agentmods.dev

init-deep: Instructions file for GitHub Copilot

.github/copilot-instructions.md

init-deep copilot-instructions.md is an instructions file for GitHub Copilot from mzored/init-deep. It costs 426 tokens per session, scanned A, original, MIT.

A set of project instructions for init-deep, a Python tool that turns one documentation source into formats for different AI coding assistants.

In plain words
What is it for?
Use it when changing init-deep, rebuilding its assistant-specific documentation, checking generated files are synchronized, or running its tests and health checks.
Why use it?
It tells contributors where the source files live, how the two-part compiler works, and which generated files must not be edited by hand.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file. Also seen: mentions AGENTS.md.

This is mzored/init-deep's own configuration. It tells GitHub Copilot how to work on init-deep itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything init-deep configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python3 scripts/build_init_deep.py # Regenerate adapters.

not rated 6repo 4mo ago A scan 426 tokens original MIT
View source ↗ mzored/init-deep
Reuse

Borrowing it

Nothing to install: this file belongs to mzored/init-deep. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/mzored/init-deep/main/.github/copilot-instructions.md
Clone the repo
git clone --depth 1 https://github.com/mzored/init-deep

Made for: GitHub Copilot.

Wrote 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.

agentmods badge for init-deep copilot-instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/mzored/init-deep/copilot-instructions/github.svg)](https://agentmods.dev/instructions/mzored/init-deep/copilot-instructions)
Your own site
<a href="https://agentmods.dev/instructions/mzored/init-deep/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/mzored/init-deep/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.

agentmods 80×15 button for init-deep copilot-instructions.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/mzored/init-deep/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/mzored/init-deep/copilot-instructions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 426 This file is loaded in full into every session.
When invoked 426 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00426 $0.00426
Opus 5.5 $0.00170 $0.00170
Sonnet 5.5 $0.00085 $0.00085
Haiku 4.5 $0.00043 $0.00043

Measured 1mo ago against content hash 6798f524beb2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

init-deep 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 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.

.github/copilot-instructions.md · 41 lines

What it actually says

init-deep

Multi-platform AI documentation compiler. Python 3.11, no external deps.

Commands

python3 scripts/build_init_deep.py       # Regenerate adapters
python3 scripts/check_init_deep.py       # Validate sync
python3 -m src.init_deep.cli check       # Validate registry-generated adapters
python3 -m src.init_deep.cli lint        # Validate source schema
python3 -m src.init_deep.cli doctor      # Check workspace health

python3 -m unittest discover -s tests -v # Run tests

Architecture

Two-layer design: a typed compiler pipeline and a legacy compatibility layer.

New pipeline: source/commands/init-deep/spec.toml + body.md are parsed into CommandSpec, lowered to CommandIR, and rendered by 9 built-in target plugins in src/init_deep/targets/.

Legacy: source/init-deep/canonical.md is the original single-file source. tools/init_deep/renderers.py generates platform-specific output. Legacy scripts delegate to the new pipeline.

Conventions

  • Edit spec.toml + body.md; keep source/init-deep/canonical.md byte-identical for legacy compatibility
  • Never hand-edit generated skills/ or adapters/; rebuild them
  • CI enforces sync: build then git diff --exit-code
  • Pure stdlib Python, no external dependencies
  • Each platform is a TargetPlugin class with plan(), render(), validate() methods
  • Tests read actual files, no mocks (273+ tests)

Pitfalls

  • Gemini adapter is TOML, not Markdown
  • Copilot instructions and prompts are budget-sensitive; do not assume the prompt contains the full workflow
  • managed_paths() glob list must be updated when adding adapters
  • --skip-* flags are CLI-only, not in spec.toml
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. 1mo ago First seen · 41 lines · 426 tokens per session scan A 6798f524beb2

Subscribe to this mod's changes

init-deep copilot-instructions.md is an instructions file published in the GitHub repository mzored/init-deep (6 stars, last pushed 4mo ago), licensed MIT. It adds 426 tokens to every session, about $0.0017 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 2026-08-31.

Claude Codeclaude-code-plugincode-documentationcursor-idedocumentation-generator
Related

Other instructions, from other repositories

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 9,715 tokens

next.js AGENTS.md

AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.

vercel/next.js · 7,786 tokens

vscode oss-third-party-notices.instructions.md

Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).

microsoft/vscode · 5,262 tokens

langchain AGENTS.md

AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.

langchain-ai/langchain · 4,680 tokens

vscode copilot-instructions.md

Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).

microsoft/vscode · 2,731 tokens

deno copilot-instructions.md

Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.

denoland/deno · 3,077 tokens