Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add yarikleto/claude-teacher-plugin/plugin install claude-teacherWrote 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/yarikleto/claude-teacher-plugin/flashcards)<a href="https://agentmods.dev/skills/yarikleto/claude-teacher-plugin/flashcards"><img src="https://agentmods.dev/badge/skills/yarikleto/claude-teacher-plugin/flashcards/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/yarikleto/claude-teacher-plugin/flashcards"><img src="https://agentmods.dev/badge/skills/yarikleto/claude-teacher-plugin/flashcards.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 | $0.00050 | $0.01943 |
| Opus 5 | $0.00025 | $0.00971 |
| Sonnet 5 | $0.00010 | $0.00389 |
| Haiku 4.5 | $0.00005 | $0.00194 |
Grade A, and why
flashcards 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 2d 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 — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Requested topic/task: $ARGUMENTS
Before accessing education data, read ${CLAUDE_PLUGIN_ROOT}/references/education-data.md. Resolve every <education-db> below using that contract. Current session ID: ${CLAUDE_SESSION_ID}.
Flashcards — Anki-Style Card Generation
Generates study flashcards from topics the student has already learned. Cards are prioritized by weakness, misconceptions, and spaced repetition schedule. Exports in Markdown and Anki-compatible CSV.
Invocation
/claude-teacher:flashcards — generate cards for all studied topics, prioritized by need
/claude-teacher:flashcards [topic] — generate cards for a specific topic
Process
1. Load Context
- Read
<education-db>/dashboard.json— get all topic statuses - Read
<education-db>/student.json— adapt card style to learning preferences - If a topic was given, read
<education-db>/topics/<topic>.json— check depth, misconceptions, quiz history - If no topic given, collect all topics from dashboard and read each topic file
- NEVER generate flashcards for topics not in the DB — the student hasn't learned them yet. If no studied topics exist: "Nothing to make flashcards for yet — let's learn something first!"
2. Prioritize Topics for Card Generation
Generate cards in this order (highest priority first):
- Weak topics — these need the most reinforcement
- Topics with unresolved misconceptions — targeted cards to correct misunderstandings
- Topics with
next_review <= today— due for spaced repetition - Topics at
surfacedepth — need more exposure to reachworking - Learned topics — general reinforcement
- Solid topics — fewer cards, focused on edge cases and connections
3. Generate Cards
For each topic, generate 5-10 flashcards using a mix of card types. Use WebSearch to verify every fact before putting it on a card — flashcards with wrong information are worse than no flashcards.
Card Types
Definition — core concept recall
Front: What is [concept]?
Back: [Concise definition]. [Why it matters in one sentence].
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.
- 2d ago Changed · +8 lines 20017155365b
- 9d ago First seen · 183 lines · 50 tokens per session scan A 0ee170d28d51
flashcards is a skill published in the GitHub repository yarikleto/claude-teacher-plugin (8 stars, last pushed 3d ago), licensed MIT. It adds 50 tokens to every session and 1,943 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 2026-08-31.
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