check-upstream

An audit guide for checking whether a Python project exposes features from Apache DataFusion, a data-processing engine, through its Python interface. It compares the complete upstream feature set with the APIs available to Python users.

In plain words
What is it for?
Use it when checking API coverage, looking for missing DataFusion functions or operations, reviewing SessionContext methods and FFI types, or preparing additions to the Python bindings.
Why use it?
It helps find missing or overlooked Python bindings, including older gaps that may not be mentioned in recent release notes. It also avoids falsely reporting features that already work through aliases or the public Python API.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/apache/datafusion-python/check-upstream
Any agent
npx skills add apache/datafusion-python --skill check-upstream
Clone the repo
git clone --depth 1 https://github.com/apache/datafusion-python

Made for: Claude Code, Codex.

Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,624 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00049 $0.05624
Opus 5 $0.00024 $0.02812
Sonnet 5 $0.00010 $0.01125
Haiku 4.5 $0.00005 $0.00562

Measured yesterday against content hash 70d853ec61d9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

check-upstream 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 yesterday.

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.

.ai/skills/check-upstream/SKILL.md · 478 lines

How it starts

The opening of the file, as written. The whole thing — 478 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Check Upstream DataFusion Feature Coverage

You are auditing the datafusion-python project to find features from the upstream Apache DataFusion Rust library that are not yet exposed in this Python binding project. Your goal is to identify gaps and, if asked, implement the missing bindings.

IMPORTANT: The Python API is the source of truth for coverage. A function or method is considered "exposed" if it exists in the Python API (e.g., python/datafusion/functions.py), even if there is no corresponding entry in the Rust bindings. Many upstream functions are aliases of other functions — the Python layer can expose these aliases by calling a different underlying Rust binding. Do NOT report a function as missing if it appears in the Python __all__ list and has a working implementation, regardless of whether a matching #[pyfunction] exists in Rust.

IMPORTANT: audit the total upstream surface, not the delta since the last pin. Gaps accumulate across syncs. A patch-release bump with a "bug fixes only" changelog does not mean there is nothing to find — pre-existing gaps from earlier majors still need to be surfaced. Always run the full comparison.

Compile-Signal Triggers

Read the full file on GitHub · 478 lines

Changes

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.

  1. yesterday First seen · 478 lines · 0 tokens per session scan A 70d853ec61d9

Subscribe to this mod's changes

check-upstream is a skill published in the GitHub repository apache/datafusion-python (598 stars, last pushed 2d ago), licensed Apache-2.0. It adds 49 tokens to every session and 5,624 once invoked, about $0.0002 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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