Feather

v1.0.0

Apache Feather/Arrow IPC format reference. V1 vs V2 format differences, pyarrow.feather read/write with compression, R arrow package integration, Arrow type...

⭐ 0· 132·1 current·1 all-time

by@bytesagain1

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for bytesagain1/feather.

Previewing Install & Setup.

Prompt PreviewInstall & Setup

Install the skill "Feather" (bytesagain1/feather) from ClawHub.
Skill page: https://clawhub.ai/bytesagain1/feather
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install feather

ClawHub CLI

Package manager switcher

npx clawhub@latest install feather

Security Scan

VirusTotal

Benign

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OpenClaw

Benign

high confidence

✓

Purpose & Capability

Name, description, SKILL.md and included script all focus on Feather/Arrow format, pyarrow and R arrow usage, benchmarks and best practices. There are no unexpected credentials, binaries, or unrelated capabilities requested.

✓

Instruction Scope

The runtime instructions and the bundled script only present documentation, usage examples, and CLI-like help text. They do not instruct the agent to read arbitrary system files, access environment variables, or transmit data to external endpoints.

✓

Install Mechanism

No install spec is present (instruction-only). The included shell script is documentation-only and does not download or execute remote code. This low-risk distribution method is proportionate for a reference skill.

✓

Credentials

The skill requires no environment variables, no credentials, and references only typical library installs (e.g., pip install pyarrow, install.packages('arrow')) that are appropriate for the documented examples.

✓

Persistence & Privilege

always is false and the skill does not request elevated or persistent privileges, nor does it modify other skills or system-wide configurations. Autonomous invocation is allowed but consistent with normal skill behavior.

Assessment

This skill is a read-only reference and appears safe: it only contains documentation, code examples, and a shell script that prints help text. It does not request credentials or perform network downloads. If you expect the agent to actually run the example commands (pip install, R install.packages, or pip/OS-level commands), be aware those will execute on the host/environment where the agent runs — the skill itself will not install dependencies. Also note a truncated section in the SKILL.md (trailing ellipsis) — functional behavior is documentation-only, but if you need executable tooling, ensure required libraries are installed from trusted package sources before running examples.

Like a lobster shell, security has layers — review code before you run it.

latestvk972dag4dszg17yqab2s94m8bx83hjss

132downloads

0stars

1versions

Updated 1mo ago

v1.0.0

MIT-0

Feather

Apache Feather/Arrow IPC format reference — fast columnar DataFrame I/O.

Commands

Command	Description
`intro`	Feather overview, V1 vs V2, key properties
`python`	pyarrow.feather read/write, benchmarks
`r-lang`	R arrow package, Python↔R interop
`schema`	Arrow types, nested types, metadata
`vs-parquet`	Speed vs compression tradeoffs
`pandas`	pd.read_feather, caching patterns
`compression`	LZ4/ZSTD options, when to use each
`best-practices`	Pipeline patterns, file size guidelines

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