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ab100: Command for Claude Code

.github/prompts/ab100-lab.prompt.md

ab100-lab is a command for Claude Code, GitHub Copilot from timothywarner-org/ab100. It costs 17 tokens per session (292 once invoked), scanned A, original, MIT.

An interactive command for creating a short AB-100 practice lab. The lab includes instructions, validation to check the result, and cleanup steps.

In plain words
What is it for?
Use it to practise AB-100 skills in planning, design, deployment, agent authoring, application lifecycle management, or responsible-AI governance.
Why use it?
It provides hands-on exam preparation rather than questions alone, while validation shows whether the task was completed correctly and cleanup removes the practice setup.

Command for Claude CodeGitHub Copilot

Written for Claude Code and GitHub Copilot: argument-hint in frontmatter, but also a Copilot chat mode or prompt. Also seen: agent in frontmatter.

This is timothywarner-org/ab100's own configuration. It tells Claude Code and GitHub Copilot how to work on ab100 itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ab100 configures →

not rated 40repo 1mo ago A scan 17 tokens original MIT
View source ↗ timothywarner-org/ab100 techtrainertim.com
Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/timothywarner-org/ab100/main/.github/prompts/ab100-lab.prompt.md
Clone the repo
git clone --depth 1 https://github.com/timothywarner-org/ab100

Made for: Claude Code, GitHub Copilot.

Wrote 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.

agentmods badge for ab100-lab

README.md
[![agentmods](https://agentmods.dev/badge/commands/timothywarner-org/ab100/ab100-lab/github.svg)](https://agentmods.dev/commands/timothywarner-org/ab100/ab100-lab)
Your own site
<a href="https://agentmods.dev/commands/timothywarner-org/ab100/ab100-lab"><img src="https://agentmods.dev/badge/commands/timothywarner-org/ab100/ab100-lab/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.

agentmods 80×15 button for ab100-lab

Your own site · 80×15
<a href="https://agentmods.dev/commands/timothywarner-org/ab100/ab100-lab"><img src="https://agentmods.dev/badge/commands/timothywarner-org/ab100/ab100-lab.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 17 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 292 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00017 $0.00292
Opus 5.5 $0.00007 $0.00117
Sonnet 5.5 $0.00003 $0.00058
Haiku 4.5 $0.00002 $0.00029

Measured 1mo ago against content hash d4a6a087d12d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ab100-lab 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.

.github/prompts/ab100-lab.prompt.md · 29 lines

What it actually says

AB-100 Lab

Generate ONE short AB-100 lab (15-25 minutes), self-validating, with cleanup.

Use the ab100-lab-creator skill for structure, WWL style, output format, and delivery rules (full lab in a single message).

Inputs

  • Domain: ${input:domain:Plan | Design | Deploy (blank = agent picks)}
  • Objective: ${input:objective:specific objective (optional)}
  • Category: ${input:category:agent-authoring | design-walkthrough | alm | responsible-ai-governance}
  • Tool: ${input:toolPreference:Copilot Studio Portal | Copilot Studio YAML | Microsoft Foundry Portal | Power Platform CLI}
  • Timebox: ${input:timebox:minutes (default 20)}

Reminders

  • Default tools when blank: Copilot Studio YAML for authoring, Power Platform CLI for ALM, Microsoft Foundry Portal for Foundry-specific.
  • Randomize the WWL-approved fictional company; use the full name on every mention.
  • Cleanup is mandatory.
Changes

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.

  1. 1mo ago First seen · 29 lines · 17 tokens per session scan A d4a6a087d12d

Subscribe to this mod's changes

ab100-lab is a command published in the GitHub repository timothywarner-org/ab100 (40 stars, last pushed 1mo ago), licensed MIT. It adds 17 tokens to every session and 292 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 2026-09-20.

Learning and teachingab-100agentic-aicopilot-agentscopilot-studioexam-prepgithub-copilot
Related

ab100-lab compared with commands from other repositories

ab100-lab next to 6 commands from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
ab100-labtimothywarner-org/ab100Command401mo agoMITA17Claude Code, GitHub Copilot
ab900-practice-questiontimothywarner-org/ab900Command2910d agoMITA27Claude Code, GitHub Copilot
ab900-scenario-walkthroughtimothywarner-org/ab900Command2910d agoMITA45Claude Code, GitHub Copilot
ab900-study-plannertimothywarner-org/ab900Command2910d agoMITA25Claude Code, GitHub Copilot
default-ai-reviewrjmurillo/ai-agentsCommand49yesterdayMITA0GitHub Copilot
spec-trace-requirementsrjmurillo/ai-agentsCommand49yesterdayMITA0GitHub Copilot
merge-conflict-analysisrjmurillo/ai-agentsCommand49yesterdayMITA0GitHub Copilot