lab-notebook

lab-notebook is a skill for Codex from uchicago-dsi/ai-sci-skills. It costs 51 tokens per session (665 once invoked), scanned A, original, MIT.

A workflow for recording experiments, debugging, job triage, and project state in a lab notebook, a written record that supports later review.

In plain words
What is it for?
Use it to document commands, scripts, configurations, job IDs, artifacts, results, confidence in conclusions, and decisions affected by the work.
Why use it?
It makes past actions, evidence, conclusions, and current beliefs easier to audit and recover after an interruption.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to document commands, scripts, configurations, job IDs, artifacts, results, confidence in conclusions, and decisions affected by the work.

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Install with agentmods
npx agentmods add skills/uchicago-dsi/ai-sci-skills/lab-notebook
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 uchicago-dsi/ai-sci-skills --skill lab-notebook
Clone the repo
git clone --depth 1 https://github.com/uchicago-dsi/ai-sci-skills

Made for: 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 lab-notebook

README.md
[![agentmods](https://agentmods.dev/badge/skills/uchicago-dsi/ai-sci-skills/lab-notebook/github.svg)](https://agentmods.dev/skills/uchicago-dsi/ai-sci-skills/lab-notebook)
Your own site
<a href="https://agentmods.dev/skills/uchicago-dsi/ai-sci-skills/lab-notebook"><img src="https://agentmods.dev/badge/skills/uchicago-dsi/ai-sci-skills/lab-notebook/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 lab-notebook

Your own site · 80×15
<a href="https://agentmods.dev/skills/uchicago-dsi/ai-sci-skills/lab-notebook"><img src="https://agentmods.dev/badge/skills/uchicago-dsi/ai-sci-skills/lab-notebook.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 665 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 $0.00051 $0.00665
Opus 5 $0.00026 $0.00332
Sonnet 5 $0.00010 $0.00133
Haiku 4.5 $0.00005 $0.00067

Measured 9d ago against content hash 1d087746b921, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

lab-notebook 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 9d 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.

skills/lab-notebook/SKILL.md · 80 lines

How it starts

The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Lab Notebook

Optimize For Re-entry And Auditability

  • A notebook should answer both:
    • what exactly happened?
    • what do we currently believe?
  • Prefer one low-friction chronological record plus a sparse current-summary layer.
  • Reuse the project's existing notebook pattern instead of inventing a new structure.

Choose The Notebook Shape

  • If the project already uses one file with summary plus chronology, keep that shape.
  • If the project already uses a detailed campaign notebook plus a sparse top-level lab notebook, keep that split.
  • Do not create two equally detailed notebooks.
  • Default rule:
    • detailed layer: append literal work record
    • summary layer: update only when the decision or current understanding changes

Use This Entry Contract

For each meaningful experiment, debugging step, or job intervention, capture:

  1. Question or goal.
  2. Action taken.
  3. Evidence:
    • commands, scripts, configs, paths, job IDs, artifacts, metrics.
  4. Result:
    • what actually happened.
  5. Conclusion:
    • the inference you are drawing, if any.
  6. Inference confidence:
    • low, medium, or high when the entry is making a real inference.
  7. Decision impact:
    • what changed in current understanding, or what the next step is.

Update The Summary Sparingly

  • Update the summary layer only when one of these changes:
    • current best explanation
    • current best branch or baseline
    • settled negative results
    • next discriminative check
    • success criterion or decision rule
  • Do not rewrite the summary after every routine action.
  • The summary should be short enough that a fresh agent can re-enter from it.
  • If multiple live explanations matter, keep a tiny hypothesis registry in the summary layer:
    • hypothesis
    • strongest support
    • strongest weakening evidence
    • next falsifier

Make Entries Useful

  • Include exact evidence paths and identifiers.
  • Include representative visual artifact paths when a plot, overlay, slice, curve, or diff view materially affected the decision.
  • Record negative results explicitly when they rule out a family of ideas.
  • If the entry draws an inference, state it explicitly instead of leaving it implicit in the next step.
  • Keep inference confidence coarse: low, medium, or high.
  • Do not add confidence to entries that are only reporting raw observations or routine actions.
  • Preserve chronology so later readers can reconstruct what happened.
  • End each entry with "so what?" in concrete form.
  • If nothing changed in understanding, say that explicitly.

Read the full file on GitHub · 80 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 9d ago First seen · 80 lines · 51 tokens per session scan A 1d087746b921

Subscribe to this mod's changes

lab-notebook is a skill published in the GitHub repository uchicago-dsi/ai-sci-skills (17 stars, last pushed today), licensed MIT. It adds 51 tokens to every session and 665 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 2026-08-31.

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