Borrowing it
Nothing to install: this file belongs to javiarmesto/ALDC-AL-Development-Collection. 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/javiarmesto/ALDC-AL-Development-Collection/main/.github/copilot-instructions.mdgit 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/instructions/javiarmesto/aldc-al-development-collection/copilot-instructions)<a href="https://agentmods.dev/instructions/javiarmesto/aldc-al-development-collection/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/javiarmesto/aldc-al-development-collection/copilot-instructions/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/instructions/javiarmesto/aldc-al-development-collection/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/javiarmesto/aldc-al-development-collection/copilot-instructions.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 | $0.02986 | $0.02986 |
| Opus 5 | $0.01493 | $0.01493 |
| Sonnet 5 | $0.00597 | $0.00597 |
| Haiku 4.5 | $0.00299 | $0.00299 |
Grade C, and why
ALDC-AL-Development-Collection copilot-instructions.md scanned grade C with 1 finding 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.
Hidden instructionshighPrompt injection
Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.
<!-- Workspace-specific custom instructions for Copilot. Reference: https://code.visualstudio.com/docs/copilot/copilot-customization#_use-a-githubcopilotinstructionsmd-file --> How it starts
The opening of the file, as written. The whole thing — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitHub Copilot Instructions for AL Development
Overview
This workspace contains AL (Application Language) code for Microsoft Dynamics 365 Business Central. It uses the ALDC Core v1.1 skills-based architecture: 4 agents + 11 skills + 6 workflows + 7 instructions.
Core Principles
These principles apply to ALL work in this repository:
- Extension-only development — Never modify base application objects. Use tableextensions, pageextensions, event subscribers.
- Human-in-the-Loop (HITL) — All critical decisions require user confirmation before proceeding.
- TDD / spec-driven — Features follow the flow:
spec.create → architecture → test-plan → implementation → review. - Least privilege — Generate only the minimum permissions required. Use XLIFF for all user-facing strings.
- Output language: English — All persisted artifacts under
.github/plans/**(architecture.md, spec.md, plan.md, phase-N-complete.md, plan-complete.md, test-plan.md, delivery.md, review reports, Dredd audit reports, BCQuality findings JSON) MUST be written in English regardless of the chat conversation language. Inline chat responses MAY follow the user's language; persisted artifacts stay in English.
Agent Routing
Choose the right agent for your task:
| Intent | Agent | What it does |
|---|---|---|
| Designing, analyzing architecture, strategic decisions? | @AL Architecture & Design Specialist |
Solution design, data modeling, integration strategy |
| Implementing, coding, debugging, fixing? | @AL Implementation Specialist |
Tactical implementation with full AL MCP tools |
| Building a feature with TDD orchestration (plan → implement → review → commit)? | @AL Development Conductor |
Orchestrates planning, implementation, and review subagents |
| Estimating a project, sizing, proposals? | @AL Pre-Sales & Project Estimation Specialist |
PERT estimation, SWOT analysis, cost breakdown |
| Auditing code independently against BCQuality (changes vs main, or all)? | @Dredd |
Independent read-only auditor; advisory verdict with citations |
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 · 191 lines · 2,986 tokens per session scan C 3631b9c980d7
ALDC-AL-Development-Collection copilot-instructions.md is an instructions file published in the GitHub repository javiarmesto/ALDC-AL-Development-Collection (103 stars, last pushed 2d ago), licensed MIT. It adds 2,986 tokens to every session, about $0.0149 per session on Opus 5. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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