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connect-data

connect-data is a skill for Claude Code from ai-analyst-lab/ai-analyst. It costs 242 tokens per session (1,910 once invoked), scanned A, original, MIT.

A guided setup wizard for connecting a new data source to an analysis system. It supports sources such as CSV files, DuckDB, and PostgreSQL, then sets up access so the data can be queried.

In plain words
What is it for?
Use it to add a database or file-based dataset, configure a new connection type, test access, and make the connected data available for analysis.
Why use it?
Analysis cannot start until the system can reach the relevant data, and connection setup often involves several configuration and verification steps. This walks through those steps instead of only describing them.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

not rated 322repo +3 changed 1mo ago A scan 242 tokens original MIT

Good fit Use it to add a database or file-based dataset, configure a new connection type, test access, and make the connected data available for analysis.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ai-analyst-lab/ai-analyst/connect-data
View source ↗ ai-analyst-lab/ai-analyst
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.

Any agent
npx skills add ai-analyst-lab/ai-analyst --skill connect-data
Clone the repo
git clone --depth 1 https://github.com/ai-analyst-lab/ai-analyst

Made for: Claude Code.

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 connect-data

README.md
[![agentmods](https://agentmods.dev/badge/skills/ai-analyst-lab/ai-analyst/connect-data/github.svg)](https://agentmods.dev/skills/ai-analyst-lab/ai-analyst/connect-data)
Your own site
<a href="https://agentmods.dev/skills/ai-analyst-lab/ai-analyst/connect-data"><img src="https://agentmods.dev/badge/skills/ai-analyst-lab/ai-analyst/connect-data/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.

agentmods 80×15 button for connect-data

Your own site · 80×15
<a href="https://agentmods.dev/skills/ai-analyst-lab/ai-analyst/connect-data"><img src="https://agentmods.dev/badge/skills/ai-analyst-lab/ai-analyst/connect-data.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 242 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,910 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00242 $0.01910
Opus 5.5 $0.00097 $0.00764
Sonnet 5.5 $0.00048 $0.00382
Haiku 4.5 $0.00024 $0.00191

Measured 1mo ago against content hash 060cafbae964, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

connect-data 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.

.claude/skills/connect-data/SKILL.md · 148 lines

How it starts

The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Once a CSV folder is registered, it is SQL-queryable through ConnectionManager().query(sql): each file becomes a table named after its file stem (orders.csv -> orders), and the manifest's files: list is the table inventory. Every query is auto-logged for provenance.

Skill: Connect Data

Purpose

This is an interactive setup wizard, not a documentation generator. Guide the user through the actual connection process by executing each step, creating files, testing connectivity, and setting up the knowledge system. Do not just explain what would happen — make it happen.

When to Use

  • User says /connect-data or "connect my database" or "add a new dataset"
  • First-run welcome suggests connecting data
  • After /switch-dataset when the target dataset doesn't exist yet

Invocation

/connect-data — start the connection wizard /connect-data type=postgres — skip type selection and go directly to Step 2

Parameter Handling: If the user provides type={connection_type} (e.g., type=bigquery, type=postgres), SKIP Step 1 entirely and proceed directly to Step 2 with that connection type already selected.

Instructions

Step 1: Choose Connection Type

Skip this step if type parameter was provided in the invocation.

Present options:

  1. CSV files — "I have CSV files in a local directory"
  2. DuckDB — "I have a local DuckDB database file"
  3. PostgreSQL — "I have a PostgreSQL database"
  4. Snowflake — "I have a Snowflake warehouse"
  5. BigQuery — "I have a Google BigQuery dataset"
  6. Databricks — "I have a Databricks SQL warehouse"
  7. Redshift — "I have an Amazon Redshift cluster"
  8. SQL Server — "I have a Microsoft SQL Server / Azure SQL database"
  9. MySQL — "I have a MySQL or MariaDB database"

Step 2: Collect Connection Details

For CSV:

  • Ask: "What's the path to your CSV directory? (relative to this repo)"
  • Verify the directory exists and contains .csv files
  • List found files and ask to confirm

Read the full file on GitHub · 148 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. 1mo ago Changed 060cafbae964
  2. 1mo ago First seen · 148 lines · 242 tokens per session scan A 546f1e255b1c

Subscribe to this mod's changes

connect-data is a skill published in the GitHub repository ai-analyst-lab/ai-analyst (322 stars, last pushed 1mo ago), licensed MIT. It adds 242 tokens to every session and 1,910 once invoked, about $0.0010 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 2026-09-12.

Databases
Related

connect-data compared with skills from other repositories

connect-data next to 6 skills from other repositories
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connect-dataai-analyst-lab/ai-analystSkill3221mo agoMITA242Claude Code
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schema-explorationlangchain-ai/deepagentsSkill31kyesterdayMITA57Claude Code, Codex
atlas-mssqlariga/atlasSkill8.8kyesterdayApache-2.0A163Claude Code
ha-data-storesshiwenwen/hope-agentSkill1.9kyesterdayMITA115Claude Code, Codex
nornicdb-cypher-queriesorneryd/NornicDBSkill923yesterdayMITA79Claude Code, Codex
volcengine-rds-postgresqlbytedance/agentkit-samplesSkill484todayApache-2.0A63Claude Code, Codex