Agent skill

Udf Benchmark

by Kilo-Org in Kilo-Org/kilo-marketplace

Assists with benchmarking and profiling the performance of an Apache Spark UDF on the GPU.

ProprietaryAuto-check passedData & Analytics

Install Udf Benchmark

skills CLI
$ npx skills add Kilo-Org/kilo-marketplace --skill udf-benchmark -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Kilo-Org/kilo-marketplace udf-benchmark --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Kilo-Org/kilo-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/udf-benchmark .claude/skills/udf-benchmark && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
udf-benchmark
GitHub stars
190
Token cost
~802 tokens
SKILL.md length
272 words
Files
3
Skills in repo
85
Repo updated
First seen
Licence
Proprietary

At a glance

Assists with benchmarking and profiling the performance of an Apache Spark UDF on the GPU.

  • Works in 4 steps: Implement BenchUtils → Validate → Generate Data and Run Benchmarks → …
  • You have a CPU UDF and a RapidsUDF
  • SKILL.md covers Workflow, Prerequisites, Step 1: Implement BenchUtils and Step 2: Validate, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Udf Benchmark is an agent skill from Kilo-Org/kilo-marketplace. Assists with benchmarking and profiling the performance of an Apache Spark UDF on the GPU. This is step 3 of 3 in the UDF conversion workflow (udf-gen-test - udf-convert-to- - udf-benchmark). Use this skill when you have a CPU UDF and a RapidsUDF or SQL implementation, and need to benchmark the performance of the CPU UDF against the GPU implementation.

Its SKILL.md is about 800 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `CUDF_MICROBENCHMARKS.md`).

It sits in Data & Analytics, covering SQL. It works with SQL and Apache Spark. The repository describes itself as: Kilo Marketplace - A curated collection of Skills, MCP Servers, and Modes for enhancing AI agent capabilities across the Kilo ecosystem—including Kilo Code (VS Code extension)…

When your agent uses it

  • You have a CPU UDF and a RapidsUDF
  • SQL implementation
  • Need to benchmark the performance of the CPU UDF against the GPU implementation

Example prompts

  • “Use the udf-benchmark skill to assist with benchmarking and profiling the performance of an Apache Spark UDF on the GPU”
  • “/udf-benchmark”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Implement BenchUtils
  2. Validate
  3. Generate Data and Run Benchmarks
  4. cuDF Microbenchmarks

What it can do on your machine

Read from SKILL.md and the folder at commit ff51758. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Udf Benchmark loads about 802 tokens when it runs. Until then it costs about 93 tokens; SKILL.md has 272 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~93
When it runs · the whole SKILL.md, loaded when a task matches
~802

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Proprietary) doesn't allow us to republish the file, so here is its outline and opening line. It has 272 words (~802 tokens).

“Before making any edits, create a visible TODO checklist for every workflow step in this skill and keep it updated. Do not produce a final answer until every required checklist item is marked complete.”

— opening of SKILL.md by Kilo-Org, Proprietary
name
udf-benchmark
metadata.spdx-file-copyright-text
Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
metadata.category
data

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files in skills/udf-benchmark of Kilo-Org/kilo-marketplace.

  • SKILL.md
  • CUDF_MICROBENCHMARKS.md
  • LICENSE

Open the folder on GitHubat commit ff51758

Compare with similar skills

Udf Benchmark next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Udf Benchmark compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Udf Benchmark this skillKilo-Org/kilo-marketplace190—~802Automated safety check: PassProprietary
Datafusion Pythonapache/datafusion-python606—~7.8kAutomated safety check: PassApache-2.0
Optimizing Databricks SQLAltimateAI/data-engineering-skills128—~6.7kAutomated safety check: PassMIT
Spark Version UpgradeOpenHands/extensions158—~1.9kAutomated safety check: PassMIT
Find Hypertable Candidatestimescale/pg-aiguide1.9k1 repos~2.6kAutomated safety check: PassApache-2.0
SlKaelio/ktx1.6k—~2.7kAutomated safety check: PassApache-2.0

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Works with

Questions about Udf Benchmark

What does Udf Benchmark do?

Assists with benchmarking and profiling the performance of an Apache Spark UDF on the GPU. Udf Benchmark is an agent skill from Kilo-Org/kilo-marketplace. Assists with benchmarking and profiling the performance of an Apache Spark UDF on the GPU.

When should I use Udf Benchmark?

Udf Benchmark fits situations like: you have a CPU UDF and a RapidsUDF; SQL implementation; need to benchmark the performance of the CPU UDF against the GPU implementation.

How do I install Udf Benchmark in Claude Code?

Run `npx skills add Kilo-Org/kilo-marketplace --skill udf-benchmark -a claude-code`. Or copy the skill folder (skills/udf-benchmark in Kilo-Org/kilo-marketplace) into .claude/skills/udf-benchmark in your project. Claude Code loads it when a task matches its description.

How do I install Udf Benchmark in Codex?

Run `npx skills add Kilo-Org/kilo-marketplace --skill udf-benchmark -a codex`. Or copy the skill folder (skills/udf-benchmark in Kilo-Org/kilo-marketplace) into .agents/skills/udf-benchmark in your project. Codex loads it when a task matches its description.

Can I use Udf Benchmark in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Kilo-Org/kilo-marketplace --skill udf-benchmark -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/udf-benchmark, .gemini/skills/udf-benchmark, .github/skills/udf-benchmark and .opencode/skills/udf-benchmark in your project.

What does Udf Benchmark need to run?

SKILL.md names no scripts, command-line tools or credentials: Udf Benchmark is instructions for the agent only.

Does Udf Benchmark access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Udf Benchmark safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Udf Benchmark use?

Udf Benchmark carries a proprietary licence (from the LICENSE file in the skill folder). It is published on GitHub, but it is not open source: read the licence file before using or sharing it.

How many tokens does Udf Benchmark use?

About 802 tokens (SKILL.md is roughly 3.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Udf Benchmark?

Skills that share tags, products or a category with Udf Benchmark: Datafusion Python (apache/datafusion-python, 606 stars), Optimizing Databricks SQL (AltimateAI/data-engineering-skills, 128 stars), Spark Version Upgrade (OpenHands/extensions, 158 stars) and Find Hypertable Candidates (timescale/pg-aiguide, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Udf Benchmark?

Kilo-Org (a GitHub organization) maintains it in Kilo-Org/kilo-marketplace, which has 190 GitHub stars. The repository holds 85 skills in this directory. The repository was last updated on September 28, 2026.

Source: Kilo-Org/kilo-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.