Borrowing it
Nothing to install: this file belongs to timothywarner-org/copilot-cert-prep. 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/timothywarner-org/copilot-cert-prep/main/.github/instructions/gh300-teaching-content.instructions.mdgit clone --depth 1 https://github.com/timothywarner-org/copilot-cert-prepWrote 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/timothywarner-org/copilot-cert-prep/gh300-teaching-content)<a href="https://agentmods.dev/instructions/timothywarner-org/copilot-cert-prep/gh300-teaching-content"><img src="https://agentmods.dev/badge/instructions/timothywarner-org/copilot-cert-prep/gh300-teaching-content/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/timothywarner-org/copilot-cert-prep/gh300-teaching-content"><img src="https://agentmods.dev/badge/instructions/timothywarner-org/copilot-cert-prep/gh300-teaching-content.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 | $0.00563 | $0.00563 |
| Opus 5.5 | $0.00225 | $0.00225 |
| Sonnet 5.5 | $0.00113 | $0.00113 |
| Haiku 4.5 | $0.00056 | $0.00056 |
Grade A, and why
GH-300 Teaching Content Rules 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 1mo 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 — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GH-300 Teaching Content Rules
Purpose
This repository supports the four-hour O'Reilly Live Learning course Pass Your GitHub Copilot Certification Exam, delivered September 24, 2026, 9 a.m.-1 p.m. Central. Prioritize learner clarity, exam relevance, and practical outcomes.
Always Do
- Write for mixed-skill learners: concise explanations, plain language, and concrete examples.
- Keep content aligned to GH-300 learning goals without requiring explicit domain labels.
- Favor enterprise scenarios (security, governance, testing, privacy, and policy).
- Include hands-on practice steps that fit the lesson flow.
- Ground exam scope in the August 7, 2026 GH-300 objectives. Verify current product behavior with GitHub Docs and client behavior with VS Code documentation.
- Use account-available models and current client behavior instead of fixed model rosters or guessed UI labels.
- Maintain four numbered segments from
COURSE-PLAN.md, with breaks inside Segments 1-3 and the wrap-up inside Segment 4. - Use only the O'Reilly training identity and approved presentation template for course branding.
- End teaching outputs with clear Next Steps:
- Practice task
- Deeper study topic
- Real-world application
Content Quality Standards
- Explain why a practice matters, not only how to do it.
- Use realistic business context over toy examples.
- Prefer checklists, short sections, and scannable structure for live instruction.
- When mentioning commands, include only the minimal safe commands required for the learning goal.
- Ensure examples are technically correct and consistent with repository conventions.
- Preserve each core activity's no-account route, observable success check, and cleanup instructions.
- Repair incoming file and heading references whenever content moves, including references in presentation notes.
- Differentiate visual cues with text, shape, or position; never require color alone to understand a diagram or result.
Avoid
- Long theory blocks without actionable outcomes.
- Outdated feature descriptions or deprecated workflows.
- Certification trivia that is not tied to a practical skill.
- Overly complex labs that cannot fit a short class segment.
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.
- 1mo ago Changed · +10 lines · +226 tokens per session c35f5630f2e0
- 1mo ago First seen · 39 lines · 337 tokens per session scan A 7d6a68a49c5a
GH-300 Teaching Content Rules is an instructions file published in the GitHub repository timothywarner-org/copilot-cert-prep (97 stars, last pushed 1mo ago), licensed MIT. It adds 563 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 2026-08-30.
Other instructions, from other repositories
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).
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.