exasol-notebook-connections

exasol-notebook-connections is a skill for Claude Code from exasol-labs/exasol-agent-skills. It costs 64 tokens per session (490 once invoked), scanned A, original, MIT.

A set of Python helpers for connecting notebooks to Exasol, a database built for analytics, and to its BucketFS file storage.

In plain words
What is it for?
Opening Exasol connections through PyExasol, SQLAlchemy, or Ibis, and accessing BucketFS buckets and locations.
Why use it?
It provides established connection functions instead of requiring you to assemble connection code for each database or storage task.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the exasol plugin — 18 skills, 2 commands shipped together

Good fit Opening Exasol connections through PyExasol, SQLAlchemy, or Ibis, and accessing BucketFS buckets and locations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/exasol-labs/exasol-agent-skills/exasol-notebook-connections
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 exasol-labs/exasol-agent-skills --skill exasol-notebook-connections
Clone the repo
git clone --depth 1 https://github.com/exasol-labs/exasol-agent-skills

Made for: Claude Code.

Or install exasol, the plugin that ships this one along with the rest of its 18 skills, 2 commands.

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 exasol-notebook-connections

README.md
[![agentmods](https://agentmods.dev/badge/skills/exasol-labs/exasol-agent-skills/exasol-notebook-connections/github.svg)](https://agentmods.dev/skills/exasol-labs/exasol-agent-skills/exasol-notebook-connections)
Your own site
<a href="https://agentmods.dev/skills/exasol-labs/exasol-agent-skills/exasol-notebook-connections"><img src="https://agentmods.dev/badge/skills/exasol-labs/exasol-agent-skills/exasol-notebook-connections/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 exasol-notebook-connections

Your own site · 80×15
<a href="https://agentmods.dev/skills/exasol-labs/exasol-agent-skills/exasol-notebook-connections"><img src="https://agentmods.dev/badge/skills/exasol-labs/exasol-agent-skills/exasol-notebook-connections.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 490 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 $0.00064 $0.00490
Opus 5 $0.00032 $0.00245
Sonnet 5 $0.00013 $0.00098
Haiku 4.5 $0.00006 $0.00049

Measured 8d ago against content hash adc816d412ad, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

exasol-notebook-connections 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 8d ago.

The scan reads SKILL.md. This mod also ships 5 executable files (scripts/check_backend.py, scripts/open_bucketfs.py, scripts/open_ibis.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

plugins/exasol/skills/exasol-notebook-connections/SKILL.md · 48 lines

What it actually says

Exasol Notebook Connector Connections Skill

Trigger when the user mentions open_pyexasol_connection, open_sqlalchemy_connection, open_ibis_connection, open_bucketfs_bucket, BucketFS location, get_backend, connection helper, or use notebook-connector from Python.

Routing Algorithm

  1. Database Connection Helpers

    • Trigger phrases: pyexasol, sqlalchemy, ibis, open connection
    • Load: references/connections-api.md
    • Use scripts from: scripts/
  2. BucketFS Object Helpers

    • Trigger phrases: open_bucketfs_bucket, open_bucketfs_location, bucket path
    • Load: references/connections-api.md
    • Use scripts from: scripts/
  3. Config Not Set Up Yet

    • Activate exasol-notebook-connector-config

Validation

Validate the configured connection helpers in this order:

  • run scripts/check_backend.py first to confirm the store resolves the expected backend
  • if helpers fail due to missing keys or placeholder values, activate exasol-notebook-connector-config and run its scripts/validate_config.py
  • then run scripts/open_pyexasol.py, scripts/open_sqlalchemy.py, scripts/open_ibis.py, or scripts/open_bucketfs.py for the helper family the user needs

Success signals:

  • open_pyexasol.py can run SELECT 1
  • open_sqlalchemy.py can open an engine and execute a minimal statement
  • open_ibis.py can list tables
  • open_bucketfs.py can resolve the bucket object and UDF-visible path

Expected failure mode:

  • if the config still contains placeholder hostnames, PATs, or database IDs, these checks should fail until the real values are present

Notes

  • This skill assumes the secure config store is already populated.
  • Prefer these helpers over ad hoc connection construction when the user is already using notebook-connector.
Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 8d ago Changed adc816d412ad
  2. 12d ago First seen · 48 lines · 64 tokens per session scan A 00767940c34a

Subscribe to this mod's changes

exasol-notebook-connections is a skill published in the GitHub repository exasol-labs/exasol-agent-skills (10 stars, last pushed 8d ago), licensed MIT. It adds 64 tokens to every session and 490 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

dynamodb

AWS DynamoDB NoSQL database for scalable data storage. Use when designing table schemas, writing queries, configuring indexes, managing capacity, implementing single-table design, or troubleshooting performance issues.

itsmostafa/aws-agent-skills · 39 tokens

rds

AWS RDS relational database service for managed databases. Use when provisioning databases, configuring backups, managing replicas, troubleshooting connectivity, or optimizing performance.

itsmostafa/aws-agent-skills · 31 tokens

using-datavault4dbt

Builds Data Vault 2 models in dbt with the datavault4dbt package — staging, hubs, links, satellites, and business-vault entities — using the YAML-metadata macro pattern with correct hashkeys, hashdiffs, naming, and materializations. Use when creating or editing datavault4dbt models, setting up a raw vault, choosing…

ScalefreeCOM/datavault4dbt-agent-skills · 102 tokens

configuring-datavault4dbt

Installs and configures the datavault4dbt package in a dbt project — packages.yml, copying the global vars into dbtproject.yml, hash and naming settings, and per-adapter setup. Use when setting up datavault4dbt, installing the package, changing hash/naming global variables, or adapting configuration for a specific…

ScalefreeCOM/datavault4dbt-agent-skills · 94 tokens

rehashing-datavault4dbt-entities

Recalculates hashkeys and hashdiffs across an existing raw vault with datavault4dbt's rehashing macros after a change to the hash algorithm, datatype, trimming, or case sensitivity — including the v1→v2.0.0 upgrade. Use when changing hash global variables, migrating hash logic, or upgrading datavault4dbt without…

ScalefreeCOM/datavault4dbt-agent-skills · 90 tokens

testing-a-datavault4dbt-project

Adds Data Vault 2 technical tests to a datavault4dbt project — hashkey uniqueness and not-null, link-to-hub referential integrity, and satellite key+load-date uniqueness — as dbt soft-constraint tests in YAML. Use when adding or reviewing tests for hubs, links, or satellites, or validating raw vault integrity.

ScalefreeCOM/datavault4dbt-agent-skills · 81 tokens