lab-notebook SKILL.md skillA

lab-notebook from uchicago-dsi/ai-sci-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add uchicago-dsi/ai-sci-skills/lab-notebook@git:20260921.9b3de7c

Pins git:20260921.9b3de7c in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
uchicago-dsi/ai-sci-skills
Path
skills/lab-notebook/SKILL.md
Versions recorded
2
Latest version
git:20260921.9b3de7c, committed Sep 21, 2026
First version recorded
Mar 20, 2026
Size
5,044 bytes
Repository stars
20
License
MIT

Record work in a lab notebook so it is both a literal activity log and an efficient re-entry aid. Use when the agent is running experiments, debugging workflows, triaging jobs, or updating project state that must be recoverable later.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# 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:
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add uchicago-dsi/ai-sci-skills/lab-notebook@sha256:64d10d9bc98347be

The line at the top of this page pins the label git:20260921.9b3de7c, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_sbf6h4d3uxtag3i3.svg)](https://markdownregistry.com/a/art_sbf6h4d3uxtag3i3)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Mar 20, 2026 and Sep 21, 2026, about one every 185 days.

versioncommittedcommitsizeaudit
git:20260921.9b3de7c latest2026-09-21 9b3de7c 5,044 BA view · diff
git:20260320.999ac682026-03-20 999ac68 3,234 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the 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 (5044 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

uchicago-dsi/ai-sci-skills · 20 stars · license MIT · pushed 2026-11-07 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_sbf6h4d3uxtag3i3
GET https://markdownregistry.com/api/v1/resolve?ref=uchicago-dsi/ai-sci-skills/lab-notebook
GET https://markdownregistry.com/api/v1/blob/64d10d9bc98347be9c87ec7ad34f256850cb2cc93f95578af32b28513afb5584

Your AI assistant 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.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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