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.
npx skills add exasol-labs/exasol-agent-skills --skill exasol-transformersgit clone --depth 1 https://github.com/exasol-labs/exasol-agent-skillsWrote 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.
[](https://agentmods.dev/skills/exasol-labs/exasol-agent-skills/exasol-transformers)<a href="https://agentmods.dev/skills/exasol-labs/exasol-agent-skills/exasol-transformers"><img src="https://agentmods.dev/badge/skills/exasol-labs/exasol-agent-skills/exasol-transformers/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.
<a href="https://agentmods.dev/skills/exasol-labs/exasol-agent-skills/exasol-transformers"><img src="https://agentmods.dev/badge/skills/exasol-labs/exasol-agent-skills/exasol-transformers.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00065 | $0.00629 |
| Opus 5 | $0.00032 | $0.00315 |
| Sonnet 5 | $0.00013 | $0.00126 |
| Haiku 4.5 | $0.00006 | $0.00063 |
Grade A, and why
exasol-transformers 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.
How it starts
The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Exasol Transformers Extension Skill
Trigger when the user mentions Transformers Extension, TE extension, initialize_te_extension, deploy_scripts, Hugging Face models in Exasol, TE UDF, PYTHON3_TE, or NLP inference inside Exasol.
Purpose
This skill routes notebook-connector Transformers Extension tasks to the reference material that covers TE setup, activation, validation, and the current TE SQL UDF surface.
Use this skill after notebook-connector configuration already exists in the SCS (secure config store). If the required DB or BucketFS values are still missing, activate exasol-notebook-connector-config first.
Routing Algorithm
-
Extension setup and model handling
- Trigger phrases:
initialize_te_extension,deploy_scripts,install_model,huggingface_token - Load:
references/transformers-extension.md
- Trigger phrases:
-
SQL UDF usage and validation
- Trigger phrases:
TE_TEXT_GENERATION_UDF,TE_DELETE_MODEL_UDF,get_activation_sql,transformers sql udf - Load:
references/transformers-extension.md
- Trigger phrases:
Multiple routes can apply. Load the reference before responding.
Prerequisites
The secure config store must already contain complete DB and BucketFS values. If not, activate exasol-notebook-connector-config first.
- DB values:
db_host_name,db_port,db_user,db_password,db_schema - BucketFS values:
bfs_host_name,bfs_port,bfs_service,bfs_bucket,bfs_user,bfs_password - optional:
huggingface_tokenfor gated or private models
Validation
Validate setup with the reference flow after loading
references/transformers-extension.md.
Success signals:
- the returned activation SQL is present and non-empty
- the TE setup or validation step from the reference completes without language-activation errors
- at least one TE UDF call returns rows instead of missing-language or missing-script errors
Expected failure mode:
- if DB, BucketFS, or Hugging Face settings are incomplete, initialization or UDF execution should fail until exasol-notebook-connector-config has been completed with real values
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.
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.
- 7d ago Changed · +16 tokens per session 93257b316505
- 11d ago First seen · 61 lines · 49 tokens per session scan A 3639719f3b24
exasol-transformers is a skill published in the GitHub repository exasol-labs/exasol-agent-skills (10 stars, last pushed 7d ago), licensed MIT. It adds 65 tokens to every session and 629 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.
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