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 BauplanLabs/bauplan-skills --skill bauplan-explore-datagit clone --depth 1 https://github.com/BauplanLabs/bauplan-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/bauplanlabs/bauplan-skills/bauplan-explore-data)<a href="https://agentmods.dev/skills/bauplanlabs/bauplan-skills/bauplan-explore-data"><img src="https://agentmods.dev/badge/skills/bauplanlabs/bauplan-skills/bauplan-explore-data.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00058 | $0.03550 |
| Opus 5 | $0.00029 | $0.01775 |
| Sonnet 5 | $0.00012 | $0.00710 |
| Haiku 4.5 | $0.00006 | $0.00355 |
Grade A, and why
bauplan-explore-data 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 — 395 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Exploring Data in Bauplan
Explore and understand data stored in a Bauplan lakehouse using the Python SDK. This skill is read-only. It must not create tables, import data, run pipelines, or merge branches.
If the user asks for any write operation, stop and suggest switching to a write-capable skill (bauplan-data-pipeline or bauplan-safe-ingestion).
Before You Start
Ask the user which branch or ref to explore. All reads must be scoped to an explicit ref. Never rely on implicit defaults.
Environment Setup
Before writing any Python, check whether the project uses uv (look for pyproject.toml or uv.lock). If so, use uv run python to execute scripts and uv add to install packages. Otherwise, use the system python and pip install.
Ensure the required packages are installed:
bauplan(the Bauplan Python SDK — required)polars(preferred for DataFrame operations — zero-copy Arrow interop)
Do not use pandas. Bauplan's client.query() returns a PyArrow table directly. Polars reads Arrow natively with zero-copy (pl.from_arrow(table)). Pandas requires a full data copy and is slower and more memory-intensive.
Required Deliverables
Every exploration MUST produce a summary.md file in the project root. This file is written in Phase 4. If you reach the end of Phase 3, you MUST proceed to Phase 4 and write summary.md. Do not end the conversation after Phase 3. The exploration is incomplete without summary.md.
Phased Execution (Critical)
This skill runs in four phases. Each phase is a separate bash execution of data_explorer.py. After each phase, report findings in the chat before proceeding to the next phase. The user must see incremental progress throughout the exploration.
The phases are:
| Phase | Name | Typical duration | Gate |
|---|---|---|---|
| 1 | Discovery | <30s | Report table list. Ask which tables to explore. |
| 2 | Schema + Semantics | 1-2 min | Report schemas and table descriptions. Proceed automatically. |
| 3 | Profiling + Anomalies | 1-2 min per table | Announce each table before profiling, report findings after. |
| 4 | Joins + Summary | <1 min | Write summary.md. Present to user. |
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 First seen · 395 lines · 58 tokens per session scan A b6904f3a45d4
bauplan-explore-data is a skill published in the GitHub repository BauplanLabs/bauplan-skills (16 stars, last pushed 5d ago), licensed MIT. It adds 58 tokens to every session and 3,550 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 2026-08-30.
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