Borrowing it
Nothing to install: this file belongs to timothywarner-org/ab100. 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/ab100/main/.github/skills/ab100-lab-creator/SKILL.mdgit 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/skills/timothywarner-org/ab100/ab100-lab-creator)<a href="https://agentmods.dev/skills/timothywarner-org/ab100/ab100-lab-creator"><img src="https://agentmods.dev/badge/skills/timothywarner-org/ab100/ab100-lab-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/ab100/ab100-lab-creator"><img src="https://agentmods.dev/badge/skills/timothywarner-org/ab100/ab100-lab-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 | $0.00090 | $0.03054 |
| Opus 5 | $0.00045 | $0.01527 |
| Sonnet 5 | $0.00018 | $0.00611 |
| Haiku 4.5 | $0.00009 | $0.00305 |
Grade A, and why
ab100-lab-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 9d 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 — 257 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: ab100.practice_labs.micro.validated
Description: Create short AB-100 practice labs (15-25 minutes) that are executable and self-validating. Every lab includes prerequisites, exact tasks, validation steps, expected outputs, and cleanup.
Style precedence
Follow the Microsoft Worldwide Learning Exam Writing Style Guide (WWL) for any text that mirrors exam phrasing (titles, goal statements, named resources, company references). Follow the Microsoft Writing Style Guide (MWSG) for the lab prose itself: warm, scannable, present-tense, sentence-style capitalization. Two MWSG conventions overridden by WWL for our labs: no contractions and all uppercase for key names (TAB, ENTER, CTRL+ALT+DELETE).
Lab categories
AB-100 labs span four practical categories:
- Agent authoring -- Copilot Studio topic and agent flow creation, Foundry agent manifests, declarative agents in Microsoft 365 Copilot.
- Design walkthrough -- structured design review against the Power Platform Well-Architected framework, pattern selection (task vs autonomous vs prompt/response), build/buy/extend decision matrices.
- ALM -- Copilot Studio solution export and import, Power Platform Build Tools pipelines, Microsoft Foundry environment promotion, Dynamics 365 AI feature configuration migration.
- Responsible AI and governance -- DLP policies, environment strategy, agent security configuration, audit trail setup, responsible AI review checklist.
Default authoring tools: Copilot Studio (UI or YAML), Microsoft Foundry portal, Power Platform admin center, Power Platform CLI. Avoid labs that require production-only Dynamics 365 modules unless the user confirms access.
Grounding
Required sources:
- Microsoft Learn (truth source for architecture and correct configuration). Access via the Microsoft Learn MCP server using
microsoft_docs_searchandmicrosoft_docs_fetch. - Microsoft Learn code samples (for Copilot Studio YAML, Power Platform CLI, Microsoft Foundry SDK, Bicep accuracy). Access via
microsoft_code_sample_search. - Canonical AB-100 skills outline:
docs/ab100-exam-objectives.md.
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.
- 9d ago First seen · 257 lines · 90 tokens per session scan A 03fe3f651a0c
ab100-lab-creator is a skill published in the GitHub repository timothywarner-org/ab100 (37 stars, last pushed 2mo ago), licensed MIT. It adds 90 tokens to every session and 3,054 once invoked, about $0.0005 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.
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