academic-study-methods

academic-study-methods is a skill for Claude Code, Codex from wentorai/research-plugins. It costs 14 tokens per session (1,828 once invoked), scanned A, original, MIT.

A guide to study methods supported by cognitive psychology, including spaced repetition, active recall, interleaving, and self-explanation. It explains which techniques help people retain information and how to use them.

In plain words
What is it for?
Use it to plan study routines, improve retention, support academic learning, and advise students or researchers on effective study practices.
Why use it?
It helps replace passive study habits with methods that are more likely to improve long-term learning. It also explains the effort and purpose behind each technique.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it to plan study routines, improve retention, support academic learning, and advise students or researchers on effective study practices.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wentorai/research-plugins/academic-study-methods
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 wentorai/research-plugins --skill academic-study-methods
Clone the repo
git clone --depth 1 https://github.com/wentorai/research-plugins

Made for: Claude Code, 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.

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README.md
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Per session 14 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,828 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 pass 7 Sept 2026
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 $0.00014 $0.01828
Opus 5 $0.00007 $0.00914
Sonnet 5 $0.00003 $0.00366
Haiku 4.5 $0.00001 $0.00183

Measured 7d ago against content hash e37061512b6b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

academic-study-methods 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 7d 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/domains/education/academic-study-methods/SKILL.md · 229 lines

How it starts

The opening of the file, as written. The whole thing — 229 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Evidence-Based Academic Study Methods

Overview

Decades of cognitive psychology research have identified which study techniques reliably improve learning and retention, and which popular methods are largely ineffective. This guide covers the most effective evidence-based strategies — spaced repetition, active recall, interleaving, elaboration, and concrete examples — with practical implementation advice for graduate students and researchers.

Effectiveness Ranking

Based on Dunlosky et al. (2013) comprehensive review of 10 learning techniques:

Technique Effectiveness Effort Why It Works
Practice testing (active recall) High Medium Strengthens retrieval pathways
Distributed practice (spacing) High Low Exploits spacing effect in memory consolidation
Interleaved practice Moderate-High Medium Improves discrimination between concepts
Elaborative interrogation Moderate Low Generates explanatory connections
Self-explanation Moderate Medium Forces integration with prior knowledge
Summarization Low Medium Too passive; rarely deep enough
Highlighting Low Low Creates illusion of learning
Rereading Low Low Recognition ≠ recall
Keyword mnemonic Low-Moderate High Works for vocabulary, not concepts

Core Techniques

1. Active Recall (Practice Testing)

Instead of rereading notes, test yourself:

## Implementation Strategies

Flashcards:
  - Front: Question or concept name
  - Back: Full explanation (not just definition)
  - Tool: Anki (spaced repetition built-in)
  - Rule: If you can explain it without looking, you know it

Blank page method:
  1. Close all materials
  2. Write everything you know about a topic from memory
  3. Open materials and identify gaps
  4. Focus next study session on the gaps

Practice problems:
  - Work through problems WITHOUT looking at solutions first
  - Check solutions only after attempting
  - Struggle is productive — it strengthens memory

Cornell Notes method:
  | Cue Column (30%) | Notes Column (70%)            |
  |-------------------|-------------------------------|
  | Key questions      | Detailed notes from lecture    |
  | After class:       | Cover notes, use cues to recall|
  | Summary section at bottom (written from memory)     |

Read the full file on GitHub · 229 lines

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. 7d ago First seen · 229 lines · 14 tokens per session scan A e37061512b6b

Subscribe to this mod's changes

academic-study-methods is a skill published in the GitHub repository wentorai/research-plugins (291 stars, last pushed 2mo ago), licensed MIT. It adds 14 tokens to every session and 1,828 once invoked, about $0.0001 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 2026-09-03.

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