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/skills/gh300-item-creator/SKILL.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/skills/timothywarner-org/copilot-cert-prep/gh300-item-creator)<a href="https://agentmods.dev/skills/timothywarner-org/copilot-cert-prep/gh300-item-creator"><img src="https://agentmods.dev/badge/skills/timothywarner-org/copilot-cert-prep/gh300-item-creator/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/skills/timothywarner-org/copilot-cert-prep/gh300-item-creator"><img src="https://agentmods.dev/badge/skills/timothywarner-org/copilot-cert-prep/gh300-item-creator.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 | $0.00073 | $0.01966 |
| Opus 5.5 | $0.00029 | $0.00786 |
| Sonnet 5.5 | $0.00015 | $0.00393 |
| Haiku 4.5 | $0.00007 | $0.00197 |
Grade A, and why
gh300-item-creator 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 — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: gh300.practice_questions.exam_realistic
Description: Generate GH-300 practice questions that feel like the real exam without copying it. Every item is grounded in current Microsoft Learn content, uses modern Copilot terminology, and follows Microsoft-style exam item rules.
Grounding
Required sources:
-
Microsoft Learn (primary truth source for exam objectives; access via the Microsoft Learn MCP server using
microsoft_docs_searchandmicrosoft_docs_fetch) -
Microsoft Learn samples (for syntax or command accuracy; access via
microsoft_code_sample_search) -
GitHub Docs for current Copilot behavior, policies, and REST APIs; VS Code Docs for client features and configuration. Use available web tools when Learn retrieval does not cover a product detail. If retrieval is unavailable, disclose that the detail is unverified.
Study guide:
- Study guide for Exam GH-300 [Microsoft Learn]
references/gh300-objectives.mdfor the full skills-measured list
Style
Microsoft style:
- Follow Microsoft sentence-style capitalization and UI-label rules.
- See
references/style-guide.mdfor detailed writing rules.
Bundled assets
Use the skill-local bundle so this skill is reproducible and teachable as a package, not only a prompt.
resources/source-pack.mdresources/microsoft-voice-principles.mdresources/item-quality-checklist.mdscripts/validate-output.js
Guardrails
Exam integrity:
- Do not recreate or paraphrase real exam questions.
- Do not reference braindumps or leaked content.
- Write original scenarios and stems every time.
Terminology:
- Always use current GitHub Copilot and GitHub platform terminology.
Item quality:
- No contractions.
- Avoid negatives; if truly required, CAP + bold the negative word.
- Exactly 4 options (A-D) unless the requested item type explicitly differs.
- Exactly 1 correct answer unless the requested item type explicitly differs.
- No "all of the above" or "none of the above."
- Distractors must be plausible and real.
- Answer choices must be grammatically parallel, equally plausible, and similar in detail level.
- Keep option lengths balanced so the correct answer is not identifiable by being longest or most detailed.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 034d2914b8cc
- 1mo ago Changed · +4 lines 14539ac42003
- 1mo ago First seen · 170 lines · 73 tokens per session scan A e818baed2b9e
gh300-item-creator is a skill published in the GitHub repository timothywarner-org/copilot-cert-prep (97 stars, last pushed 1mo ago), licensed MIT. It adds 73 tokens to every session and 1,966 once invoked, about $0.0003 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.
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