A study tool that turns notes or topics into question-and-answer flashcards and schedules reviews using spaced repetition, a method that revisits facts at increasing intervals.

Creating study decks, reviewing due cards, answering quizzes, and recording self-assessed results.

It turns passive notes into active recall practice and keeps track of which cards are due for review.

flashcards — Skill for Claude Code and Codex by TheSmokeDev

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 TheSmokeDev/taskchad-os --skill flashcards

Clone the repo

git clone --depth 1 https://github.com/TheSmokeDev/taskchad-os

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/thesmokedev/taskchad-os/flashcards/github.svg)](https://agentmods.dev/skills/thesmokedev/taskchad-os/flashcards)

Your own site

<a href="https://agentmods.dev/skills/thesmokedev/taskchad-os/flashcards"><img src="https://agentmods.dev/badge/skills/thesmokedev/taskchad-os/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/thesmokedev/taskchad-os/flashcards"><img src="https://agentmods.dev/badge/skills/thesmokedev/taskchad-os/flashcards.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 457 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.

Model	Per session	Once invoked
Fable 5.1	$0.00063	$0.00457
Opus 5.5	$0.00025	$0.00183
Sonnet 5.5	$0.00013	$0.00091
Haiku 4.5	$0.00006	$0.00046

Measured 2mo ago against content hash e3d67164248c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 2mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/sm2.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

optional-skills/productivity/flashcards/SKILL.md · 57 lines

What it actually says

Flashcards

Generate spaced-repetition flashcards from notes and run review sessions.

Deck format

One JSON file per deck under vault/flashcards/<deck>.json:

[
  {
    "id": "uuid",
    "front": "What does the recall pipeline do?",
    "back": "Surfaces durable memory relevant to the current message.",
    "ease": 2.5,
    "interval_days": 0,
    "due": "2026-06-25",
    "reps": 0
  }
]

Generating cards

From a note or topic, extract atomic question/answer pairs — one fact per card, front phrased as a question, back as a short answer. Avoid compound cards. Aim for 5–15 cards per note; quality over volume.

Review session

Load the deck, filter to cards where due <= today.
Show front, wait for the user's answer, then reveal back.
Ask the user to grade 0–5 (0 = blank, 5 = perfect).
Update schedule with the SM-2 algorithm in scripts/sm2.py and persist.

uv run python optional-skills/productivity/flashcards/scripts/sm2.py --grade 4 \
  --ease 2.5 --interval 1 --reps 2

End the session with a one-line tally (reviewed / again / mastered).

Files

What ships with it

1 file 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.

scripts/sm2.py 1.5 KB runs code

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.

2mo ago First seen · 57 lines · 63 tokens per session scan A e3d67164248c

Subscribe to this mod's changes

flashcards is a skill published in the GitHub repository TheSmokeDev/taskchad-os (28 stars, last pushed 1mo ago), licensed MIT. It adds 63 tokens to every session and 457 once invoked, about $0.0003 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 2026-09-03.

Learning and teaching Orchestration agent-memory ai-agents desktop-agent operating-room second-brain

flashcards next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
flashcardsTheSmokeDev/taskchad-os	Skill	28	1mo ago	MIT	A	63	Claude Code, Codex
flow-nexus-swarmruvnet/ruflo	Skill	82k	today	MIT	A	20	Claude Code
agent-challengesruvnet/ruflo	Skill	82k	today	MIT	A	15	Claude Code
llmtornado-tutorial-generatorlofcz/LLMTornado	Skill	654	4d ago	MIT	A	31	Claude Code, Codex
flashcardsfuyuxiang/echo-agent	Skill	1.0k	yesterday	none	A	25	Claude Code, Codex
anolisa-guidealibaba/anolisa	Skill	603	2mo ago	Apache-2.0	A	106	Claude Code, Codex
graphifymycelium-hq/ai-brain-starter	Skill	50	yesterday	MIT	A	111	Claude Code