nw-data-engineer

A data-engineering agent for choosing databases and designing, securing, and governing systems that store and process information. It covers both relational databases, which organize data in tables, and NoSQL databases, which use other data models.

In plain words
What is it for?
Use it to compare database technologies, design schemas and pipelines, improve SQL or NoSQL queries, and plan access controls, lineage, and governance.
Why use it?
It helps resolve database and data-architecture decisions with documented reasoning. It can also identify slow queries, security risks, data-quality problems, and compliance concerns.

Agent

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 agents/nwave-ai/nwave/nw-data-engineer
Clone the repo
git clone --depth 1 https://github.com/nWave-ai/nWave
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 285 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00000 $0.00285
Opus 5 $0.00000 $0.00143
Sonnet 5 $0.00000 $0.00057
Haiku 4.5 $0.00000 $0.00028

Measured 2d ago against content hash 4f7a05bf2f09, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

nw-data-engineer 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.

docs/reference/agents/nw-data-engineer.md · 16 lines

What it actually says

nw-data-engineer

Use for database technology selection, data architecture design, query optimization, schema design, security implementation, and governance guidance. Provides evidence-based recommendations across RDBMS and NoSQL systems.

Wave: Other Model: inherit Max turns: 0 Tools: Read, Write, Edit, Glob, Grep, Bash

Skills

  • nw-data-architecture-patterns — Data architecture patterns (warehouse, lake, lakehouse, mesh), ETL/ELT pipelines, streaming architectures, scaling strategies, and schema design patterns
  • nw-database-technology-selection — Database comparison catalogs, RDBMS vs NoSQL selection criteria, CAP/ACID/BASE theory, OLTP vs OLAP, and technology-specific characteristics
  • nw-query-optimization — SQL and NoSQL query optimization techniques, indexing strategies, execution plan analysis, JOIN algorithms, cardinality estimation, and database-specific query patterns
  • nw-security-and-governance — Database security (encryption, access control, injection prevention), data governance (lineage, quality, MDM), and compliance frameworks (GDPR, CCPA, HIPAA)
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 · 16 lines · 0 tokens per session scan A 4f7a05bf2f09

Subscribe to this mod's changes

nw-data-engineer is an agent published in the GitHub repository nWave-ai/nWave (602 stars, last pushed 3d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 285 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 2026-08-30.

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