Prisma ORM is a Node.js and TypeScript database toolkit that lets applications work with databases through a programming interface instead of writing every query directly in SQL. Developers use it with databases including PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB, and CockroachDB. The catalogue add-ons provide agent rules, skills, hooks, agents, and other workflows for using Prisma.
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.
npx skills add prisma/orm --skill adr-reviewgit clone --depth 1 https://github.com/prisma/ormWrote 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.
[](https://agentmods.dev/skills/prisma/orm/adr-review)<a href="https://agentmods.dev/skills/prisma/orm/adr-review"><img src="https://agentmods.dev/badge/skills/prisma/orm/adr-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.
<a href="https://agentmods.dev/skills/prisma/orm/adr-review"><img src="https://agentmods.dev/badge/skills/prisma/orm/adr-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00064 | $0.00568 |
| Opus 5.5 | $0.00026 | $0.00227 |
| Sonnet 5.5 | $0.00013 | $0.00114 |
| Haiku 4.5 | $0.00006 | $0.00057 |
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 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- adr-review — 100% identical, 0 lines differ
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
- 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.
- 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
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.
- 1mo ago First seen · 45 lines · 64 tokens per session scan A 3646b2be5297
adr-review is a skill published in the GitHub repository prisma/orm (47,697 stars, last pushed today), licensed Apache-2.0. It adds 64 tokens to every session and 568 once invoked, about $0.0003 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 2026-09-03.
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