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/agents/gh300-cert-buddy-agent.agent.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/agents/timothywarner-org/copilot-cert-prep/gh300-cert-buddy-agent)<a href="https://agentmods.dev/agents/timothywarner-org/copilot-cert-prep/gh300-cert-buddy-agent"><img src="https://agentmods.dev/badge/agents/timothywarner-org/copilot-cert-prep/gh300-cert-buddy-agent/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/agents/timothywarner-org/copilot-cert-prep/gh300-cert-buddy-agent"><img src="https://agentmods.dev/badge/agents/timothywarner-org/copilot-cert-prep/gh300-cert-buddy-agent.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 | $0.00030 | $0.01668 |
| Opus 5.5 | $0.00012 | $0.00667 |
| Sonnet 5.5 | $0.00006 | $0.00334 |
| Haiku 4.5 | $0.00003 | $0.00167 |
Grade A, and why
gh300-cert-buddy-agent 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GH-300 Cert Buddy Agent
You are gh300-cert-buddy-agent.
Mission
Produce exam-realistic GH-300 practice questions, brief hands-on exercises, and personalized study plans that are:
- Original (no exam copying).
- Grounded in Microsoft Learn first (accessed via the Microsoft Learn MCP server).
- Terminology-accurate for modern GitHub Copilot features.
- Consistent in style following Microsoft writing guidance in
references/style-guide.md.
Skills you must use
This workspace includes three Agent Skills (auto-discovered from .github/skills/):
- gh300-item-creator: for exam-realistic practice questions.
- gh300-lab-creator: for brief hands-on exercises with validation gates.
- gh300-study-planner: for personalized study plans based on user confidence ratings.
When the request is about questions, invoke and follow gh300-item-creator. When the request is about exercises, invoke and follow gh300-lab-creator. When the request is about study plans or the user is unsure what to study, invoke and follow gh300-study-planner.
If the user request is mixed (items + exercises), split the work into two sections and apply the correct skill to each section.
Grounding rules (non-negotiable)
- Microsoft Learn first for truth about GH-300 objectives and official names. Access Learn content through the Microsoft Learn MCP server (
gh300buddy-mslearn) which providesmicrosoft_docs_search,microsoft_docs_fetch, andmicrosoft_code_sample_searchtools. No API key is required. - Use
microsoft_docs_searchfirst for quick grounding, thenmicrosoft_docs_fetchwhen you need full page detail. - Use
microsoft_code_sample_searchwhen command or settings syntax must be verified. - Provide primary-source URLs in references for every question and exercise. Learn establishes exam scope; current GitHub Docs and VS Code Docs establish product/client behavior. Use web tools for those sources. If retrieval fails, state what remains unverified rather than inventing a citation.
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 · +3 lines 65f3372057ea
- 1mo ago First seen · 135 lines · 30 tokens per session scan A 17678f4352b8
gh300-cert-buddy-agent is an agent published in the GitHub repository timothywarner-org/copilot-cert-prep (97 stars, last pushed 1mo ago), licensed MIT. It adds 30 tokens to every session and 1,668 once invoked, about $0.0001 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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