agent-customization

A workflow for creating and troubleshooting VS Code agent customization files, such as project instructions, prompts, custom agents, hooks, and skills.

In plain words
What is it for?
Use it to create, update, review, fix, or debug files such as AGENTS.md, copilot-instructions.md, .instructions.md, .prompt.md, .agent.md, and SKILL.md.
Why use it?
It helps identify which customization type fits a task and why a configuration may be ignored or fail to run.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/microsoft/vscode-copilot-chat/agent-customization
Any agent
npx skills add microsoft/vscode-copilot-chat --skill agent-customization
Clone the repo
git clone --depth 1 https://github.com/microsoft/vscode-copilot-chat

Made for: Claude Code, Codex.

Per session 193 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,201 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00193 $0.01201
Opus 5 $0.00097 $0.00600
Sonnet 5 $0.00039 $0.00240
Haiku 4.5 $0.00019 $0.00120

Measured 2d ago against content hash 01a307c8386c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agent-customization 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 2d 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.

assets/prompts/skills/agent-customization/SKILL.md · 83 lines

How it starts

The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Customization

Decision Flow

Primitive When to Use
Workspace Instructions Always-on, applies everywhere in the project
File Instructions Explicit via applyTo patterns, or on-demand via description
MCP Integrates external systems, APIs, or data
Hooks Deterministic shell commands at agent lifecycle points (block tools, auto-format, inject context)
Custom Agents Subagents for context isolation, or multi-stage workflows with tool restrictions
Prompts Single focused task with parameterized inputs
Skills On-demand workflow with bundled assets (scripts/templates)

Quick Reference

Consult the reference docs for templates, domain examples, advanced frontmatter options, asset organization, anti-patterns, and creation checklists. If the references are not enough, load the official documentation links for each primitive.

Type File Location Reference
Workspace Instructions copilot-instructions.md, AGENTS.md .github/ or root Link
File Instructions *.instructions.md .github/instructions/ Link
Prompts *.prompt.md .github/prompts/ Link
Hooks *.json .github/hooks/ Link
Custom Agents *.agent.md .github/agents/ Link
Skills SKILL.md .github/skills/<name>/, .agents/skills/<name>/, .claude/skills/<name>/ Link

User-level: {{VSCODE_USER_PROMPTS_FOLDER}}/ (*.prompt.md, *.instructions.md, *.agent.md; not skills) Customizations roam with user's settings sync

Creation Process

If you need to explore or validate patterns in the codebase, use a read-only subagent. If the ask-questions tool is available, use it to interview the user and clarify requirements.

Follow these steps when creating any customization file.

Read the full file on GitHub · 83 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2d ago First seen · 83 lines · 193 tokens per session scan A 01a307c8386c

Subscribe to this mod's changes

agent-customization is a skill published in the GitHub repository microsoft/vscode-copilot-chat (9,977 stars, last pushed 3mo ago), licensed MIT. It adds 193 tokens to every session and 1,201 once invoked, about $0.0010 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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