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/timothywarner-org/ab100/copilot-instructionsgit clone --depth 1 https://github.com/timothywarner-org/ab100Wrote 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/ab100/copilot-instructions)<a href="https://agentmods.dev/instructions/timothywarner-org/ab100/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/timothywarner-org/ab100/copilot-instructions.svg" alt="Measured on agentmods" 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 | $0.01548 | $0.01548 |
| Opus 5 | $0.00774 | $0.00774 |
| Sonnet 5 | $0.00310 | $0.00310 |
| Haiku 4.5 | $0.00155 | $0.00155 |
Grade A, and why
ab100 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 3d 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Copilot instructions
Repository purpose
- This repo defines GitHub Copilot agent behavior and AB-100 skills. There is no app code; the primary artifacts are agent definitions and skill specs.
- This repo also serves as the companion material for Tim Warner's O'Reilly Live Learning course Agentic AI Business Solutions Architect. The cert-buddy agent and the course scaffolding share this workspace.
Key locations
- Agent definition:
.github/agents/ab100-cert-buddy-agent.agent.md - Skills:
.github/skills/*/SKILL.md - Prompts:
.github/prompts/ab100-quiz.prompt.md,.github/prompts/ab100-lab.prompt.md,.github/prompts/ab100-plan.prompt.md - MCP servers (workspace only):
.vscode/mcp.json - AB-100 objectives (canonical, verbatim Microsoft Learn sync):
docs/ab100-exam-objectives.md - Style and naming rules: embedded directly in the agent and skill files (Microsoft Worldwide Learning Exam Writing Style Guide for items, Microsoft Writing Style Guide for prose).
Skill and agent conventions
- Each skill file is a single YAML frontmatter block followed by Markdown.
- The skill name used by agents must match the YAML frontmatter name in the skill file, not the folder name.
- Skills are auto-discovered from
.github/skills/folders. The agent references them by name in its Markdown body; there is noskills:field in agent YAML frontmatter. - Agent files use YAML frontmatter with tools lists. Keep tool IDs scoped to MCP servers defined in
.vscode/mcp.json. - Prompt files (in
.github/prompts/) reference agents by thenamefield in the agent's YAML frontmatter via theagent:key. The current value isab100-cert-buddy-agent. If the agent is renamed, update all prompt files that reference it. - Current skills:
ab100-item-creator(exam item generation)ab100-lab-creator(design/ALM/governance lab generation)ab100-study-planner(personalized study plan generation)
MCP server IDs
ab100buddy-mslearn-- Microsoft Learn MCP (free, no API key; providesmicrosoft_docs_search,microsoft_docs_fetch,microsoft_code_sample_search)
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.
- 3d ago First seen · 93 lines · 1,548 tokens per session scan A 7d6b536b4be5
ab100 copilot-instructions.md is an instructions file published in the GitHub repository timothywarner-org/ab100 (37 stars, last pushed 1mo ago), licensed MIT. It adds 1,548 tokens to every session, about $0.0077 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 2026-08-30.
Other instructions, from other repositories
apex-accelerator azure-artifacts.instructions.md
Template compliance rules for artifact generation.
apex-accelerator copilot-instructions.md
Copilot instructions for jonathan-vella/apex-accelerator, covering apex - copilot instructions, azure defaults (canonical), default regions, required tags (azure policy enforced) and security baseline + avm mandate.
apex-accelerator agent-skills.instructions.md
Guidelines for creating high-quality Agent Skills for GitHub Copilot.
apex-accelerator context-optimization.instructions.md
Context window optimization rules for agent definitions, skills, and instruction files.
apex-accelerator no-interactive-shell.instructions.md
Prevents interactive shell prompts and long-output terminal replays from being injected into chat. Forbids -i flags on mv/rm/cp, read -p, and confirm prompts (incl. inside bash -c '...'). Pipe long output to files. Scoped to chat-context-loaded files; skill references/ and templates/ are exempt because they hold…
apex-accelerator docs.instructions.md
Standards for user-facing documentation in the site/src/content/docs/ folder.