adr-review

adr-review is a skill for Claude Code, Codex from prisma/prisma-next. It costs 64 tokens per session (568 once invoked), scanned A, a copy of adr-review, Apache-2.0.

A fresh-eyes review guide for Architecture Decision Records, or ADRs—documents that record important technical decisions and their reasoning.

In plain words
What is it for?
Use it to review and rewrite one or more ADRs so they explain the decision clearly to readers who were not involved when it was made.
Why use it?
It finds missing context, unclear structure, and decisions that are hard for future team members to understand.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

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 skills/prisma/prisma-next/adr-review
Any agent
npx skills add prisma/prisma-next --skill adr-review
Clone the repo
git clone --depth 1 https://github.com/prisma/prisma-next

Made for: Claude Code, Codex.

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 adr-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/prisma/prisma-next/adr-review.svg)](https://agentmods.dev/skills/prisma/prisma-next/adr-review)
Your own site
<a href="https://agentmods.dev/skills/prisma/prisma-next/adr-review"><img src="https://agentmods.dev/badge/skills/prisma/prisma-next/adr-review.svg" alt="Measured on agentmods" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 568 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod 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 $0.00064 $0.00568
Opus 5 $0.00032 $0.00284
Sonnet 5 $0.00013 $0.00114
Haiku 4.5 $0.00006 $0.00057

Measured 2d ago against content hash 3646b2be5297, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

adr-review 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 2d 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.

Origin

This is a copy

100% identical to adr-review — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills-contrib/adr-review/SKILL.md · 45 lines

How it starts

The opening of the file, as written. The whole thing — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Reviewing and Rewriting ADRs

Read each ADR with fresh eyes. Pretend you're a member of the team who doesn't have all the context the author has. The goal is to find places where the document assumes context the reader doesn't have, buries the decision, or carries baggage that won't make sense to a future reader.

This skill applies whether you're working on a single ADR or a batch. Treat each ADR independently — do the analysis and rewrite per document — even when several are in scope at once.

Workflow

  1. Analyze first, in chat. Before touching any file, list the issues you found and explain them. Do not rewrite silently. When multiple ADRs are in scope, group your analysis per ADR so the user can react to each one before rewrites land.
  2. Then rewrite each document to address the issues you identified.

What a good ADR looks like

  • Starts with a clear grounding example. Give the reader something concrete to pin understanding to before the abstract reasoning starts.
  • Has a strong narrative that builds the topic up bit by bit, explaining clearly throughout. Don't compress; let ideas breathe.
  • Leads with the decision. State what's being decided up front. The reader should know the conclusion before working through the reasoning.
  • Ends with alternatives considered. Put rejected options last so the reader isn't loaded down with information about paths the document is making irrelevant.

What an ADR must NOT contain

ADRs are long-lived documentation. They should not contain:

  • References to Linear tickets, GitHub issues, or other ticket trackers.
  • Milestones from the project that produced the ADR.
  • States the system passed through during or preceding a refactor that will never be seen again — interim names, deprecated wrappers being removed, "current" qualifiers, "we used to" framing.

If a piece of context only makes sense to someone who lived through the change, cut it or rewrite it as a fact about the system as it is.

Output shape

Read the full file on GitHub · 45 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. 2d ago First seen · 45 lines · 64 tokens per session scan A 3646b2be5297

Subscribe to this mod's changes

adr-review is a skill published in the GitHub repository prisma/prisma-next (419 stars, last pushed 11d ago), licensed Apache-2.0. It adds 64 tokens to every session and 568 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to adr-review, differing in 0 lines, and is treated as a copy.

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