Use it for studying or reviewing academic topics, explaining formulas or theorems, preparing for exams, and reviewing chapters; it is not intended for programming tasks.

They provide a repeatable way to learn concepts, formulas, theorems, and exam material while covering prerequisites and common mistakes.

How GlacierXiaowei/structured-learning-skill configures GitHub Copilot

Q: What is structured-learning-skill copilot-instructions.md?

Teaching instructions for a GitHub Copilot learning aid that explains academic subjects in either a short three-step mode or a detailed seven-step mode.

Reuse

Borrowing it

Nothing to install: this file belongs to GlacierXiaowei/structured-learning-skill. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/GlacierXiaowei/structured-learning-skill/main/.github/copilot-instructions.md

Clone the repo

git clone --depth 1 https://github.com/GlacierXiaowei/structured-learning-skill

Made for: GitHub Copilot.

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/glacierxiaowei/structured-learning-skill/copilot-instructions/github.svg)](https://agentmods.dev/instructions/glacierxiaowei/structured-learning-skill/copilot-instructions)

Your own site

<a href="https://agentmods.dev/instructions/glacierxiaowei/structured-learning-skill/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/glacierxiaowei/structured-learning-skill/copilot-instructions/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/glacierxiaowei/structured-learning-skill/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/glacierxiaowei/structured-learning-skill/copilot-instructions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 573 This file is loaded in full into every session.

When invoked 573 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original 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.

Model	Per session	Once invoked
Fable 5.1	$0.00573	$0.00573
Opus 5.5	$0.00229	$0.00229
Sonnet 5.5	$0.00115	$0.00115
Haiku 4.5	$0.00057	$0.00057

Measured 2mo ago against content hash 4241fef713d4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

structured-learning-skill copilot-instructions.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 2mo 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.

.github/copilot-instructions.md · 69 lines

How it starts

The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Structured Learning Skill for GitHub Copilot

Overview

This skill provides structured learning for academic knowledge points with dual-mode teaching (concise 3-step / detailed 7-step). Designed for systematic learning, review, and exam preparation.

Activation Triggers

Use this skill when:

Learning or reviewing academic concepts
Explaining formulas or theorems
Preparing for exams
Systematic chapter reviews

Do NOT use for:

Single problem solving (suggest guided-learning instead)
Programming tasks

Teaching Modes

Concise Mode (3 Steps)

Summary + Conclusion: Brief overview with core conclusion
Key Steps: 2-3 derivation steps with conditions
Common Mistakes + Extension: Frequent errors + ask to expand

Detailed Mode (7 Steps)

Prerequisite Review: Related knowledge check
Knowledge Explanation: Core definition + intuitive understanding
Formulas/Theorems: Grouped presentation + memory tips
Typical Examples: 2-3 examples with complete solutions
Summary: Key points + exam highlights + common mistakes
Practice Problems: Basic + advanced (with hidden answers)
Confirmation: Ability checklist + memory update

Mode Selection

Default to Detailed Mode unless:

User says "复习" (review) → Concise Mode
User says "详细讲" (explain in detail) → Detailed Mode
User says "简单说" (keep it simple) → Concise Mode
User shows confusion → Detailed Mode

Commands

User Says	Action
"详细模式" / "详细讲"	Switch to detailed mode
"简明模式" / "简单说"	Switch to concise mode
"举个例子"	Add example
"不懂" / "没明白"	Switch to detailed, re-explain

Single Problem Requests

When user asks "这道题怎么做" (how to solve this problem):

Provide brief solution (1-2 key steps)
Add suggestion: "💡 This problem is suitable for guided learning. Consider using a guided-learning approach for step-by-step discovery."

Important Rules

Do NOT skip any step in detailed mode
Keep concise mode brief - user can ask to expand
Adapt to user level (check if they understand prerequisites)
Never mention missing capabilities (silent fallback)

Read the full file on GitHub · 69 lines

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.

2mo ago First seen · 69 lines · 573 tokens per session scan A 4241fef713d4

Subscribe to this mod's changes

structured-learning-skill copilot-instructions.md is an instructions file published in the GitHub repository GlacierXiaowei/structured-learning-skill (3 stars, last pushed 7mo ago), licensed Apache-2.0. It adds 573 tokens to every session, about $0.0023 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.

Learning and teaching

structured-learning-skill copilot-instructions.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
structured-learning-skill copilot-instructions.mdGlacierXiaowei/structured-learning-skill	Instructions file	3	7mo ago	Apache-2.0	A	573	GitHub Copilot
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	yesterday	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	yesterday	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

structured-learning-skill: Instructions file for GitHub Copilot