learning-coach

learning-coach is an agent for Claude Code from SVerITG/Metis. It costs 0 tokens per session (513 once invoked), scanned A, original, AGPL-3.0.

A learning coach for day-to-day study guidance, spaced repetition, and skill practice. Spaced repetition means reviewing material at planned intervals so it is easier to remember.

In plain words
What is it for?
It is for planning study sessions, explaining concepts, choosing review work, and creating practice exercises.
Why use it?
It helps decide what to study, clarify difficult topics, and maintain a review routine.

Agent for Claude Code

Install

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.

agentmods
npx agentmods add agents/sveritg/metis/learning-coach
Clone the repo
git clone --depth 1 https://github.com/SVerITG/Metis

Made for: Claude Code.

Wrote 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.

agentmods badge for learning-coach

README.md
[![agentmods](https://agentmods.dev/badge/agents/sveritg/metis/learning-coach.svg)](https://agentmods.dev/agents/sveritg/metis/learning-coach)
Your own site
<a href="https://agentmods.dev/agents/sveritg/metis/learning-coach"><img src="https://agentmods.dev/badge/agents/sveritg/metis/learning-coach.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 513 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.00513
Opus 5 $0.00000 $0.00257
Sonnet 5 $0.00000 $0.00103
Haiku 4.5 $0.00000 $0.00051

Measured today against content hash 531aec0705bb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

learning-coach 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 today.

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.

.claude/agents/learning-coach.md · 50 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Changes

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.

  1. today First seen · 50 lines · 0 tokens per session scan A 531aec0705bb

Subscribe to this mod's changes

learning-coach is an agent published in the GitHub repository SVerITG/Metis (3 stars, last pushed today), licensed AGPL-3.0. It costs nothing until one of its globs matches a file; then it loads 513 tokens. 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 2026-09-05.

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