Visual Studio Code is a code editor that supports editing, navigating, understanding, debugging, and extending software projects. Developers use it for the edit-build-debug cycle, and the catalogue add-ons provide skills, instructions, and agents for working within the editor.
Borrowing it
Nothing to install: this file belongs to microsoft/vscode. 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/microsoft/vscode/main/.github/instructions/ai-customization.instructions.mdgit clone --depth 1 https://github.com/microsoft/vscodeWrote 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/microsoft/vscode/ai-customization)<a href="https://agentmods.dev/instructions/microsoft/vscode/ai-customization"><img src="https://agentmods.dev/badge/instructions/microsoft/vscode/ai-customization/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/microsoft/vscode/ai-customization"><img src="https://agentmods.dev/badge/instructions/microsoft/vscode/ai-customization.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 | $0.01779 | $0.01779 |
| Opus 5.5 | $0.00712 | $0.00712 |
| Sonnet 5.5 | $0.00356 | $0.00356 |
| Haiku 4.5 | $0.00178 | $0.00178 |
Grade A, and why
vscode ai-customization.instructions.md 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- nyrve ai-customization.instructions.md — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 225 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Customization View
The AI Customization view provides a unified view for discovering and managing AI customization 'artifacts' (customizations that augment LLM prompts or behavior).
Examples of these include: Custom Agents, Skills, Instructions, and Prompts. It surfaces prompt files that are typically hidden in .github/ folders, user data directories, workspace settings, or exposed via extensions.
Overview
The view displays a hierarchical tree structure:
AI Customization (View Container)
└── AI Customization (Tree View)
├── Custom Agents (.agent.md files)
│ ├── Workspace
│ │ └── agent files...
│ ├── User
│ │ └── agent files...
│ └── Extensions
│ └── agent files...
├── Skills (SKILL.md files)
│ └── (same storage structure)
├── Instructions (.instructions.md files)
│ └── (same storage structure)
└── Prompts (.prompt.md files)
└── (same storage structure)
Key Features:
- 3-level tree hierarchy: Category → Storage Group → Files
- Auto-expands category nodes on initial load and refresh to show storage groups
- Symbol-based root element for type safety
- Double-click to open files in editor
- Context menu support with Open and Run Prompt actions
- Toolbar actions: New dropdown, Refresh, Collapse All
- Skill names parsed from frontmatter with fallback to folder name
- Responsive to IPromptsService change events
File Structure
All files are located in src/vs/workbench/contrib/chat/browser/aiCustomization/:
aiCustomization/
├── aiCustomization.ts # Constants, IDs, and MenuIds
├── aiCustomization.contribution.ts # View registration and actions
├── aiCustomizationViews.ts # Tree view pane implementation
├── aiCustomizationIcons.ts # Icon registrations
└── media/
└── aiCustomization.css # Styling
Key Constants (aiCustomization.ts)
AI_CUSTOMIZATION_VIEWLET_ID: View container ID for sidebarAI_CUSTOMIZATION_VIEW_ID: Unified tree view IDAI_CUSTOMIZATION_STORAGE_ID: State persistence keyAICustomizationItemMenuId: Context menu IDAICustomizationNewMenuId: New item submenu ID
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 · 225 lines · 1,779 tokens per session scan A 8f953b736981
vscode ai-customization.instructions.md is an instructions file published in the GitHub repository microsoft/vscode (193,657 stars, last pushed today), licensed MIT. It adds 1,779 tokens to every session, about $0.0071 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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