notebook.fix_logging

notebook.fix_logging is a skill for Claude Code from causify-ai/helpers. It costs 10 tokens per session (450 once invoked), scanned A, original, Apache-2.0.

A logging setup for Jupyter Notebooks, which are documents that run code and show its output. It applies a shared initialization pattern to control messages printed by notebook code and related modules.

In plain words
What is it for?
It is for configuring notebook logging and synchronizing the notebook with its paired Python file.
Why use it?
It keeps logging behavior consistent across the notebook, utility code, and imported modules.

Skill for Claude Code

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

Good fit It is for configuring notebook logging and synchronizing the notebook with its paired Python file.

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Install with agentmods
npx agentmods add skills/causify-ai/helpers/notebook.fix_logging
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 causify-ai/helpers --skill notebook.fix_logging
Clone the repo
git clone --depth 1 https://github.com/causify-ai/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.

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README.md
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Your own site
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Your own site · 80×15
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Per session 10 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 450 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 3
    Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.
    Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
How audits are shown
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 $0.00010 $0.00450
Opus 5.5 $0.00004 $0.00180
Sonnet 5.5 $0.00002 $0.00090
Haiku 4.5 $0.00001 $0.00045

Measured 15d ago against content hash 6e93582c7b00, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

notebook.fix_logging 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 15d 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.

.claude/skills/notebook.fix_logging/SKILL.md · 55 lines

What it actually says

Goal

  • Implement the instructions in .claude/skills/notebook.rules.md under ## Use Standard Template Structure

  • Use the structure from .claude/templates/notebook.template.py for consistent notebook initialization

  • Use display

  • In the local utility *_utils.py there should be a function like

    import helpers.hnotebook as hnotebo
    
    def init_loggers(notebook_log: logging.Logger) -> None:
        """
        Wire the notebook logger into the utils logger.
    
        :param notebook_log: logger owned by the notebook
        """
        hnotebo.init_loggers(notebook_log, utils_log=_LOG)
    
    • hnotebo.init_loggers() already calls config_notebook(), initializes hdbg at INFO level, and redirects the notebook and utils loggers to print
    • If the notebook needs a third-party logger (e.g., causalml), redirect it inside init_loggers() with hnotebo.set_logger_to_print():
      hnotebo.set_logger_to_print(logging.getLogger("causalml"))
      
  • In the notebook, the last setup cell calls utils.init_loggers(_LOG) instead of logging.basicConfig() or hdbg.init_logger()

Workflow

Sync Notebook

  • At the end, 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

  • Always follow the conventions and guidelines in .claude/skills/notebook.rules.md

Verification

  • Confirm the notebook init cell matches .claude/templates/notebook.template.py
  • Confirm utils.init_loggers() is called and log messages print in the notebook
  • 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. 15d ago Changed · +7 lines 6e93582c7b00
  2. 1mo ago Changed · +7 lines a9004781914f
  3. 1mo ago First seen · 41 lines · 10 tokens per session scan A ac83baf4ddac

Subscribe to this mod's changes

notebook.fix_logging is a skill published in the GitHub repository causify-ai/helpers (150 stars, last pushed yesterday), licensed Apache-2.0. It adds 10 tokens to every session and 450 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 2026-09-03.

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