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.
npx skills add TheSmokeDev/taskchad-os --skill flashcardsgit clone --depth 1 https://github.com/TheSmokeDev/taskchad-osWrote 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/thesmokedev/taskchad-os/flashcards)<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.
<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>- NVIDIA SkillSpector pass
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 | $0.00032 | $0.00229 |
| Sonnet 5 | $0.00013 | $0.00091 |
| Haiku 4.5 | $0.00006 | $0.00046 |
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 6d 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.
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 revealback. - Ask the user to grade 0–5 (0 = blank, 5 = perfect).
- Update schedule with the SM-2 algorithm in
scripts/sm2.pyand 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).
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.
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.
- 6d ago First seen · 57 lines · 63 tokens per session scan A e3d67164248c
flashcards is a skill published in the GitHub repository TheSmokeDev/taskchad-os (23 stars, last pushed 2d ago), licensed MIT. It adds 63 tokens to every session and 457 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 2026-09-03.
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