clio-data
v1.0.0by iowarp · author: IoWarp Team
clio-data is an Agent Plugin published by iowarp. It packages 2 skills. We fetched the plugin.json from GitHub on 2026-11-07 and checked it against the official Agent Plugins 1.0.0 schema.
The clio-data agent's plugin: its mission, assess-data-quality (what a variable states, checks, comparisons, visual checks) and convert-scientific-data (the HDF5/ADIOS2 to Parquet dtype map, skip-or-ask rules, and a bundled converter that reads back and verifies rows, nulls, NaNs, dtypes and per-column checksums).
- Skills
- 2
- MCP servers
- 0
- Stars
- 0
- License
- BSD-3-Clause
- Repo created
- 2026-05-28
- Last pushed
- 2026-11-07
- Publisher type
- Organization
- Version
- 1.0.0
Links
Skills · 2
- assess-data-quality
- convert-scientific-data
Category
Other. Assigned by this directory. Agent Plugins 1.0.0 has no category field, so no manifest declares one.
Keywords
hdf5 · adios2 · parquet · conversion · data-quality
Related by publisher and keywords
Inspect ADIOS2 BP4 and BP5 output through clio-kit's adios MCP server (list, variables, steps, attributes, one variable at one step), with the adios2 skill: directory layout, steps and variables, shape/start/count, global and local arrays, blocks, attributes, the Python FileReader and Stream APIs, bpls, engines and operators.
General habits for unfamiliar datasets: read the self-description, inventory and audit tables with bundled scripts (sentinels, empty and near-duplicate columns, flags against data, join keys, declared against actual counts), keep an experiment card in the workspace, audit in a child agent, and state evidence plainly.
Open and inspect HDF5 files through clio-kit's hdf5 MCP server, with the HDF5 team's `hdf5` skill: how to use the tools with bounded reads, and reference guides on layout, chunking, filters, cloud and parallel access, drivers and clio-core ingest.
Parquet through clio-kit's parquet MCP server (single-file summaries, slices, previews and aggregates) and the parquet skill: footer, row groups and statistics, physical and logical types, hive partitioning, bounded scans with pyarrow or DuckDB, and write options.
Decides the engineering approach for an intent in an interactive session: investigates, proposes two or three genuinely different approaches with trade-offs, recommends, lets the user decide, and writes the decision doc. Not a task-by-task plan; use sprint-plan. Not a multi-perspective debate; use design-council. Not product intent; use product-intent. Not a typed implementation handoff; use tech-spec.
Searches arXiv, summarizes or compares papers, and builds a compact literature survey as citation-ready, source-linked paper cards. Prefer the Researcher shadow agent for noisy multi-paper retrieval.
[](https://agentpluginsdirectory.com/plugins/clio-data)✓ Verified . We fetched the manifest from GitHub and checked it against the official Agent Plugins 1.0.0 schema at agent-plugins.org.