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 smileynet/teach-me --skill teachgit clone --depth 1 https://github.com/smileynet/teach-meWrote 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/smileynet/teach-me/teach)<a href="https://agentmods.dev/skills/smileynet/teach-me/teach"><img src="https://agentmods.dev/badge/skills/smileynet/teach-me/teach/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/smileynet/teach-me/teach"><img src="https://agentmods.dev/badge/skills/smileynet/teach-me/teach.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 | $0.00046 | $0.04050 |
| Opus 5.5 | $0.00018 | $0.01620 |
| Sonnet 5.5 | $0.00009 | $0.00810 |
| Haiku 4.5 | $0.00005 | $0.00405 |
Grade A, and why
teach 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 16d 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 — 296 lines — stays where its author put it; the contents beside it link to each section on GitHub.
The user wants to learn something. This is stateful — they intend multiple sessions.
Ownership & Routing
teach is the conversational learning engine. It owns the live relationship with the
learner; generate-topic owns the durable artifact assembly line. The two never both drive
the same request.
teach owns:
- First-contact orientation and mission elicitation (
.user/learner-profile.md) - Finding the ZPD and deciding what to teach next
- Interactive teaching: re-explanation of existing material, Socratic follow-ups, zoom navigation
- Quick single-lesson drafts during a live session (no completeness guarantee)
- The map (MAP.md) as the curriculum spine
- Learner-state reads/writes (under
.user/only)
teach does NOT own (hand off, don't duplicate):
- The durable authoring sequence (research → lesson → reference → SR → quiz → verify). That
procedure has a single owner: the
generate-topicPhase 2 pipeline. Whenteachneeds a complete, verified, tracked artifact, it invokesgenerate-topicrather than re-running the steps itself. - SR-question structure — owned by generate-topic/references/sr-question-authoring.md.
- Exercise design and the callout/decision hierarchy — owned by
visual-teaching.md. - Retention quizzing of already-taught material — owned by
quiz-me.
Hand off to generate-topic when: the learner names a topic to learn, asks for a new
lesson, or asks to "complete" / fill gaps on an existing topic — anything that must produce a
durable, verified artifact. Hand off to quiz-me when the learner wants to be tested on what
they already learned.
Keep in teach when: the learner is mid-conversation and needs a concept re-explained
("wait, what?"), wants orientation ("show me the map", "where do I start?"), is setting up
their mission/preferences, or explicitly wants a throwaway draft inside the current session.
See the routing table in #routing-table for how specific prompts resolve.
What ships with it
7 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.
- 16d ago Changed · +79 lines 9f086796a63d
- 1mo ago Changed · +2 lines 2b6ec2156c05
- 2mo ago Changed cbcd34b09147
- 2mo ago First seen · 215 lines · 46 tokens per session scan A e85e6bd7cb65
teach is a skill published in the GitHub repository smileynet/teach-me (3 stars, last pushed 13d ago), licensed MIT. It adds 46 tokens to every session and 4,050 once invoked, about $0.0002 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 2026-08-31.
teach compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| teachsmileynet/teach-me | Skill | 3 | 13d ago | MIT | A | 46 | Kiro |
| ankibytesagain/ai-skills | Skill | 16 | 6mo ago | none | A | 53 | Claude Code, Codex |
| reading-metaskillkangarooking/cangjie-skill | Skill | 12k | 1mo ago | MIT | A | 139 | Claude Code, Codex |
| assisted-masteryathola/claude-night-market | Skill | 348 | today | MIT | A | 32 | Claude Code |
| antivibemohi-devhub/antivibe | Skill | 1.1k | 3mo ago | MIT | A | 50 | Claude Code |
| shikhu-inquiryarjunpatel7/shikhu | Skill | 16 | today | MIT | A | 212 | Claude Code |
| shikhu-studyarjunpatel7/shikhu | Skill | 16 | today | MIT | A | 40 | Claude Code |