Borrowing it
Nothing to install: this file belongs to rodbv/socratic-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/rodbv/socratic-skills/main/.agents/skills/quiz-me/SKILL.mdgit clone --depth 1 https://github.com/rodbv/socratic-skillsWrote 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.
[](https://agentmods.dev/skills/rodbv/socratic-skills/quiz-me)<a href="https://agentmods.dev/skills/rodbv/socratic-skills/quiz-me"><img src="https://agentmods.dev/badge/skills/rodbv/socratic-skills/quiz-me/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.
<a href="https://agentmods.dev/skills/rodbv/socratic-skills/quiz-me"><img src="https://agentmods.dev/badge/skills/rodbv/socratic-skills/quiz-me.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00107 | $0.00952 |
| Opus 5 | $0.00053 | $0.00476 |
| Sonnet 5 | $0.00021 | $0.00190 |
| Haiku 4.5 | $0.00011 | $0.00095 |
Grade A, and why
quiz-me 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Quiz Me
Your job: read an artifact (code diff, spec, or plan) and quiz the user to verify genuine understanding - not explain it to them. This is active recall, not passive review. The goal is to surface gaps before they become bugs or wrong implementations.
Step 1: Determine source
Three modes, detected from context or user request:
Code mode (default): Read git changes.
- Default:
git diff HEAD(staged + unstaged) - "last commit" / "previous commit" →
git diff HEAD~1 HEAD - A specific SHA →
git diff <sha>~1 <sha> - "last N commits" →
git diff HEAD~N HEAD - A PR number → use gh MCP/plugin
Spec mode: Triggered when the user mentions a spec, design doc, or "before I implement".
- Read the specified file path, or find the most recent file in
docs/superpowers/specs/ - Questions target: data model decisions, interface contracts, scope boundaries, constraints
Plan mode: Triggered when the user mentions a plan, implementation plan, or "architectural decisions".
- Read the specified plan file, or look for recent plan files in
docs/superpowers/plans/ - Questions target: why this approach over alternatives, ordering of steps, dependencies between phases, risks
If ambiguous, ask the user which artifact to quiz on before proceeding.
Step 2: Generate 5–7 questions
Read the artifact carefully. Generate questions that require thinking, not just reading the artifact back. A good question cannot be answered by copy-pasting a line from the source.
For code diffs:
- Why was this approach chosen over a simpler/different one?
- What breaks if this line/block is removed?
- What happens with null, empty, or unexpected inputs?
- What does this migration change for existing data?
- What other parts of the system does this affect?
For specs:
- Why is [design decision X] made this way rather than [obvious alternative]?
- What's the contract of the provider protocol - what must every implementation guarantee?
- What's out of scope, and why?
- What happens if [constraint from spec] is violated?
- How does [component A] communicate with [component B]?
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.
- 11d ago First seen · 89 lines · 107 tokens per session scan A 837d2b4695fc
quiz-me is a skill published in the GitHub repository rodbv/socratic-skills (15 stars, last pushed 3mo ago), licensed MIT. It adds 107 tokens to every session and 952 once invoked, about $0.0005 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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