Request to index iParq ARD resource in GitHub Agent Finder

[MiguelElGallo]

🏷️ Discussion Type

Product Feedback

💬 Feature/Topic Area

Copilot in GitHub

Body

Request

Please consider adding iParq Parquet Inspector to GitHub’s curated Agent Finder catalog. This resubmits the request from closed discussion #202467 through the required GitHub UI template. The resource is published using the Agentic Resource Discovery (ARD) specification and is ready for indexing.

Resource

• ARD catalog: https://miguelelgallo.github.io/iparq/.well-known/ai-catalog.json
• ARD identifier: urn:air:github.com:MiguelElGallo:iparq:parquet-inspector
• Agent Skill: https://raw.githubusercontent.com/MiguelElGallo/iparq/main/.agents/skills/iparq-parquet-inspector/SKILL.md
• Source repository: https://github.com/MiguelElGallo/iparq
• Landing page: https://miguelelgallo.github.io/iparq/
• PyPI package: https://pypi.org/project/iparq/

What it provides

iParq is an open-source, read-only CLI and Agent Skill for inspecting Parquet metadata, compression, encodings, physical and logical types, row groups, statistics, indexes, dictionary pages, Bloom filters, and storage sizes. It runs locally without uploading Parquet files and supports machine-readable JSON output.

Representative discovery queries include:

• “Inspect the compression and encodings used in this Parquet file.”
• “Does this Parquet file contain Bloom filters or page indexes?”
• “Compare storage metadata across these Parquet files.”

Validation

• The catalog uses ARD specVersion 1.0.
• The live catalog and Skill both return HTTP 200 over HTTPS.
• The catalog is served as application/json with Access-Control-Allow-Origin: *.
• The published catalog passed the ARD conformance validator with no errors or warnings.

If catalog additions are handled elsewhere, could you please point us to the publisher-submission process for GitHub Agent Finder?

[github-actions[bot]]

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Thank you once again for your contribution to making GitHub even better! We're grateful for your ongoing support and collaboration in shaping the future of our platform. ⭐

[MiguelElGallo]

Canonical-domain update: iParq is now published from its own domain.

• ARD catalog: https://iparq.dev/.well-known/ai-catalog.json
• ARD identifier: urn:air:iparq.dev:skill:parquet-inspector
• Landing page: https://iparq.dev/
• Documentation: https://iparq.dev/docs/
• Agent Skill: https://raw.githubusercontent.com/MiguelElGallo/iparq/main/.agents/skills/iparq-parquet-inspector/SKILL.md
• PyPI package: https://pypi.org/project/iparq/

The catalog responds over HTTPS with application/json, permissive CORS, and ARD specVersion 1.0. The resource remains a local, read-only Parquet inspector with machine-readable JSON output; inspected files are not uploaded.