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/commands/javiarmesto/aldc-al-development-collection/al-context-create)<a href="https://agentmods.dev/commands/javiarmesto/aldc-al-development-collection/al-context-create"><img src="https://agentmods.dev/badge/commands/javiarmesto/aldc-al-development-collection/al-context-create/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/commands/javiarmesto/aldc-al-development-collection/al-context-create"><img src="https://agentmods.dev/badge/commands/javiarmesto/aldc-al-development-collection/al-context-create.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 | $0.00036 | $0.02508 |
| Opus 5 | $0.00018 | $0.01254 |
| Sonnet 5 | $0.00007 | $0.00502 |
| Haiku 4.5 | $0.00004 | $0.00251 |
Grade A, and why
al-context-create 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 — 374 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AL Context File Generator
Generate a comprehensive context.md file that serves as the master context document for AI assistants and developers working on this AL/Business Central project.
Purpose
The context.md file provides:
- Project Overview: What this extension does and its business purpose
- Architecture Snapshot: How the code is organized and key patterns used
- Critical Decisions: Important architectural choices and their rationale
- Integration Points: Dependencies, events, APIs exposed/consumed
- Quick Navigation: Where to find specific functionality
This enables AI assistants to load complete project context quickly and make informed suggestions.
Execution Steps
1. Analyze Project Structure
Load project metadata:
# Get app.json configuration
Read app.json
# Understand dependencies (app.json `dependencies` + al-symbols-mcp al_packages)
al-symbols-mcp: al_packages
# Map directory structure
Glob src/**
Identify key patterns:
# Find all table extensions
Grep "tableextension" --glob *.al
# Find all page extensions
Grep "pageextension" --glob *.al
# Find event subscribers
Grep "EventSubscriber" --glob *.al
# Find published integration events
Grep "IntegrationEvent" --glob *.al
# Find API pages
Grep "APIPublisher|APIVersion" --glob *.al
2. Analyze Business Domain
Understand what the extension does:
- Read README.md if exists
- Analyze table/page names to understand business entities
- Check codeunit names for business processes
- Review comments and XML docs for business rules
Key questions to answer:
- What business problem does this solve?
- Who are the end users?
- What standard BC functionality does it extend?
- What industry/vertical is this for (if applicable)?
3. Document Architecture Patterns
Identify and document:
- Organization Strategy: Feature-based vs object-type folders?
- Naming Conventions: Prefixes, suffixes, patterns used
- Extension Patterns: How are standard objects extended?
- Event Usage: Subscriber patterns, custom events published
- Data Model: Key tables and their relationships
- Processing Logic: Main codeunits and their responsibilities
- UI Structure: Page organization and user flows
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 · 374 lines · 36 tokens per session scan A 63b6ad8a46cf
al-context-create is a command published in the GitHub repository javiarmesto/ALDC-AL-Development-Collection (103 stars, last pushed 2d ago), licensed MIT. It adds 36 tokens to every session and 2,508 once invoked, about $0.0002 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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