custom_github_copilot_agent_builder copilot-instructions.md

Repository-wide instructions for GitHub Copilot, an AI coding assistant. They define code-quality, documentation, file-organization, and custom-agent conventions for the project.

In plain words
What is it for?
Use them when writing code or Markdown, updating documentation, creating custom agents, or deciding where specifications, context, and project notes belong.
Why use it?
They give Copilot consistent project context so its suggestions follow the repository's naming, documentation, and file-placement rules.

Instructions file for GitHub Copilot

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 instructions/dhar174/custom_github_copilot_agent_builder/copilot-instructions
Clone the repo
git clone --depth 1 https://github.com/dhar174/custom_github_copilot_agent_builder

Made for: GitHub Copilot.

Per session 586 This file is loaded in full into every session.
When invoked 586 The same file — it is already loaded in full.
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 $0.00586 $0.00586
Opus 5 $0.00293 $0.00293
Sonnet 5 $0.00117 $0.00117
Haiku 4.5 $0.00059 $0.00059

Measured 2d ago against content hash f1fde7f65236, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

custom_github_copilot_agent_builder copilot-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 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.

.github/copilot-instructions.md · 89 lines

How it starts

The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GitHub Copilot Instructions

Repository-Wide Instructions

This file contains repository-wide instructions for GitHub Copilot to improve code suggestions and agent behavior across the entire project.

Code Style and Conventions

General Guidelines

  • Write clear, self-documenting code
  • Follow language-specific best practices
  • Prioritize readability and maintainability
  • Use meaningful variable and function names

Documentation

  • Use Markdown for all documentation files
  • Keep documentation up-to-date with code changes
  • Include examples where appropriate
  • Follow the established documentation structure

Custom Agents

  • Define custom agents in .agent.md files within .github/agents/
  • Include clear purpose and capabilities for each agent
  • Document agent usage patterns
  • Test agents before committing

File Organization

Documentation Structure

  • docs/specs/: Technical specifications
  • docs/context/: Context-specific documentation
  • docs/memory/: Persistent memory and learnings

GitHub Copilot Configuration

  • .github/copilot-instructions.md: This file (repo-wide instructions)
  • .github/instructions/: Path-specific instructions
  • .github/agents/: Custom agent definitions
  • .github/prompts/: Reusable prompt templates

Custom Agent Guidelines

When creating or modifying custom agents:

  1. Purpose: Clearly define the agent's purpose and scope
  2. Capabilities: List specific capabilities and tools available
  3. Examples: Provide usage examples
  4. Limitations: Document known limitations
  5. Testing: Include test scenarios

Prompt Guidelines

When creating prompt files (.prompt.md):

  1. Structure: Use clear section headers
  2. Parameters: Document any variables or parameters
  3. Context: Include necessary context
  4. Examples: Show example usage
  5. Expected Output: Describe expected results

Memory and Context Guidelines

Context Files (.context.md)

  • Keep context focused and relevant
  • Update regularly
  • Remove outdated information
  • Link to related files

Read the full file on GitHub · 89 lines

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 · 89 lines · 586 tokens per session scan A f1fde7f65236

Subscribe to this mod's changes

custom_github_copilot_agent_builder copilot-instructions.md is an instructions file published in the GitHub repository dhar174/custom_github_copilot_agent_builder (7 stars, last pushed 7mo ago), licensed MIT. It adds 586 tokens to every session, about $0.0029 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 2026-08-31.

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