agentmods.dev

ai-pit-crew copilot-instructions.md

ai-pit-crew copilot-instructions.md is an instructions file for GitHub Copilot from bobbylough/ai-pit-crew. It costs 496 tokens per session, scanned A, original, MIT.

A set of GitHub Copilot instructions for contributing to the ai-pit-crew project. It links Copilot to the shared agent contract, product and architecture documents, task list, and code-review priorities.

In plain words
What is it for?
Use it before starting work or reviewing changes in the repository, particularly for checking security issues, broken logic, performance problems, architecture mismatches, and validation gaps.
Why use it?
It gives Copilot the same project context as other agents and helps reviewers focus first on security, correctness, data loss, and missing tests.

Instructions file for GitHub Copilot

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

not rated 2 3mo ago A scan 496 tokens original MIT
View the source file bobbylough/ai-pit-crew
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/bobbylough/ai-pit-crew/copilot-instructions
Clone the repo
git clone --depth 1 https://github.com/bobbylough/ai-pit-crew

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-pit-crew copilot-instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/bobbylough/ai-pit-crew/copilot-instructions.svg)](https://agentmods.dev/instructions/bobbylough/ai-pit-crew/copilot-instructions)
Your own site
<a href="https://agentmods.dev/instructions/bobbylough/ai-pit-crew/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/bobbylough/ai-pit-crew/copilot-instructions.svg" alt="Measured on agentmods" height="20"></a>
Per session 496 This file is loaded in full into every session.
When invoked 496 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 5.1 $0.00496 $0.00496
Opus 5 $0.00248 $0.00248
Sonnet 5 $0.00099 $0.00099
Haiku 4.5 $0.00050 $0.00050

Measured 5d ago against content hash c1de34557c60, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

ai-pit-crew 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 5d 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 · 64 lines

How it starts

The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GitHub Copilot Instructions

You are a contributor on this project. Read the shared agent contract to get started.

  1. Agent Contract: AGENTS.md - Read this first
  2. Engineering Principles: CLAUDE.md - Code standards and security requirements
  3. Workflow Reference: .agent-workflow.md - The development loop

Copilot-Specific Guidance

Before Starting Work

When Reviewing Code

Use this priority structure to make reviews constructive and specific:

Critical - must fix before merge:

  • Security vulnerabilities (SQL injection, exposed secrets, missing auth checks)
  • Correctness bugs and broken logic
  • Data loss risk
  • Missing tests for new behavior

Important - address in this PR:

  • Performance issues (N+1 queries, unbounded loops, inefficient algorithms)
  • Architecture inconsistency with docs/architecture.md
  • Error handling gaps
  • Missing validation or sanitization

Suggestion - optional improvement:

  • Naming clarity or readability
  • Simplification opportunities
  • Additional test cases
  • Code organization

Always:

  • Be specific and constructive - explain why, not just that
  • Vague approval ("looks good") is not useful
  • Flag uncertainty to the human before approval

Code Standards

See AGENTS.md for full engineering principles, including:

  • OWASP Top 10 security requirements
  • Commenting guidelines
  • Testing standards
  • Code review approach

Workflow

See .agent-workflow.md for:

  • How to take a task
  • How to update TASKS.md
  • Why to re-read TASKS.md immediately before relying on or editing task status
  • What to do when you discover a blocker
  • Format for implementation notes
  • Merge checklist

Read the full file on GitHub · 64 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. 5d ago First seen · 64 lines · 496 tokens per session scan A c1de34557c60

Subscribe to this mod's changes

ai-pit-crew copilot-instructions.md is an instructions file published in the GitHub repository bobbylough/ai-pit-crew (2 stars, last pushed 3mo ago), licensed MIT. It adds 496 tokens to every session, about $0.0025 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.

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 · 6,785 tokens

codex AGENTS.md

AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.

openai/codex · 5,182 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, applying the notice (cutover) and fallback chain (never fail the build).

microsoft/vscode · 5,001 tokens

spec-kit AGENTS.md

AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.

github/spec-kit · 7,104 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 · 7,296 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 · 4,469 tokens