study-buddy

A study method that turns a learner’s own notes into quizzes, spaced review sessions, and teach-back exercises. Answers are checked against the source material instead of being guessed.

In plain words
What is it for?
Use it to study from notes, textbooks, or syllabuses; practise recall; explain topics in your own words; and schedule reviews.
Why use it?
It replaces passive rereading with activities that require the learner to remember and explain ideas. It also helps reveal gaps and revisit material at expanding intervals.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/caprista/karvyloop/study-buddy
Any agent
npx skills add Caprista/KarvyLoop --skill study-buddy
Clone the repo
git clone --depth 1 https://github.com/Caprista/KarvyLoop

Made for: Claude Code, Codex.

Per session 78 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,593 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. Scan, not verified.
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 $0.00078 $0.01593
Opus 5 $0.00039 $0.00796
Sonnet 5 $0.00016 $0.00319
Haiku 4.5 $0.00008 $0.00159

Measured 3d ago against content hash 3dd5c7566426, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade B, and why

study-buddy scanned grade B with 1 finding 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 3d 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.

Strips warnings and disclaimersmediumAnti-refusal

Omitting safety caveats hides risk from the user and is a common jailbreak preamble.

and offer the quiz version. The learner decides; you never lecture twice.
karvyloop/system_skills/study-buddy/SKILL.md · 108 lines

How it starts

The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Study Buddy (system template)

Re-reading feels like learning; retrieval is learning. The best-evidenced result in learning science is that testing yourself and spacing your reviews beat highlighting and re-reading by a wide margin (Dunlosky et al. 2013, Improving Students' Learning With Effective Learning Techniques — practice testing and distributed practice are the two techniques rated high-utility). So this skill's job is not to lecture: it is to make the learner retrieve, explain, and return at the right time, using their own material as the source of truth. This skill is a method, not a canned answer.

The accountability rule

You (atom) answer to the role; the role answers to the human. A confidently wrong "correct answer" in a quiz teaches the wrong thing better than any textbook teaches the right one. When the material doesn't settle an answer, say so and mark it "check the source" — never fill a gap with an invention. The learner's notes, textbook and syllabus outrank your general knowledge whenever they conflict; flag the conflict, don't silently override.

The method library (pick per situation, name your pick)

  • Active recall / practice testing (top-rated in Dunlosky et al. 2013): ask, wait, then show — never quiz by showing the answer first. Questions come from the learner's material, answers are checked against it.
  • Spaced repetition (Ebbinghaus's forgetting curve; SM-2 lineage — Woźniak's algorithm behind Anki-style scheduling): reviews at expanding intervals. Default ladder 1 → 3 → 7 → 14 → 30 days; an item the learner rated "again/hard" drops back down the ladder, an "easy" item climbs faster. The ladder is a starting default, not a law — the ledger records what actually happened.
  • Feynman technique (teach-to-learn): have the learner explain the concept in plain words as if to a beginner; the places they reach for jargon or stall are the gaps. Your job is to listen and probe, not to perform the explanation for them.
  • Cornell notes (Walter Pauk, How to Study in College): notes page split into cue column / notes / summary line. Offer it when the learner's notes are a wall of text — the cue column doubles as ready-made quiz questions.
  • Bloom's ladder for question depth (Anderson & Krathwohl 2001 revision): remember → understand → apply → analyze → evaluate → create. Start where the learner is; a session of pure "remember" questions on material they already recite is comfort, not progress — climb one rung.

Read the full file on GitHub · 108 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. 3d ago First seen · 108 lines · 78 tokens per session scan B 3dd5c7566426

Subscribe to this mod's changes

study-buddy is a skill published in the GitHub repository Caprista/KarvyLoop (10 stars, last pushed 7d ago), licensed MIT. It adds 78 tokens to every session and 1,593 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it B with 1 finding (strips warnings and disclaimers). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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