Borrowing it
Nothing to install: this file belongs to smileynet/teach-me. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/smileynet/teach-me/main/AGENTS.mdgit 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/instructions/smileynet/teach-me/agents-md)<a href="https://agentmods.dev/instructions/smileynet/teach-me/agents-md"><img src="https://agentmods.dev/badge/instructions/smileynet/teach-me/agents-md/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/instructions/smileynet/teach-me/agents-md"><img src="https://agentmods.dev/badge/instructions/smileynet/teach-me/agents-md.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 | $0.04919 | $0.04919 |
| Opus 5.5 | $0.01968 | $0.01968 |
| Sonnet 5.5 | $0.00984 | $0.00984 |
| Haiku 4.5 | $0.00492 | $0.00492 |
Grade B, and why
teach-me AGENTS.md scanned grade B with 2 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 14d 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.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
- PowerShell mangles complex inline shell-arg strings — inline JSON (`curl -d '{...}'`), `->`, backslashes, and long `git commit -m`/`tkt close --resolution` bodies get corrupted or misparsed. Use a file instead: `--data Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| Validating work | Validate from the user's perspective (Playwright click-through, curl the endpoint, load the page). Prefer linters, syntax checkers, and templates over formal test suites. Only write maintained tests f How it starts
The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — teach-me
Test bed for learning-oriented agent skills. Refined here, then ported to the user-level skill set for global deployment (historically crew-research; the current target is an open migration-finding ticket).
Workspace Layout
workspace/ — THE user's live learning workspace (gitignored; served from library/ until populated)
.kiro/skills/ — agent skills (teach, quiz-me, wait-what, jargon, visual-qa, theme, etc.)
.kiro/steering/ — visual-teaching guidelines
GLOSSARY.md — domain vocabulary
docs/adr/ — decision records (ADRs)
docs/agents/ — agent reference: specs/, research/, ink-reference/, notes
.scratch/ — ephemeral (gitignored) — only visual-qa output regenerated on run
.references/ — cloned reference repos (gitignored; index in REFERENCES.md, rehydrate via mise run rehydrate)
tools/ — project scripts (draw-diagram, visual-qa, theme-preview, render-diagrams, sr-*)
tools/lib/ — Python helpers (page_template.py is THE HTML page-shell source of truth; preact_page.py is its deprecated duplicate, slated for deletion in #199)
palettes/ — color palette definitions (JSON)
assets/ — shared: style.css, CSS variables, SVG patterns
assets/vendor/ — vendored Preact + Signals + HTM + dagre (self-hosted, no CDN)
assets/components/ — Preact components (MapView, TopicCard, QuizView, etc.)
assets/scaffolds/ — content-pattern examples (boilerplate is in tools/lib/page_template.py)
.tickets/ — local ticket tracking
library/ — public topic library (shipped, growing; served by default on a fresh clone — ADR 0012). Committed lessons/maps/reference per domain.
workspace/ is the single live workspace per machine — all topics (maps, lessons, quizzes, reference docs, learning records) go here. Gitignored (user-local); a fresh clone is served from library/ and a workspace is created only when no library exists or the user starts learning. Lessons are organized by domain: lessons/{domain-slug}/NN-slug.html, per-domain numbering from 01; quizzes and maps parallel this (lessons/{domain-slug}/quiz/, lessons/{domain-slug}/{domain}-map.html).
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.
- 14d ago Changed · +25 lines · +295 tokens per session 450720639791
- 15d ago Changed · +82 tokens per session 20ae7c12045b
- 1mo ago Changed · +177 tokens per session 8eb8e215f008
- 1mo ago Changed · -3 lines · -319 tokens per session d2dc67451b30
- 1mo ago Changed · +3 lines · +409 tokens per session baec5e10ac17
- 2mo ago Changed · +2 lines · +233 tokens per session 51dfbcdaabf5
- 2mo ago Changed · +2 lines · +285 tokens per session 2bced597f5dc
- 2mo ago Changed · -4 lines · -42 tokens per session 5e23ae7620e9
- 2mo ago First seen · 153 lines · 3,799 tokens per session scan B 5ee19fb4749d
teach-me AGENTS.md is an instructions file published in the GitHub repository smileynet/teach-me (3 stars, last pushed 12d ago), licensed MIT. It adds 4,919 tokens to every session, about $0.0197 per session on Opus 5.5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
teach-me AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| teach-me AGENTS.mdsmileynet/teach-me | Instructions file | 3 | 12d ago | MIT | B | 4,919 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |