A guided learning session that uses recall questions, spaced review, and links between related subjects.

Use it to explore a topic, continue an existing study plan, practise with a quiz, or plan a curriculum.

It gives study sessions a defined structure and helps you revisit older material instead of only reading new material.

How jordantcarlisle/personal-os configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to jordantcarlisle/personal-os. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/jordantcarlisle/personal-os/main/.claude/commands/study.md

Clone the repo

git clone --depth 1 https://github.com/jordantcarlisle/personal-os

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.

README.md

[![agentmods](https://agentmods.dev/badge/commands/jordantcarlisle/personal-os/study.svg)](https://agentmods.dev/commands/jordantcarlisle/personal-os/study)

Your own site

<a href="https://agentmods.dev/commands/jordantcarlisle/personal-os/study"><img src="https://agentmods.dev/badge/commands/jordantcarlisle/personal-os/study.svg" alt="Measured on agentmods" height="20"></a>

Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 419 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.

Model	Per session	Once invoked
Fable 5.1	$0.00000	$0.00419
Opus 5	$0.00000	$0.00210
Sonnet 5	$0.00000	$0.00084
Haiku 4.5	$0.00000	$0.00042

Measured 6d ago against content hash 61aa06917884, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

study 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.

.claude/commands/study.md · 42 lines

What it actually says

Learning Tutor — Study Session

Start a guided study session with spaced repetition, Socratic questioning, and interdisciplinary connections.

Requires the Learning System module to be activated.

Process

Load context:
- Read 02-areas/learning/active-plan.md for current focus
- Check what was last studied and when (for spaced repetition)
Choose mode — ask the user:
- Explore: "I want to learn something new" → Introduce new material with guided discovery
- Study: "I'm working through [topic]" → Continue where they left off with active recall
- Review: "Quiz me" → Spaced repetition on previously studied material
- Plan: "Help me plan my learning" → Curriculum mapping and scheduling
Explore Mode:
- Ask what they're curious about
- Provide a conceptual overview (big picture first)
- Use Socratic questioning: "What do you think happens when...?"
- Connect to things they already know (analogical thinking per Epstein)
Study Mode:
- Start with retrieval: "Before we continue, what do you remember from last session?"
- Interleave: mix in related concepts from other domains
- Use the Feynman technique: "Explain this back to me simply"
- Apply focused mode → if stuck, suggest a break for diffuse mode (Oakley)
Review Mode:
- Pull concepts studied 1 day, 3 days, 7 days, and 30 days ago
- Quiz with increasing difficulty
- Flag concepts that need more work vs. those that are solid
- Update the spaced repetition schedule
After the session:
- Summarize what was covered
- Note any breakthrough moments or insights
- Flag content opportunities: "That insight could be a great post"
- Update 02-areas/learning/active-plan.md with progress

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.

6d ago First seen · 42 lines · 0 tokens per session scan A 61aa06917884

Subscribe to this mod's changes

study is a command published in the GitHub repository jordantcarlisle/personal-os (3 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 419 tokens. 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.

Learning and teaching

personal-os: Command for Claude Code

Borrowing it

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

What it actually says

Learning Tutor — Study Session

Process

What this file has done since we first saw it

Other commands, from other repositories

review

learn-story-flow

annex-a-deep-dive

start-10-1

start-13-4.en

start-0-8