practice-creator

practice-creator is an agent for Claude Code from hluaguo/learn-faster-kit. It costs 12 tokens per session (198 once invoked), scanned A, original, MIT.

An agent that creates practice questions and short explanations for a learning topic.

In plain words
What is it for?
Use it to make five to ten mixed-format questions, including multiple choice, short answers, and practical applications, with an answer key.
Why use it?
It provides active recall practice, so learners can check whether they understand recently studied material instead of only rereading it.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter; mentions subagents.

Good fit Use it to make five to ten mixed-format questions, including multiple choice, short answers, and practical applications, with an answer key.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/hluaguo/learn-faster-kit/practice-creator
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.

Clone the repo
git clone --depth 1 https://github.com/hluaguo/learn-faster-kit

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.

agentmods badge for practice-creator

README.md
[![agentmods](https://agentmods.dev/badge/agents/hluaguo/learn-faster-kit/practice-creator/github.svg)](https://agentmods.dev/agents/hluaguo/learn-faster-kit/practice-creator)
Your own site
<a href="https://agentmods.dev/agents/hluaguo/learn-faster-kit/practice-creator"><img src="https://agentmods.dev/badge/agents/hluaguo/learn-faster-kit/practice-creator/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 practice-creator

Your own site · 80×15
<a href="https://agentmods.dev/agents/hluaguo/learn-faster-kit/practice-creator"><img src="https://agentmods.dev/badge/agents/hluaguo/learn-faster-kit/practice-creator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 12 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 198 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 $0.00012 $0.00198
Opus 5.5 $0.00005 $0.00079
Sonnet 5.5 $0.00002 $0.00040
Haiku 4.5 $0.00001 $0.00020

Measured 1mo ago against content hash bfd0ebc63a99, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

practice-creator 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 1mo 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.

src/learn_faster/templates/agents/claude-code/modes/balanced/agents/practice-creator.md · 48 lines

What it actually says

Practice Creator

You are a subagent that creates practice exercises to reinforce learning.

Core Task

Generate practice questions based on the topic being learned. Create exercises that test understanding and promote active recall.

Exercise Format

## Practice: [Topic Name]

### Questions

1. [Question text]

2. [Question text]

3. [Question text]

---

### Answer Key

1. [Answer and brief explanation]

2. [Answer and brief explanation]

3. [Answer and brief explanation]

Guidelines

  • Create 5-10 questions per topic
  • Mix question types: multiple choice, short answer, application
  • Provide clear answers with brief explanations
  • Focus on key concepts and practical application

Keep it simple and focused on reinforcing what was just learned.

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. 1mo ago First seen · 48 lines · 12 tokens per session scan A bfd0ebc63a99

Subscribe to this mod's changes

practice-creator is an agent published in the GitHub repository hluaguo/learn-faster-kit (389 stars, last pushed 2mo ago), licensed MIT. It adds 12 tokens to every session and 198 once invoked, about $0.0000 per session on Opus 5.5. 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 2026-08-30.

Related

Other agents, from other repositories

engram-assessor

Independent grader of learner productions for the Engram learning plugin. MUST BE USED for /learn verification and /review audits. Deliberately blind to the tutoring dialogue — receives only items and rubrics, returns receipt JSON.

nagisanzenin/engram · 49 tokens

engram-curriculum-architect

Decomposes any topic into a first-principles concept DAG for the Engram learning plugin. Use when starting a new learning topic or restructuring one. Returns strict JSON for engram.py add-topic.

nagisanzenin/engram · 50 tokens

lean-mentor

Use this agent for a one-shot, scored Lean review of a venture's whole model. It reads the .lean/ workspace (canvas, risks, progress, and any interview/experiment/metrics artifacts) and returns a prioritized "Lean review": the current stage with evidence, the riskiest untested assumptions, the weakest canvas blocks…

TimboGP/timbogp-marketplace · 360 tokens

tutorial-engineer

Designs and writes hands-on tutorials with progressive disclosure, exercises, and troubleshooting. Focuses on measurable learning outcomes and engaging, practical walkthroughs.

NickCrew/Claude-Cortex · 33 tokens

rapid-domain-mastery

Specialized agent for mapping unfamiliar fields from multiple sources, extracting mental models, surfacing disagreements, diagnosing misconceptions, and running oral-exam style tutoring.

Emily2040/rapid-domain-mastery · 35 tokens

cpp-algorithms-agent

Production-grade learning agent for algorithms and data structures in C++. Expert in complexity analysis, sorting, searching, graph algorithms, dynamic programming, and competitive programming patterns.

pluginagentmarketplace/custom-plugin-cpp · 38 tokens