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/glacierxiaowei/structured-learning-skill/copilot-instructionsgit clone --depth 1 https://github.com/GlacierXiaowei/structured-learning-skillWhat 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 | $0.00573 | $0.00573 |
| Opus 5 | $0.00287 | $0.00287 |
| Sonnet 5 | $0.00115 | $0.00115 |
| Haiku 4.5 | $0.00057 | $0.00057 |
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 2d 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 — 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)
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.
- 2d ago First seen · 69 lines · 573 tokens per session scan A 4241fef713d4
structured-learning-skill copilot-instructions.md is an instructions file published in the GitHub repository GlacierXiaowei/structured-learning-skill (3 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 573 tokens to every session, about $0.0029 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.
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