recall-quiz

recall-quiz is a skill for Claude Code, Codex from grcengineering/companion. It costs 57 tokens per session (458 once invoked), scanned A, original, MIT.

A short quiz and review guide that checks memory of previously studied concepts before giving feedback.

In plain words
What is it for?
Use it to test memory, review earlier topics, prepare to explain something, or practise concepts again after a session.
Why use it?
It helps learners discover what they can recall and revisit older material without receiving the answer first.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to test memory, review earlier topics, prepare to explain something, or practise concepts again after a session.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/grcengineering/companion/recall-quiz
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 grcengineering/companion --skill recall-quiz
Clone the repo
git clone --depth 1 https://github.com/grcengineering/companion

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.

agentmods badge for recall-quiz

README.md
[![agentmods](https://agentmods.dev/badge/skills/grcengineering/companion/recall-quiz.svg)](https://agentmods.dev/skills/grcengineering/companion/recall-quiz)
Your own site
<a href="https://agentmods.dev/skills/grcengineering/companion/recall-quiz"><img src="https://agentmods.dev/badge/skills/grcengineering/companion/recall-quiz.svg" alt="Measured on agentmods" height="20"></a>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 458 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 $0.00057 $0.00458
Opus 5 $0.00028 $0.00229
Sonnet 5 $0.00011 $0.00092
Haiku 4.5 $0.00006 $0.00046

Measured 8d ago against content hash 19833a4cc1a1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

recall-quiz 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 8d 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/recall-quiz/SKILL.md · 63 lines

What it actually says

recall-quiz

What

Quiz concepts and reasoning through retrieval before feedback. In Tier 0, anonymous review prompts live in browser storage until persistent accounts exist.

When

  • The learner wants to test memory.
  • The learner asks to revisit prior topics.
  • A session needs a retrieval check before moving on.
  • Progress state marks a concept as touched but not practised.

Not For

  • First-pass explanation of an unknown concept. Use concept-tutor.
  • Grading a full learner-authored explanation. Use feynman-explainer.
  • Tracking compliance maturity.

Inputs

  • Topic list from the learner or progress state.
  • Optional prior session notes.
  • Optional corpus references for answer grounding.

Steps

  1. Select one to three related concepts.
  2. Ask one question at a time.
  3. Let the learner answer before giving feedback.
  4. Mark the answer as correct, partial, or not yet.
  5. Give one concise correction or hint.
  6. Schedule or suggest the next review interval.

Validation

  • The learner retrieves before receiving the answer.
  • Feedback is short enough to preserve quiz flow.
  • Next review is explicit.

Gotchas

  • If the learner cannot answer at all, switch to a hint before explaining.
  • Do not quiz live programme facts; quiz concepts and reasoning patterns.
  • Do not ask too many questions in one turn.

Failure Modes

  • Passive review: avoid summarizing without retrieval.
  • Shame framing: grade the answer, not the learner.
  • Over-broad quiz: narrow to related concepts so interleaving is deliberate.

Examples

  • User says "Quiz me on evidence" -> Ask one question about evidence vs control, then grade and schedule a review.
  • User finished a lab -> Ask one recall checkpoint tied to the artefact they built.
  • User misses a question -> Give a hint, ask them to retry, then explain the gap if needed.
Files

What ships with it

3 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. 8d ago First seen · 63 lines · 57 tokens per session scan A 19833a4cc1a1

Subscribe to this mod's changes

recall-quiz is a skill published in the GitHub repository grcengineering/companion (33 stars, last pushed 3mo ago), licensed MIT. It adds 57 tokens to every session and 458 once invoked, about $0.0003 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 2026-08-30.

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