Borrowing it
Nothing to install: this file belongs to Mohamed-El-Sharqawy/agent-tutor. 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/Mohamed-El-Sharqawy/agent-tutor/main/AGENTS.mdgit clone --depth 1 https://github.com/Mohamed-El-Sharqawy/agent-tutorWrote 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/mohamed-el-sharqawy/agent-tutor/agents-md)<a href="https://agentmods.dev/instructions/mohamed-el-sharqawy/agent-tutor/agents-md"><img src="https://agentmods.dev/badge/instructions/mohamed-el-sharqawy/agent-tutor/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/mohamed-el-sharqawy/agent-tutor/agents-md"><img src="https://agentmods.dev/badge/instructions/mohamed-el-sharqawy/agent-tutor/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 | $0.01043 | $0.01043 |
| Opus 5 | $0.00522 | $0.00522 |
| Sonnet 5 | $0.00209 | $0.00209 |
| Haiku 4.5 | $0.00104 | $0.00104 |
Grade A, and why
agent-tutor AGENTS.md 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 5d 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Learning System
This workspace is the source repo for agent-tutor — agent-agnostic tutoring skills plus optional pi extensions. It is also a live learning workspace: the owner runs learning sessions here.
Layout
| Location | What it does |
|---|---|
skills/agent-tutor |
Umbrella skill: intake → plan → lessons → quizzes → logs (works on any agent) |
skills/agent-tutor-review |
Standalone spaced-repetition review skill |
skills/agent-tutor-visualize |
Diagram selection + Mermaid/SVG standards |
extensions/md-log.ts |
pi learning_log tool: styled log entries in the vault |
extensions/quiz.ts |
pi quiz tool: interactive multiple-choice quizzes |
extensions/visual-tools/ |
pi mermaid_lint, svg_check, svg_save tools |
extensions/subagent.ts |
pi subagent tool: delegates to agents in agents/*.md |
agents/mermaid-maker.md, agents/svg-maker.md |
Diagram/illustration subagents |
examples/vault/ |
Sample filled-in vault for the README |
.pi/settings.json |
Loads the skills and extensions in pi (points at skills/, no copy) |
.agents/skills/, .claude/skills/, .windsurf/skills/ |
Generated copies of skills/ so the repo works out of the box in other agents. Run node scripts/sync-skills.mjs after changing skills/. CI fails on drift. Do not edit these directly. |
Vault location
All learning content goes under Learning/ inside the vault root, resolved as:
OBSIDIAN_VAULTenvironment variable (set it to your vault path)- fallback:
./learningin the current workspace
Never hardcode absolute vault paths in skills, extensions, or templates.
Session routine (when using this as a learning workspace)
- Read
Learning/Dashboard.mdin the vault to see active subjects, the review queue, and recent activity. - New subject → the
agent-tutorskill drives it. - Diagram work →
agent-tutor-visualize; delegate complex visuals to the subagents. - Revisit / practice →
agent-tutor-review. - End every session with a log entry (
learning_logtool or the fallback format in the skill).
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.
- 5d ago Changed · +22 lines · +324 tokens per session 64312e9b3428
- 10d ago First seen · 50 lines · 719 tokens per session scan A 2766a68f5585
agent-tutor AGENTS.md is an instructions file published in the GitHub repository Mohamed-El-Sharqawy/agent-tutor (3 stars, last pushed 10d ago), licensed MIT. It adds 1,043 tokens to every session, about $0.0052 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.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.