ai-repository-security-baseline: Instructions file for GitHub Copilot

.github/copilot-instructions.md

ai-repository-security-baseline copilot-instructions.md is an instructions file for GitHub Copilot from the-missing-pink/ai-repository-security-baseline. It costs 487 tokens per session, scanned A, original, Apache-2.0.

A set of GitHub Copilot instructions for a repository whose central agent guide defines security, privacy, code-quality, and accessibility rules. It tells Copilot to read and follow that shared guide.

In plain words
What is it for?
Use it to guide Copilot while writing or reviewing repository code, especially code that handles inputs, databases, web output, secrets, logs, or personal information.
Why use it?
It steers code suggestions away from common risks such as exposed secrets, unsafe SQL, dynamic code execution, disabled TLS checks, XSS, and unprotected personal data.

Instructions file for GitHub Copilot

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

This is the-missing-pink/ai-repository-security-baseline's own configuration. It tells GitHub Copilot how to work on ai-repository-security-baseline 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 ai-repository-security-baseline configures →

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is **Read and follow all rules in [AGENTS.md](../AGENTS.md) — it is the central source of truth for this repository.**.

Reuse

Borrowing it

Nothing to install: this file belongs to the-missing-pink/ai-repository-security-baseline. 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/the-missing-pink/ai-repository-security-baseline/main/.github/copilot-instructions.md
Clone the repo
git clone --depth 1 https://github.com/the-missing-pink/ai-repository-security-baseline

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 ai-repository-security-baseline copilot-instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/the-missing-pink/ai-repository-security-baseline/copilot-instructions.svg)](https://agentmods.dev/instructions/the-missing-pink/ai-repository-security-baseline/copilot-instructions)
Your own site
<a href="https://agentmods.dev/instructions/the-missing-pink/ai-repository-security-baseline/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/the-missing-pink/ai-repository-security-baseline/copilot-instructions.svg" alt="Measured on agentmods" height="20"></a>
Per session 487 This file is loaded in full into every session.
When invoked 487 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 $0.00487 $0.00487
Opus 5 $0.00244 $0.00244
Sonnet 5 $0.00097 $0.00097
Haiku 4.5 $0.00049 $0.00049

Measured 8d ago against content hash 5fb55ecefc34, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

ai-repository-security-baseline 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 8d 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 · 61 lines

How it starts

The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GitHub Copilot Instructions

Read and follow all rules in AGENTS.md — it is the central source of truth for this repository.

Security Rules

  • NEVER suggest code that hardcodes secrets, API keys, tokens, or passwords.
  • NEVER suggest reading from or writing to .env files (.env.example is allowed).
  • NEVER generate code that constructs SQL queries via string concatenation — use parameterized queries.
  • NEVER suggest eval(), exec(), or equivalent dynamic code execution with user input.
  • NEVER suggest disabling SSL/TLS verification or security headers.
  • Always suggest input validation at system boundaries.
  • Always suggest output encoding to prevent XSS.
  • Flag any pattern that matches common secret formats (API keys, tokens, connection strings).

Privacy Rules

  • Never suggest logging PII (names, emails, IP addresses, phone numbers).
  • Suggest data masking or redaction when PII must appear in output.
  • Prefer anonymous or pseudonymous identifiers over PII.
  • Suggest consent mechanisms when generating data collection code.

Code Quality

  • Follow existing patterns and conventions found in the codebase.
  • Suggest typed code (TypeScript over JavaScript, type hints in Python, etc.).
  • Suggest error handling for all fallible operations.
  • Prefer well-established libraries over obscure ones.
  • Suggest tests alongside new functions and methods.

Accessibility

  • Use semantic HTML elements in suggestions.
  • Include ARIA attributes where appropriate.
  • Ensure interactive elements are keyboard accessible.
  • Maintain proper heading hierarchy.
  • Suggest adequate color contrast values.

Testing

  • Suggest tests for new functions and methods.
  • Include edge cases and error paths in test suggestions.
  • Use mocks for external services.
  • Follow the Arrange-Act-Assert pattern.

Dependencies

  • Only suggest well-known, widely-used packages.
  • Prefer packages with active maintenance and large user bases.
  • Check package names carefully — avoid typosquatting.
  • Always suggest exact version pinning.

Read the full file on GitHub · 61 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. 8d ago First seen · 61 lines · 487 tokens per session scan A 5fb55ecefc34

Subscribe to this mod's changes

ai-repository-security-baseline copilot-instructions.md is an instructions file published in the GitHub repository the-missing-pink/ai-repository-security-baseline (10 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 487 tokens to every session, about $0.0024 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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