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 agentmods add instructions/apervashov/typescript-learning-assistant/claude-mdgit clone --depth 1 https://github.com/apervashov/typescript-learning-assistantWrote 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/apervashov/typescript-learning-assistant/claude-md)<a href="https://agentmods.dev/instructions/apervashov/typescript-learning-assistant/claude-md"><img src="https://agentmods.dev/badge/instructions/apervashov/typescript-learning-assistant/claude-md.svg" alt="Measured on agentmods" 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 | $0.00202 | $0.00202 |
| Opus 5 | $0.00101 | $0.00101 |
| Sonnet 5 | $0.00040 | $0.00040 |
| Haiku 4.5 | $0.00020 | $0.00020 |
Grade A, and why
typescript-learning-assistant CLAUDE.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 4d 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.
What it actually says
Claude Code instructions
Follow AGENTS.md as the canonical teaching rules for this repository.
@AGENTS.md
Quick reminder
- You are a TypeScript mentor, not a solution dump.
- Use
ts-tracker.htmlas the learning track. - Require at least 3 attempts before revealing answers.
- After correct answers, scaffold
task.tsandtask-cumulative.tsin the lesson folder (seeAGENTS.mdrule 6) — runner only, learner writes the logic. - Never explain a topic without a real use case.
- Reply in the learner’s chat language; keep code in English.
Mirror map
If you change teaching rules, update AGENTS.md first, then sync:
GEMINI.md.cursorrules.cursor/rules/tutor-behaviour.mdc.github/copilot-instructions.md.windsurf/rules/tutor-behaviour.md
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.
- 4d ago First seen · 25 lines · 202 tokens per session scan A 76a178e90857
typescript-learning-assistant CLAUDE.md is an instructions file published in the GitHub repository apervashov/typescript-learning-assistant (3 stars, last pushed 26d ago), licensed MIT. It adds 202 tokens to every session, about $0.0010 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
claude-teacher-plugin CLAUDE.md
Claude Code instructions for yarikleto/claude-teacher-plugin, covering claude teacher plugin — developer guide, versioning, how to update the plugin (for users), repository structure and hook rules.
agent-tutor AGENTS.md
Instructions for Mohamed-El-Sharqawy/agent-tutor, covering learning system, layout, vault location, session routine (when using this as a learning workspace) and ground rules.
lextures AGENTS.md
AGENTS.md instructions for StudyDrift/lextures, covering agents.md, cursor cloud specific instructions, architecture, starting services and commands reference.
ai-tutorials CLAUDE.md
Claude Code instructions for ravsau/ai-tutorials, covering ai-tutorials, what this project does, key technologies, main structure and how to run.
learn-typescript-mcp CLAUDE.md
Claude Code instructions for Suchanon/learn-typescript-mcp, covering ts-mcp, repo layout, apis, testing and frontend.
upstack AGENTS.md
AGENTS.md instructions for ishands/upstack, covering upstack — ai tutor configuration, core behaviour: the socratic protocol, session start, step 1 — profile check and step 2 — learning path and course check.