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 Open-Agent-Tools/General-OAT-Skills --skill teach-megit clone --depth 1 https://github.com/Open-Agent-Tools/General-OAT-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/open-agent-tools/general-oat-skills/teach-me)<a href="https://agentmods.dev/skills/open-agent-tools/general-oat-skills/teach-me"><img src="https://agentmods.dev/badge/skills/open-agent-tools/general-oat-skills/teach-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/open-agent-tools/general-oat-skills/teach-me"><img src="https://agentmods.dev/badge/skills/open-agent-tools/general-oat-skills/teach-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 | $0.00077 | $0.01791 |
| Opus 5 | $0.00039 | $0.00896 |
| Sonnet 5 | $0.00015 | $0.00358 |
| Haiku 4.5 | $0.00008 | $0.00179 |
Grade A, and why
teach-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 10d 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 — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Teach Me — Interactive Lesson Skill
Deliver a structured, interactive learning experience on any topic. Research the topic deeply, build a curriculum, then walk the user through lessons one at a time with comprehension checks.
Step 0 — Parse Arguments
Parse $ARGUMENTS to extract:
- Topic — everything that is not a flag. This is required. If missing, ask the user what they want to learn about.
- Level flag — one of
--beginner,--advanced,--expert. If none is specified, default tostandard(bachelor's-level professional with general domain background). - Lesson count —
--lessons Nwhere N is 1–10. Default is 10 if not specified.
How levels affect content:
| Level | Vocabulary | Depth | Scope |
|---|---|---|---|
--beginner |
Plain language, no jargon without definition | Foundational concepts, analogies, gentle intro | Core essentials only, skip advanced subtopics |
standard |
Professional, assumes general education | Solid conceptual + practical coverage | Broad coverage of key subtopics |
--advanced |
Technical, domain-specific terms OK | Deeper mechanics, trade-offs, edge cases | Includes nuanced and less common subtopics |
--expert |
Dense, assumes strong prior knowledge | Implementation details, internals, cutting edge | Comprehensive including niche and frontier topics |
Step 1 — Research Phase
Tell the user:
Researching {topic}... This will take a moment while I build your curriculum.
Launch 3 parallel research agents using the Agent tool to gather comprehensive material on the topic. Each agent should use WebSearch and WebFetch to find current, authoritative information.
Agent 1: Core Concepts & Foundations
subagent_type: general-purpose
Search the web for foundational material on the topic. Find:
- Authoritative tutorials, guides, and documentation
- Core terminology and definitions
- Key concepts a learner must understand
- The logical order concepts should be learned in
- Common misconceptions
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.
- 10d ago First seen · 219 lines · 77 tokens per session scan A 3e35712af35f
teach-me is a skill published in the GitHub repository Open-Agent-Tools/General-OAT-Skills (3 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 77 tokens to every session and 1,791 once invoked, about $0.0004 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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