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 | $0.00046 | $0.01333 |
| Opus 5.5 | $0.00018 | $0.00533 |
| Sonnet 5.5 | $0.00009 | $0.00267 |
| Haiku 4.5 | $0.00005 | $0.00133 |
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 11d 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 — 124 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
Use this skill to deploy the Transformers Extension Script Language Container
(SLC) and UDFs, install models, generate activation SQL, and run or validate the
current AI_* SQL Functions. Load the reference for detailed instructions and
examples.
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:
-
AI Function usage and validation
- Trigger phrases:
AI_SENTIMENT,AI_CLASSIFY,AI_EXTRACT_ENTITIES,AI_ANSWER,AI_TRANSLATE,AI_CUSTOM_CLASSIFY_EXTENDED,AI_ENTAILMENT_EXTENDED,AI_FILL_MASK_EXTENDED,AI_COMPLETE_EXTENDED,AI_EXTRACT_EXTENDED,AI_CLASSIFY_EXTENDED,AI_ANSWER_EXTENDED,AI_TRANSLATE_EXTENDED,get_activation_sql,transformers sql function - Load:
references/transformers-extension.md
- Trigger phrases:
Multiple routes can apply. Load the reference before responding.
Prerequisites
-
Check whether the secure config store (SCS) contains the required database and BucketFS values. If values are missing, activate exasol-notebook-connector-config first.
-
Confirm that the SCS contains:
- 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
- DB values:
-
Confirm that the database user can activate the
PYTHON3_TElanguage alias for the TE SLC, create and execute the TE UDFs (defined withCREATE SCRIPT), and use the required BucketFS connection.
Security and Model Governance
Do not use a shared database account. Keep credentials and tokens in the supported secure configuration store; never put them in examples, source files, or shell history.
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.
- 11d ago Changed · +63 lines · -19 tokens per session f2790088358e
- 1mo ago Changed · +16 tokens per session 93257b316505
- 1mo 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 12d ago), licensed MIT. It adds 46 tokens to every session and 1,333 once invoked, about $0.0002 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 2026-08-31.
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