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bytesagain3

Arrow

by bytesagain3 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
137
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0
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1
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Install in OpenClaw
/install arrow
Description
Apache Arrow in-memory columnar format reference. Zero-copy data exchange, columnar memory layout with validity bitmaps, pyarrow Table/RecordBatch/compute, A...
README (SKILL.md)

Apache Arrow

Apache Arrow in-memory columnar format reference — zero-copy, cross-language.

Commands

Command Description
intro Arrow overview, zero-copy, architecture
format Columnar layout, buffers, record batches
python pyarrow arrays, tables, compute functions
flight Arrow Flight RPC server/client
dataset Dataset API, partitioning, pushdown
integration pandas/DuckDB/Polars/Spark/R interop
gandiva LLVM expression compiler
ecosystem Implementations, ADBC, projects
Usage Guidance
This skill is a documentation/reference for Apache Arrow and appears coherent and non-malicious. Before running any example code, review it: some examples start a network service (Arrow Flight binding to 0.0.0.0) or read/write files — only run those in a safe, controlled environment. Also ensure you install pyarrow (or the appropriate language package) from official sources if you intend to execute the examples. If you need the skill to perform networked operations automatically, double-check any future changes to the skill for unexpected external endpoints or credential requests.
Capability Analysis
Type: OpenClaw Skill Name: arrow Version: 1.0.0 The 'arrow' skill bundle is a purely informational reference tool for the Apache Arrow columnar memory format. The shell script (scripts/script.sh) and documentation (SKILL.md) provide educational content and code snippets for various languages (Python, R, Rust, etc.) without executing any risky commands, accessing sensitive data, or making network calls.
Capability Assessment
Purpose & Capability
Name/description match the provided content: the SKILL.md and script are documentation and examples for Apache Arrow (pyarrow, Flight, Dataset, integrations). There are no unrelated environment variables, binaries, or config paths requested.
Instruction Scope
SKILL.md contains explanatory text and code examples only. The examples include running a Flight server (bind to 0.0.0.0) and reading/writing files, but these are presented as examples — the instructions do not direct the agent to read arbitrary host files, exfiltrate data, or call hidden endpoints.
Install Mechanism
No install spec is present and the skill appears to be instruction/content-only plus a shell script that prints help and docs. Nothing is downloaded or extracted during install.
Credentials
The skill does not declare or require any environment variables, credentials, or config paths. The documented code examples do not reference secret env vars.
Persistence & Privilege
always is false and the skill does not request persistent/system-level privileges or attempt to modify other skills or global agent settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install arrow
  3. After installation, invoke the skill by name or use /arrow
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
publish v1.0.0
Metadata
Slug arrow
Version 1.0.0
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Arrow?

Apache Arrow in-memory columnar format reference. Zero-copy data exchange, columnar memory layout with validity bitmaps, pyarrow Table/RecordBatch/compute, A... It is an AI Agent Skill for Claude Code / OpenClaw, with 137 downloads so far.

How do I install Arrow?

Run "/install arrow" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Arrow free?

Yes, Arrow is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Arrow support?

Arrow is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Arrow?

It is built and maintained by bytesagain3 (@bytesagain3); the current version is v1.0.0.

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