Awesome-Agentic-Engineering: Instructions file for GitHub Copilot

.github/instructions/contribution-review.instructions.md

Awesome-Agentic-Engineering contribution-review.instructions.md is an instructions file for GitHub Copilot from natnew/Awesome-Agentic-Engineering. It costs 414 tokens per session, scanned A, original, MIT.

A set of instructions for reviewing contributions to the Awesome-Agentic-Engineering project, including pull requests and issues.

In plain words
What is it for?
Use it to check evidence, score submissions, find duplicates or broken links, and decide whether to accept a contribution or request changes.
Why use it?
It gives reviewers a consistent way to assess submissions while keeping feedback clear, respectful, and tied to project rules.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file.

This is natnew/Awesome-Agentic-Engineering's own configuration. It tells GitHub Copilot how to work on Awesome-Agentic-Engineering 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 Awesome-Agentic-Engineering configures →

Reuse

Borrowing it

Nothing to install: this file belongs to natnew/Awesome-Agentic-Engineering. 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/natnew/Awesome-Agentic-Engineering/main/.github/instructions/contribution-review.instructions.md
Clone the repo
git clone --depth 1 https://github.com/natnew/Awesome-Agentic-Engineering

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 Awesome-Agentic-Engineering contribution-review.instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/natnew/awesome-agentic-engineering/contribution-review/github.svg)](https://agentmods.dev/instructions/natnew/awesome-agentic-engineering/contribution-review)
Your own site
<a href="https://agentmods.dev/instructions/natnew/awesome-agentic-engineering/contribution-review"><img src="https://agentmods.dev/badge/instructions/natnew/awesome-agentic-engineering/contribution-review/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 Awesome-Agentic-Engineering contribution-review.instructions.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/natnew/awesome-agentic-engineering/contribution-review"><img src="https://agentmods.dev/badge/instructions/natnew/awesome-agentic-engineering/contribution-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 414 This file is loaded in full into every session.
When invoked 414 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 $0.00414 $0.00414
Opus 5.5 $0.00166 $0.00166
Sonnet 5.5 $0.00083 $0.00083
Haiku 4.5 $0.00041 $0.00041

Measured 1mo ago against content hash 445581ee7d31, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Awesome-Agentic-Engineering contribution-review.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/instructions/contribution-review.instructions.md · 31 lines

What it actually says

Contribution and review

Guidance for reviewing pull requests and issues, and for editing the contribution process itself.

Tone

  • Be warm, concise, and respectful. Thank the contributor and keep the project welcoming.
  • Gate on the rubric, never on tone. Give a clear reason tied to a specific rubric dimension or policy line, and link the relevant doc (CONTRIBUTING.md, RUBRIC.md, or ANTI-PATTERNS.md).
  • Do not over-explain or over-apologise, and do not dilute a firm curation decision.

Reviewing a submission

  1. Read the cited evidence first. If sources are missing, request them before scoring.
  2. Score the seven dimensions in RUBRIC.md and check the three hard gates (Reliability, Evidence, Agentic relevance).
  3. Check section placement, duplicates (README.md and appendix/), link resolution, and formatting.

Deciding

  • Accept good-faith contributions that clear the hard gates, reach a total ≥ 27 / 45, resolve their links, and match the surrounding formatting.
  • Fix small things yourself rather than bouncing them back: typos, column alignment, link normalisation, neutralising promotional wording, or a missing evidence tag you can verify.
  • Request changes only when there is a substantive evidence, uniqueness, or scope gap. Name the specific dimension and what would clear it.
  • Close politely clear anti-patterns, out-of-scope submissions, or duplicates with no added judgement. Point to CONTRIBUTING.md or the relevant ANTI-PATTERNS.md item.

Editing the contribution process

When changing CONTRIBUTING.md or the templates, keep edits minimal and preserve the existing rubric, merge threshold, evidence tags, and review flow unless the change has been explicitly requested.

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 · 31 lines · 414 tokens per session scan A 445581ee7d31

Subscribe to this mod's changes

Awesome-Agentic-Engineering contribution-review.instructions.md is an instructions file published in the GitHub repository natnew/Awesome-Agentic-Engineering (4 stars, last pushed 7d ago), licensed MIT. It adds 414 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.

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 · 7,461 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 · 2,750 tokens

deepseek-harness AGENTS.md

AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.

deepseek-ai/deepseek-harness · 4,261 tokens