arrow-columnar

arrow-columnar is a skill for Claude Code, Codex from sparq-org/sparq. It costs 88 tokens per session (1,412 once invoked), scanned A, original, MIT.

An optional converter for SPARQL SELECT results into common table-oriented data formats. It preserves each RDF value’s kind, text, datatype, language, and direction in Apache Arrow tables and can also produce Parquet, Arrow IPC, or CSV bytes.

In plain words
What is it for?
Use it to import or export query results as Arrow RecordBatches, Parquet files in memory, Arrow IPC streams, or flattened CSV data, depending on the features enabled.
Why use it?
It makes graph query results usable by analytics, dataframe, transport, and storage tools without losing whether a value is an IRI, literal, or another RDF term.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the sparq plugin — 55 skills, 20 agents, 2 hooks shipped together

Good fit Use it to import or export query results as Arrow RecordBatches, Parquet files in memory, Arrow IPC streams, or flattened CSV data, depending on the features enabled.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sparq-org/sparq/arrow-columnar
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.

Any agent
npx skills add sparq-org/sparq --skill arrow-columnar
Clone the repo
git clone --depth 1 https://github.com/sparq-org/sparq

Made for: Claude Code, Codex.

Or install sparq, the plugin that ships this one along with the rest of its 55 skills, 20 agents, 2 hooks.

Wrote 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.

agentmods badge for arrow-columnar

README.md
[![agentmods](https://agentmods.dev/badge/skills/sparq-org/sparq/arrow-columnar/github.svg)](https://agentmods.dev/skills/sparq-org/sparq/arrow-columnar)
Your own site
<a href="https://agentmods.dev/skills/sparq-org/sparq/arrow-columnar"><img src="https://agentmods.dev/badge/skills/sparq-org/sparq/arrow-columnar/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.

agentmods 80×15 button for arrow-columnar

Your own site · 80×15
<a href="https://agentmods.dev/skills/sparq-org/sparq/arrow-columnar"><img src="https://agentmods.dev/badge/skills/sparq-org/sparq/arrow-columnar.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 88 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,412 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00088 $0.01412
Opus 5 $0.00044 $0.00706
Sonnet 5 $0.00018 $0.00282
Haiku 4.5 $0.00009 $0.00141

Measured 9d ago against content hash 1c442240af66, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

arrow-columnar 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 9d 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.

skills/arrow-columnar/SKILL.md · 130 lines

How it starts

The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.

sparq-arrow — Arrow, Parquet, IPC, and CSV interop

Use sparq-arrow when a Rust application needs a faithful columnar representation of a sparq_engine::QueryResult. The crate maps every SELECT variable to one nullable Arrow Struct column with five nullable UTF-8 children: kind, value, datatype, language, and direction.

Choose a feature

  • Enable arrow for to_record_batch, from_record_batch, term_schema, and term_struct_type.
  • Enable parquet for to_parquet_bytes, from_parquet_bytes, parquet_variables_from_bytes, and parquet_row_count_from_bytes; it implies arrow.
  • Enable ipc for to_ipc_bytes, from_ipc_bytes, and ipc_variables_from_bytes; it implies arrow.
  • Enable csv for to_csv_bytes, from_csv_bytes, and csv_variables_from_bytes; it implies arrow and adds no further dependencies (the RFC 4180 serializer and parser are hand-rolled over std).
  • Leave all features disabled to retain only the dependency-free field-name constants.

All features are default-OFF. The crate is a leaf capability crate, so no Arrow container dependency enters sparq-core, sparq-engine, or the WebAssembly bundle.

Use a RecordBatch

use sparq_arrow::{from_record_batch, to_record_batch};

let batch = to_record_batch(&result)?;
let restored = from_record_batch(&batch)?;
assert_eq!(restored.vars, result.vars);
assert_eq!(restored.rows, result.rows);
# Ok::<(), Box<dyn std::error::Error>>(())

Add the feature with cargo add sparq-arrow --features arrow.

Use Parquet bytes

use sparq_arrow::{
    from_parquet_bytes, parquet_row_count_from_bytes, parquet_variables_from_bytes,
    to_parquet_bytes,
};

let bytes: Vec<u8> = to_parquet_bytes(&result)?;
let variables = parquet_variables_from_bytes(&bytes)?;
let row_count = parquet_row_count_from_bytes(&bytes)?;
let restored = from_parquet_bytes(&bytes)?;
assert_eq!(variables, result.vars);
assert_eq!(row_count, result.rows.len());
assert_eq!(restored.vars, result.vars);
assert_eq!(restored.rows, result.rows);
# Ok::<(), Box<dyn std::error::Error>>(())

Read the full file on GitHub · 130 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 9d ago First seen · 130 lines · 88 tokens per session scan A 1c442240af66

Subscribe to this mod's changes

arrow-columnar is a skill published in the GitHub repository sparq-org/sparq (12 stars, last pushed today), licensed MIT. It adds 88 tokens to every session and 1,412 once invoked, about $0.0004 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 2026-08-31.

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