make-database

make-database is a skill for Claude Code, Codex from kenlkehl/onc-data-wrangler-plugin. It costs 61 tokens per session (4,789 once invoked), scanned A, original, no licence file.

A guided workflow for turning raw tabular data files into a DuckDB database, a local database that can be queried with SQL.

In plain words
What is it for?
It helps build a queryable, privacy-preserving database from structured data files and create a cohort from that data.
Why use it?
It removes the need to manually find the files, configure the project, load the data, and prepare the database.

Skill for Claude CodeCodex

Part of the onc-data-wrangler plugin — 14 skills, 11 agents shipped together

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/kenlkehl/onc-data-wrangler-plugin/make-database
Any agent
npx skills add kenlkehl/onc-data-wrangler-plugin --skill make-database
Clone the repo
git clone --depth 1 https://github.com/kenlkehl/onc-data-wrangler-plugin

Made for: Claude Code, Codex.

Or install onc-data-wrangler, the plugin that ships this one along with the rest of its 14 skills, 11 agents.

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 make-database

README.md
[![agentmods](https://agentmods.dev/badge/skills/kenlkehl/onc-data-wrangler-plugin/make-database.svg)](https://agentmods.dev/skills/kenlkehl/onc-data-wrangler-plugin/make-database)
Your own site
<a href="https://agentmods.dev/skills/kenlkehl/onc-data-wrangler-plugin/make-database"><img src="https://agentmods.dev/badge/skills/kenlkehl/onc-data-wrangler-plugin/make-database.svg" alt="Measured on agentmods" height="20"></a>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,789 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 $0.00061 $0.04789
Opus 5 $0.00030 $0.02395
Sonnet 5 $0.00012 $0.00958
Haiku 4.5 $0.00006 $0.00479

Measured 4d ago against content hash 8a3faaff51e9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

make-database 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 4d 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.

skills/make-database/SKILL.md · 489 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. 4d ago First seen · 489 lines · 61 tokens per session scan A 8a3faaff51e9

Subscribe to this mod's changes

make-database is a skill published in the GitHub repository kenlkehl/onc-data-wrangler-plugin (5 stars, last pushed 1mo ago), with no licence file. It adds 61 tokens to every session and 4,789 once invoked, about $0.0003 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 2026-08-31.

Related

Other skills, from other repositories

schema-exploration

Lists tables, describes columns and data types, identifies foreign key relationships, and maps entity relationships in a database. Use when the user asks about database schema, table structure, column types, what tables exist, ERD, foreign keys, or how entities relate.

langchain-ai/deepagents · 57 tokens

agent-platform-rag-engine-management

Manage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK. Use when listing RAG corpora or files, inspecting a corpus, retrieving contexts, or generating content grounded in a RAG corpus. Do not use for standard database queries (use SQL/Spanner skills), Google…

google/skills · 85 tokens

deploy-docker-compose

Run the Omnigent server as a Docker compose stack (server + Postgres) on any Docker host — your laptop, a VPS, EC2 by hand, or as the base layer of any container-platform deploy. Invoke when the user wants to build the image, bring up the compose stack, debug the stack on a host they already have, or extend the stack…

omnigent-ai/omnigent · 84 tokens

moderator-page-migration

Port a moderator page from the main Next.js app (src/pages/moderator/) into apps/moderator. Use when asked to migrate, move or cut over a /moderator/ page to the spoke, or to port its tRPC procedures and Prisma services to SvelteKit loads/actions and Kysely.

civitai/civitai · 71 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, foreign key…

awslabs/agent-plugins · 229 tokens

sql-translate

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

AltimateAI/altimate-code · 26 tokens