exasol-import

exasol-import is a skill for Claude Code from exasol-labs/exasol-agent-skills. It costs 105 tokens per session (821 once invoked), scanned A, original, MIT.

A guide to loading local files and cloud-storage data into Exasol, a database for large-scale data analysis. It covers formats such as CSV, fixed-width text, and Parquet.

In plain words
What is it for?
Use it to import files, upload local data with exapump, connect to S3, Azure Blob Storage, or similar services, and handle rejected rows or staging tables.
Why use it?
It helps avoid guessing the right SQL, upload command, connection setup, and error-handling steps when bringing files into Exasol.

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 Use it to import files, upload local data with exapump, connect to S3, Azure Blob Storage, or similar services, and handle rejected rows or staging tables.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/exasol-labs/exasol-agent-skills/exasol-import
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-import
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-import

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/exasol-labs/exasol-agent-skills/exasol-import"><img src="https://agentmods.dev/badge/skills/exasol-labs/exasol-agent-skills/exasol-import.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 105 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 821 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 $0.00105 $0.00821
Opus 5 $0.00053 $0.00411
Sonnet 5 $0.00021 $0.00164
Haiku 4.5 $0.00011 $0.00082

Measured 7d ago against content hash 09f03292290d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

exasol-import 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 7d 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.

plugins/exasol/skills/exasol-import/SKILL.md · 43 lines

How it starts

The opening of the file, as written. The whole thing — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Exasol Import Skill

This skill covers only workflows that move data into Exasol.

Step 0: Establish Connection

Ensure a working exapump profile before giving terminal workflows that use exapump upload:

  1. If the user names a profile, test it with exapump sql --profile <name> "SELECT 1"; always place --profile after the subcommand. Otherwise test the default profile with exapump sql "SELECT 1".
  2. On success, proceed — and keep the same --profile <name> after the subcommand on every later command, such as exapump upload --profile <name> <file> --table <schema.table>.
  3. On failure, run exapump profile list to see which profiles exist.
  4. If profiles exist, present them and ask which to use, then inspect that one with exapump profile show <name> — it masks credentials — to confirm the required fields are set. Never read, cat, or print ~/.exapump/config.toml; it stores credentials in clear text. If a credential value does appear in any command output, do not repeat it in the conversation.
  5. If no usable profile exists, have the user create one locally with exapump profile add <name> (omit --password and exapump prompts on a hidden line) or exapump profile init, then retry step 1. Never ask the user to paste a password into the conversation, and never pass one as a command-line argument.

Trigger when the user mentions IMPORT, IMPORT INTO, upload CSV, upload Parquet, local file load, exapump upload, S3 import, Azure Blob import, GCS import, Parquet import, or CREATE CONNECTION together with import or object-store loading intent.

Routing Algorithm

  1. Local files on the user machine

    • Trigger phrases: upload csv, upload parquet, exapump upload, from local
    • Load: references/import.md
  2. Remote or cloud files reachable by Exasol

    • Trigger phrases: IMPORT, IMPORT INTO, S3, Azure Blob, GCS, FTP, SFTP, HTTP, HTTPS, CREATE CONNECTION with import or object-store loading intent
    • Load: references/import.md

Read the full file on GitHub · 43 lines

Files

What ships with it

1 file 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. 7d ago Changed · -2 lines · +56 tokens per session 09f03292290d
  2. 12d ago First seen · 45 lines · 49 tokens per session scan A f1dd76c3ab1a

Subscribe to this mod's changes

exasol-import is a skill published in the GitHub repository exasol-labs/exasol-agent-skills (10 stars, last pushed 7d ago), licensed MIT. It adds 105 tokens to every session and 821 once invoked, about $0.0005 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

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

pgvector-semantic-search

Use this skill for setting up vector similarity search with pgvector for AI/ML embeddings, RAG applications, or semantic search. Trigger when user asks to: Store or search vector embeddings in PostgreSQL Set up semantic search, similarity search, or nearest neighbor search Create HNSW or IVFFlat indexes for vectors…

timescale/pg-aiguide · 190 tokens

postgres-hybrid-text-search

Use this skill to implement hybrid search combining BM25 keyword search with semantic vector search using Reciprocal Rank Fusion (RRF). Trigger when user asks to: Combine keyword and semantic search Implement hybrid search or multi-modal retrieval Use BM25/pgtextsearch with pgvector together Implement RRF (Reciprocal…

timescale/pg-aiguide · 162 tokens

bedrock

AWS Bedrock foundation models for generative AI. Use when invoking foundation models, building AI applications, creating embeddings, configuring model access, or implementing RAG patterns.

itsmostafa/aws-agent-skills · 36 tokens

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