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-text-aigit 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-text-ai)<a href="https://agentmods.dev/skills/exasol-labs/exasol-agent-skills/exasol-text-ai"><img src="https://agentmods.dev/badge/skills/exasol-labs/exasol-agent-skills/exasol-text-ai/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-text-ai"><img src="https://agentmods.dev/badge/skills/exasol-labs/exasol-agent-skills/exasol-text-ai.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 | $0.00106 | $0.00896 |
| Opus 5 | $0.00053 | $0.00448 |
| Sonnet 5 | $0.00021 | $0.00179 |
| Haiku 4.5 | $0.00011 | $0.00090 |
Grade A, and why
exasol-text-ai 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.
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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Exasol Text AI Extension Skill
Trigger when the user mentions Text AI Extension, TXAIE, deploy_license, initialize_text_ai_extension, Extraction, named entity extraction, zero-shot classification, feature extraction, StandardExtractor, TopicClassifierExtractor, CO_OCCURRENCE, TXAIE_AUDIT_LOG, or PYTHON3_TXAIE.
Purpose
This skill routes notebook-connector Text AI Extension tasks to the reference material that covers license deployment, TXAIE setup, extraction workflows, and validation.
Use this skill after notebook-connector configuration already exists in the
secure config store. If the required DB or BucketFS values are still missing,
activate exasol-notebook-connector-config first. The schema name saved in db_schema must
also exist as a real schema in Exasol before the Text AI setup or extraction
flow can succeed.
Routing Algorithm
-
License and extension setup
- Trigger phrases:
deploy_license,initialize_text_ai_extension,txaie - Load:
references/text-ai-extension.md
- Trigger phrases:
-
Extraction workflows and validation
- Trigger phrases:
Extraction,NamedEntityExtractor,PipelineExtractor,BranchExtractor,StandardExtractor,TopicClassifierExtractor,feature extraction,zero-shot classification,TOPIC_CLASSIFIER_VIEW,TOPICS_VIEW,NAMED_ENTITY_VIEW,KEYWORD_SEARCH_VIEW,CO_OCCURRENCE,TXAIE_AUDIT_LOG - Load:
references/text-ai-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_schema is only a stored configuration value. Create that schema in Exasol
before running the Text AI flow if it does not already exist.
Validation
Validate setup with the reference flow after loading
references/text-ai-extension.md.
Success signals:
- license deployment completes
- initialization completes and the language/container setup is persisted
- a small extraction run writes output rows without missing-license or missing-language errors
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.
- 8d ago Changed · +57 tokens per session f08505547d70
- 12d ago First seen · 73 lines · 49 tokens per session scan A 9e1a2591226d
exasol-text-ai is a skill published in the GitHub repository exasol-labs/exasol-agent-skills (10 stars, last pushed 8d ago), licensed MIT. It adds 106 tokens to every session and 896 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.
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