unraid-management-agent: Instructions file for GitHub Copilot

.github/instructions/yaml-markdown.instructions.md

unraid-management-agent yaml-markdown.instructions.md is an instructions file for GitHub Copilot from ruaan-deysel/unraid-management-agent. It costs 207 tokens per session, scanned A, original, MIT.

Formatting and editing rules for YAML configuration files and Markdown documents. YAML is a text format often used for configuration, while Markdown is used for readable project documentation.

In plain words
What is it for?
Use them when editing YAML, Markdown, GitHub Actions workflows, or CHANGELOG.md entries.
Why use it?
They make configuration easier to read and reduce formatting errors. They also keep the changelog consistent so project changes are recorded clearly.

Instructions file for GitHub Copilot

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

This is ruaan-deysel/unraid-management-agent's own configuration. It tells GitHub Copilot how to work on unraid-management-agent 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 unraid-management-agent configures →

Reuse

Borrowing it

Nothing to install: this file belongs to ruaan-deysel/unraid-management-agent. 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/ruaan-deysel/unraid-management-agent/main/.github/instructions/yaml-markdown.instructions.md
Clone the repo
git clone --depth 1 https://github.com/ruaan-deysel/unraid-management-agent

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 unraid-management-agent yaml-markdown.instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/ruaan-deysel/unraid-management-agent/yaml-markdown/github.svg)](https://agentmods.dev/instructions/ruaan-deysel/unraid-management-agent/yaml-markdown)
Your own site
<a href="https://agentmods.dev/instructions/ruaan-deysel/unraid-management-agent/yaml-markdown"><img src="https://agentmods.dev/badge/instructions/ruaan-deysel/unraid-management-agent/yaml-markdown/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 unraid-management-agent yaml-markdown.instructions.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/ruaan-deysel/unraid-management-agent/yaml-markdown"><img src="https://agentmods.dev/badge/instructions/ruaan-deysel/unraid-management-agent/yaml-markdown.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 207 This file is loaded in full into every session.
When invoked 207 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 $0.00207 $0.00207
Opus 5 $0.00103 $0.00103
Sonnet 5 $0.00041 $0.00041
Haiku 4.5 $0.00021 $0.00021

Measured 12d ago against content hash 19758fcc0cb3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

unraid-management-agent yaml-markdown.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 12d 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/instructions/yaml-markdown.instructions.md · 45 lines

What it actually says

YAML and Markdown Instructions

Reference: AGENTS.md for full project context.

YAML

  • Use 2-space indentation
  • Quote strings that contain special characters
  • Use --- document separators in multi-document files
  • Keep GitHub Actions workflows readable with comments

Markdown

  • Follow markdownlint rules (see .markdownlint.json)
  • Use ATX-style headers (#, ##, etc.)
  • One blank line before and after headings
  • Use fenced code blocks with language identifiers
  • Keep lines under 120 characters where practical

CHANGELOG.md

Must be updated with every change. Format:

## [YYYY.MM.DD]

### Added

- New feature description (#issue)

### Fixed

- Bug fix description (#issue)

### Changed

- Change description (#issue)

Group changes by: Added, Fixed, Changed, Security, Performance, Removed.

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. 12d ago First seen · 45 lines · 207 tokens per session scan A 19758fcc0cb3

Subscribe to this mod's changes

unraid-management-agent yaml-markdown.instructions.md is an instructions file published in the GitHub repository ruaan-deysel/unraid-management-agent (54 stars, last pushed 3d ago), licensed MIT. It adds 207 tokens to every session, 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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