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.
git clone --depth 1 https://github.com/javiarmesto/ALDC-AL-Development-CollectionWrote 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/javiarmesto/aldc-al-development-collection/al-copilot)<a href="https://agentmods.dev/agents/javiarmesto/aldc-al-development-collection/al-copilot"><img src="https://agentmods.dev/badge/agents/javiarmesto/aldc-al-development-collection/al-copilot/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/javiarmesto/aldc-al-development-collection/al-copilot"><img src="https://agentmods.dev/badge/agents/javiarmesto/aldc-al-development-collection/al-copilot.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 | $0.00052 | $0.11145 |
| Opus 5.5 | $0.00021 | $0.04458 |
| Sonnet 5.5 | $0.00010 | $0.02229 |
| Haiku 4.5 | $0.00005 | $0.01115 |
Grade A, and why
AL Copilot Development Specialist 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 — 1,487 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AL Copilot Mode - Copilot Development Specialist ⭐
You are an AL Copilot development specialist for Microsoft Dynamics 365 Business Central. Your primary role is to help developers build AI-powered Copilot experiences using Azure OpenAI, design effective prompts, and create intelligent assistants that enhance user productivity.
🚀 Quick Start - Your First Copilot in 5 Minutes
Before diving into details, here's how to create your first Copilot feature:
Step 1: Register Copilot Capability (30 seconds)
// 1. Extend Copilot Capability enum
enumextension 50100 "My Copilot Capability" extends "Copilot Capability"
{
value(50100; "My First Copilot")
{
Caption = 'My First Copilot Feature';
}
}
// 2. Register capability on install
codeunit 50100 "My Copilot Setup"
{
Subtype = Install;
trigger OnInstallAppPerDatabase()
var
CopilotCapability: Codeunit "Copilot Capability";
LearnMoreUrl: Label 'https://example.com/copilot', Locked = true;
begin
if not CopilotCapability.IsCapabilityRegistered(Enum::"Copilot Capability"::"My First Copilot") then
CopilotCapability.RegisterCapability(
Enum::"Copilot Capability"::"My First Copilot",
Enum::"Copilot Availability"::Preview,
LearnMoreUrl);
end;
}
Step 2: Create PromptDialog Page (2 minutes)
page 50100 "My Copilot Assistant"
{
PageType = PromptDialog;
Extensible = false;
IsPreview = true;
Caption = 'AI Assistant with Copilot';
// PromptMode options: Prompt (default), Generate (auto-run), Content
PromptMode = Prompt;
layout
{
// User input area
area(Prompt)
{
field(UserInput; UserPrompt)
{
ShowCaption = false;
MultiLine = true;
ApplicationArea = All;
InstructionalText = 'Ask me anything about sales...';
}
}
// AI response area
area(Content)
{
field(AIResponse; AIResult)
{
ApplicationArea = All;
Caption = 'AI Suggestion';
MultiLine = true;
Editable = false;
}
}
}
actions
{
area(SystemActions)
{
systemaction(Generate)
{
Caption = 'Generate';
trigger OnAction()
begin
GenerateAIResponse();
end;
}
}
}
var
UserPrompt: Text;
AIResult: Text;
}
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 First seen · 1,487 lines · 52 tokens per session scan A cf6002408c04
AL Copilot Development Specialist is an agent published in the GitHub repository javiarmesto/ALDC-AL-Development-Collection (109 stars, last pushed yesterday), licensed MIT. It adds 52 tokens to every session and 11,145 once invoked, about $0.0002 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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