Apache DataFusion Python Bindings is a Python library connecting applications to DataFusion, an in-memory query engine built on Apache Arrow. It is for building Python data systems that query CSV, Parquet, and JSON data with SQL or DataFrames, optimize those queries, run Python code, and exchange data with other DataFrame libraries. The catalogue add-ons support development workflows around these Python bindings.
Borrowing it
Nothing to install: this file belongs to apache/datafusion-python. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/apache/datafusion-python/main/.ai/skills/audit-skill-md/SKILL.mdgit clone --depth 1 https://github.com/apache/datafusion-pythonWrote 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/apache/datafusion-python/audit-skill-md)<a href="https://agentmods.dev/skills/apache/datafusion-python/audit-skill-md"><img src="https://agentmods.dev/badge/skills/apache/datafusion-python/audit-skill-md/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/apache/datafusion-python/audit-skill-md"><img src="https://agentmods.dev/badge/skills/apache/datafusion-python/audit-skill-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 6 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 3 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 26 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 29 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 76 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 232 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 257 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00000 | $0.03134 |
| Opus 5.5 | $0.00000 | $0.01254 |
| Sonnet 5.5 | $0.00000 | $0.00627 |
| Haiku 4.5 | $0.00000 | $0.00313 |
Grade A, and why
audit-skill-md 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 2mo 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 — 291 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Audit skills/datafusion_python/SKILL.md
You are auditing the user-facing skill at
skills/datafusion_python/SKILL.md
against the current state of the Python API. The skill is the source of truth
for how AI coding assistants are taught to write datafusion-python code, so
it must match what the project actually ships. This skill identifies gaps
caused by upstream syncs, refactors, or renames, and (if asked) applies the
edits directly to SKILL.md.
The skill is most usefully run after the check-upstream step of an
upstream sync (see dev/release/upstream-sync.md) — once any new APIs are
exposed, this skill makes sure they get documented.
What the skill covers
The user-facing SKILL.md documents these public surfaces. This list is not
exhaustive — if a new top-level area is added (e.g., a new Catalog API
exposed at the package root), include it.
| Surface | Module | Sections in SKILL.md |
|---|---|---|
SessionContext |
python/datafusion/context.py |
"Data Loading" |
DataFrame |
python/datafusion/dataframe.py |
"DataFrame Operations Quick Reference", "Executing and Collecting Results", "Idiomatic Patterns" |
Expr |
python/datafusion/expr.py |
"Expression Building", "Common Pitfalls" |
functions |
python/datafusion/functions/__init__.py |
"Available Functions (Categorized)", scattered uses throughout |
functions.spark |
python/datafusion/functions/spark.py |
"Available Functions (Categorized)" → "Spark-Compatible Functions" subsection |
Top-level helpers (col, lit, WindowFrame, ...) |
python/datafusion/__init__.py |
"Import Conventions", "Core Abstractions" |
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.
- 2mo ago First seen · 291 lines · 0 tokens per session scan A ce829783037b
audit-skill-md is a skill published in the GitHub repository apache/datafusion-python (610 stars, last pushed 4d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 3,134 tokens. 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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