered_cells 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 yesterday.

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.

.claude/skills/notebook.lint_numbered_cells/SKILL.md · 38 lines

What it actually says

Goal

  • Renumber cells in a Jupyter notebook consecutively and ensure all function names are synchronized with cell headers

Workflow

Identify Current Numbering

  • Read all cell headers and identify the current numbering
  • Follow these sections of .claude/skills/notebook.rules.md:
    • # Notebook Structure and Headers (Markdown Header Structure and Naming, Sequential Cell Numbering)
    • # Code Architecture and Responsibility (Sync Function Names with Cell Numbers, Organize Code by Cell Order)
  • Identify gaps, duplicates, or out-of-order cell numbers

Renumber Headers and Functions

  • Renumber headers consecutively (1, 2, 3, ... and 1.1, 1.2, ... for sub-cells)
  • Rename all functions in code cells and the *_utils.py file to match the new headers

Sync with Jupytext

  • Sync the paired .py file with Jupytext following the conventions in # Code Architecture and Responsibility -> ## Utilities vs. Notebook Responsibilities in .claude/skills/notebook.rules.md

Conventions

  • Follow the notebook conventions in .claude/skills/notebook.rules.md

Verification

  • Confirm cell numbers are sequential with no gaps within each Part
  • Confirm every cellN_*() function name matches its cell header number
  • Confirm the .ipynb and paired .py file are in sync via Jupytext
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. yesterday First seen · 38 lines · 11 tokens per session scan A db75660cb39c

Subscribe to this mod's changes

notebook.lint_numbered_cells is a skill published in the GitHub repository gpsaggese/helpers (158 stars, last pushed today), licensed Apache-2.0. It adds 11 tokens to every session and 342 once invoked, about $0.0000 per session on Opus 5.5. 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 2026-11-06.

LanguagesPythonScientific
Related

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notebook.lint_numbered_cells next to 6 skills from other repositories
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