plan-data-architect-review

A review process for checking data model and database schema design, including how tables are structured and joined.

In plain words
What is it for?
Use it before loading data, after creating a materialized schema, or when designing dbt dimensional models.
Why use it?
It can reveal inconsistent keys, names, types, or relationships that make data difficult to combine or safely change. dbt is a tool for building and testing data transformations.

Skill for Claude CodeCodex

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/tower/agentic-data-engineering/plan-data-architect-review
Any agent
npx skills add tower/agentic-data-engineering --skill plan-data-architect-review
Clone the repo
git clone --depth 1 https://github.com/tower/agentic-data-engineering

Made for: Claude Code, Codex.

Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,513 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00076 $0.06513
Opus 5 $0.00038 $0.03256
Sonnet 5 $0.00015 $0.01303
Haiku 4.5 $0.00008 $0.00651

Measured 2d ago against content hash 1bfbf5aa532a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

plan-data-architect-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.

.claude/skills/plan-data-architect-review/SKILL.md · 629 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

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. 2d ago First seen · 629 lines · 76 tokens per session scan A 1bfbf5aa532a

Subscribe to this mod's changes

plan-data-architect-review is a skill published in the GitHub repository tower/agentic-data-engineering (20 stars, last pushed 4mo ago), with no licence file. It adds 76 tokens to every session and 6,513 once invoked, about $0.0004 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 2026-08-30.

Related

Other skills, from other repositories

prisma-upgrade-v7

Complete migration guide from Prisma ORM v6 to v7 covering all breaking changes. Use when upgrading Prisma versions, encountering v7 errors, or migrating existing projects. Triggers on "upgrade to prisma 7", "prisma 7 migration", "prisma-client generator", "driver adapter required".

nitrocloudofficial/nitrostack · 67 tokens

ddia-systems

Design data systems by understanding storage engines, replication, partitioning, transactions, and consistency models. Use when the user mentions "database choice", "which database should I use", "SQL or NoSQL", "replication lag", "partitioning strategy", "consistency vs availability", "stream processing", "ACID…

wondelai/skills · 138 tokens

sqlitecpp-update-sqlite

How to update the bundled SQLite3 amalgamation (sqlite3/sqlite3.c and sqlite3.h), the Meson wrap, README.md, and CHANGELOG.md. Use when upgrading SQLite, refreshing the vendored amalgamation, or bumping the sqlite3 wrap.

SRombauts/SQLiteCpp · 61 tokens

dsql

Build with Aurora DSQL — manage schemas, execute queries, handle migrations, diagnose query plans, diagnose cluster performance, load data, and develop applications with a serverless, distributed SQL database. Covers IAM auth, multi-tenant patterns, MySQL-to-DSQL and PostgreSQL-to-DSQL schema conversion, FK…

awslabs/agent-plugins · 227 tokens

mongodb-natural-language-querying

Generate read-only MongoDB queries (find) or aggregation pipelines using natural language, with collection schema context and sample documents. Use this skill whenever the user asks to write, create, or generate MongoDB queries, wants to filter/query/aggregate data in MongoDB, asks "how do I query...", needs help with…

mongodb/agent-skills · 162 tokens

sql-translate

Translate SQL queries between database dialects (Snowflake, BigQuery, PostgreSQL, MySQL, etc.).

AltimateAI/altimate-code · 26 tokens