ai-pr-review-aidlc

ai-pr-review-aidlc is a command for GitHub Copilot from awslabs/aidlc-workflows. It costs 0 tokens per session (588 once invoked), scanned A, original, MIT-0.

A command for conducting a complete AIDLC review of a fixed code revision, using the repository context and review lenses stored in the project. It treats outputs from prompt-attack and security checks as evidence rather than instructions.

In plain words
What is it for?
Use it to review pull requests or other immutable code heads against shared project rules, trusted repository files, and specialized security checks.
Why use it?
It gives reviewers a structured way to assess the exact code revision being published while reducing the risk that untrusted review text changes the review process.

Command for GitHub Copilot ✓ vendor

Written for GitHub Copilot: a Copilot chat mode or prompt.

Good fit Use it to review pull requests or other immutable code heads against shared project rules, trusted repository files, and specialized security checks.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/awslabs/aidlc-workflows/ai-pr-review-aidlc
About the project

AI-DLC Workflows is a reusable software-development lifecycle that guides AI coding agents through staged engineering work and human approval gates. Teams use it to run structured, reviewable development processes across several coding-agent environments, and the catalogue entries are its agents, skills, rules, MCP integrations, and instructions.

awslabs/aidlc-workflows · 5,295 stars · on GitHub · awslabs.github.io

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.

Clone the repo
git clone --depth 1 https://github.com/awslabs/aidlc-workflows

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-pr-review-aidlc

README.md
[![agentmods](https://agentmods.dev/badge/commands/awslabs/aidlc-workflows/ai-pr-review-aidlc/github.svg)](https://agentmods.dev/commands/awslabs/aidlc-workflows/ai-pr-review-aidlc)
Your own site
<a href="https://agentmods.dev/commands/awslabs/aidlc-workflows/ai-pr-review-aidlc"><img src="https://agentmods.dev/badge/commands/awslabs/aidlc-workflows/ai-pr-review-aidlc/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 ai-pr-review-aidlc

Your own site · 80×15
<a href="https://agentmods.dev/commands/awslabs/aidlc-workflows/ai-pr-review-aidlc"><img src="https://agentmods.dev/badge/commands/awslabs/aidlc-workflows/ai-pr-review-aidlc.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 588 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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 $0.00000 $0.00588
Opus 5.5 $0.00000 $0.00235
Sonnet 5.5 $0.00000 $0.00118
Haiku 4.5 $0.00000 $0.00059

Measured 6d ago against content hash d890a437858f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ai-pr-review-aidlc 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 6d 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/prompts/ai-pr-review-aidlc.md · 45 lines

The source is not reproduced here

Licensed MIT-0

The repository is licensed MIT-0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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. 6d ago Changed · +6 lines d890a437858f
  2. 24d ago Changed · -72 lines 2e1d4a8120bf
  3. 27d ago Changed 0e574b8c23a9
  4. 28d ago Changed · -1 lines 5dc81a542abd
  5. 1mo ago First seen · 112 lines · 0 tokens per session scan A 29c759dc98a5

Subscribe to this mod's changes

ai-pr-review-aidlc is a command published in the GitHub repository awslabs/aidlc-workflows (5,295 stars, last pushed today), licensed MIT-0. It costs nothing until one of its globs matches a file; then it loads 588 tokens. 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 2026-09-13.