Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/exasol-labs/exasol-agent-skillsnpx agentmods add commands/exasol-labs/exasol-agent-skills/bucketfsWrote 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/commands/exasol-labs/exasol-agent-skills/bucketfs)<a href="https://agentmods.dev/commands/exasol-labs/exasol-agent-skills/bucketfs"><img src="https://agentmods.dev/badge/commands/exasol-labs/exasol-agent-skills/bucketfs/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/commands/exasol-labs/exasol-agent-skills/bucketfs"><img src="https://agentmods.dev/badge/commands/exasol-labs/exasol-agent-skills/bucketfs.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 | $0.00013 | $0.00222 |
| Opus 5.5 | $0.00005 | $0.00089 |
| Sonnet 5.5 | $0.00003 | $0.00044 |
| Haiku 4.5 | $0.00001 | $0.00022 |
Grade A, and why
bucketfs 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 1mo 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.
What it actually says
/bucketfs Command
Usage
/bucketfs <BucketFS task or question>
Behavior
- Treat the complete request as an Exasol BucketFS request and activate the shared top-level exasol skill.
- Apply the router's precedence and safety rules, then follow exasol-bucketfs and its connection, command, validation, and safety guidance.
- Never ask the user to paste passwords, tokens, or connection secrets into the conversation. If credentials are missing, direct the user to enter them locally through the documented exapump profile workflow.
- Show the exact BucketFS target and obtain confirmation before deleting or overwriting data.
Examples
/bucketfs list all files in the bucket
/bucketfs upload my_model.pkl to models/my_model.pkl
/bucketfs download jars/library.jar to ./lib/
/bucketfs delete models/old_model.pkl
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.
- 1mo ago Changed · -2 lines · +2 tokens per session b45f9efa0d4d
- 1mo ago First seen · 36 lines · 11 tokens per session scan A 4341254ff81e
bucketfs is a command published in the GitHub repository exasol-labs/exasol-agent-skills (10 stars, last pushed 12d ago), licensed MIT. It adds 13 tokens to every session and 222 once invoked, about $0.0001 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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