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 tamdogood/builder-essential-skills --skill async-learning-teachergit clone --depth 1 https://github.com/tamdogood/builder-essential-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/tamdogood/builder-essential-skills/async-learning-teacher)<a href="https://agentmods.dev/skills/tamdogood/builder-essential-skills/async-learning-teacher"><img src="https://agentmods.dev/badge/skills/tamdogood/builder-essential-skills/async-learning-teacher/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/tamdogood/builder-essential-skills/async-learning-teacher"><img src="https://agentmods.dev/badge/skills/tamdogood/builder-essential-skills/async-learning-teacher.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 | $0.00068 | $0.01262 |
| Opus 5 | $0.00034 | $0.00631 |
| Sonnet 5 | $0.00014 | $0.00252 |
| Haiku 4.5 | $0.00007 | $0.00126 |
Grade A, and why
async-learning-teacher 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 12d 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 — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Async Learning Teacher
Mission
Convert raw learning captures into approachable teaching artifacts so a user can queue interesting resources now and study them later with less friction than reading the original source cold.
Use this skill for:
- Single links: blog posts, essays, papers, tweet threads, videos, documentation pages, or notes.
- Reference sets: 5-10+ links about one domain or topic.
- User-supplied pasted text when a link is unavailable, paywalled, deleted, or hard to scrape.
- Ongoing tutoring sessions where the agent should validate understanding before moving forward.
Modes
Choose one mode from the user's request.
Quick Teaching
Use quick-teach for one source or a small tightly related set of sources.
Intent:
Teach me this resource. Break it down step by step. Write each step like a chapter in a book. Write it all out at once. For subtle or difficult concepts, break things down further and use examples.
Produce a complete teaching artifact in one response or one saved document.
Interactive Tutor
Use interactive-tutor for broad topics, reference collections, or requests that explicitly ask to validate understanding.
Intent:
Resources:
[reference links or pasted excerpts]
I would like you to teach me about [topic]. Presume I understand [baseline]. Build up my understanding from scratch step by step. Do not move to the next step without validating my current understanding. For subtle or difficult concepts, break things down further and use examples.
Teach one step at a time. Stop at the end of each step and ask the user to explain their understanding or answer validation questions before continuing.
Default mode selection:
- One link or one source:
quick-teach. - Multiple references plus a broad topic:
interactive-tutor. - User says "quiz me", "validate me", "teach me over time", or "do not move on":
interactive-tutor.
Workflow
- Parse the user's capture:
- Source URLs
- Pasted source text
- Topic
- User's stated baseline knowledge
- Desired output location or format, if any
- Requested mode, if any
What ships with it
2 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.
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.
- 12d ago First seen · 193 lines · 68 tokens per session scan A e43a8de87e8d
async-learning-teacher is a skill published in the GitHub repository tamdogood/builder-essential-skills (197 stars, last pushed 26d ago), licensed MIT. It adds 68 tokens to every session and 1,262 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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