core

v0.5.0

Foundation: earth science data formats, statistics, uncertainty quantification, cartography, quality control, reproducibility, analysis review.

Claude CodeAgent Plugins12 Skills2 MCP serversStreamable HTTPstdio

By Open Science Pillars CommunityLicense: Apache-2.00 GitHub starsUpdated last week

Directory evidence

Runtimes: Claude Code and Agent Plugins
Parsed components: 14 skill or MCP entries
Source updated: Sep 12, 2026
Manifest status: Canonical path parsed

The directory validates manifest shape and source location. It does not execute the plugin or provide a security endorsement. Review the indexing methodology →

Install core for Claude Code

Installs for the current user

claude plugin marketplace add IchenDEV/agent-plugin-mkt
claude plugin marketplace update agent-plugin-marketplace
claude plugin install core-6@agent-plugin-marketplace

Paste and run these commands in a terminal with Claude Code. They add and refresh the PluginsMP catalog, then install this plugin.

The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.

Get the source manually

$ git clone https://github.com/open-science-pillars/core

Clone the source repository, then follow its setup instructions to add the plugin to a compatible client. The repository root is the plugin root.

Plugin files

core/

├── .claude-plugin/plugin.json
├── plugin.json
├── skills/analysis-review/SKILL.md
├── skills/basic-statistics/SKILL.md
├── skills/cartography/SKILL.md
├── skills/consult-knowledge/SKILL.md
├── skills/data-formats/SKILL.md
├── skills/discover-data/SKILL.md
├── skills/quality-control/SKILL.md
├── skills/report/SKILL.md
├── skills/reproducibility/SKILL.md
├── skills/start/SKILL.md
├── skills/uncertainty-quantification/SKILL.md
├── skills/xarray-fundamentals/SKILL.md
└── .mcp.json

Included Skills12

analysis-reviewskills/analysis-review/SKILL.md

Post-computation sanity checks: area weighting, autocorrelation in trends, baselines, projections, budget grid, uncertainty reported, smell-test ranges.

basic-statisticsskills/basic-statistics/SKILL.md

Climatology, anomalies, Mann-Kendall and Sen's slope trends, composites, percentile extremes, calendar handling for climate data.

cartographyskills/cartography/SKILL.md

Publication-quality maps with cartopy: projections, uniform colormaps, stippling and uncertainty visualization, multi-panel layouts, Hovmoller.

consult-knowledgeskills/consult-knowledge/SKILL.md

Consult installed knowledge bundles before acting on a dataset: how to find every bundle, which directories to search, how to cite a match and voice its status, which concept wins on conflict.

data-formatsskills/data-formats/SKILL.md

Open and inspect NetCDF, HDF4/5, GeoTIFF, Zarr, GRIB, CSV earth science files with xarray, rioxarray, cfgrib; fill values, time decoding, CRS, chunking.

discover-dataskills/discover-data/SKILL.md

Find earth science datasets for a research need: parse to parameters, search Earthdata, compare candidates, surface knowledge-bundle gotchas.

quality-controlskills/quality-control/SKILL.md

QC for geophysical data: completeness, physical-bounds checks, fill-value audit, satellite QA flag decoding, discontinuity detection.

reportskills/report/SKILL.md

Assemble an analysis report: Data Description, Methods, Results with uncertainty statements, Quality Notes, Provenance citing knowledge concepts, Reproducibility.

reproducibilityskills/reproducibility/SKILL.md

CF-compliant metadata, dataset DOIs and citations, provenance history attributes, FAIR outputs, package version capture.

startskills/start/SKILL.md

Session orientation: list installed science plugins, connector status, local config, available workflow skills, one suggested next step.

uncertainty-quantificationskills/uncertainty-quantification/SKILL.md

Uncertainty for results: error propagation, bootstrap and block-bootstrap CIs, ensemble spread, conformal prediction, native product uncertainty fields, reporting rules.

xarray-fundamentalsskills/xarray-fundamentals/SKILL.md

xarray selection, resampling, groupby, area-weighted means, Dask chunking, cftime calendars for gridded earth science data.

MCP servers2

earthdataStreamable HTTP

url: https://cmr.earthdata.nasa.gov/mcp/v1

observationsstdio

command: uv
args: run ${CLAUDE_PLUGIN_ROOT}/connectors/observations_mcp.py

MCP configuration uses runtime-provided plugin path placeholders such as ${PLUGIN_ROOT} or ${CLAUDE_PLUGIN_ROOT}. Review the manifest for the runtime-specific expansion rules.

Plugin manifests2

.claude-plugin/plugin.json

{
  "name": "core",
  "version": "0.5.0",
  "description": "Foundation: earth science data formats, statistics, uncertainty quantification, cartography, quality control, reproducibility, analysis review.",
  "author": {
    "name": "Open Science Pillars Community"
  },
  "homepage": "https://github.com/open-science-pillars/core",
  "license": "Apache-2.0",
  "keywords": [
    "netcdf",
    "xarray",
    "cartopy",
    "geotiff",
    "zarr",
    "climate",
    "geospatial",
    "qc",
    "uncertainty",
    "reproducibility"
  ]
}

plugin.json

{
  "$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
  "name": "core",
  "version": "0.5.0",
  "description": "Foundation: earth science data formats, statistics, uncertainty quantification, cartography, quality control, reproducibility, analysis review.",
  "author": {
    "name": "Open Science Pillars Community"
  },
  "homepage": "https://github.com/open-science-pillars/core",
  "repository": "https://github.com/open-science-pillars/core",
  "license": "Apache-2.0",
  "keywords": [
    "netcdf",
    "xarray",
    "cartopy",
    "geotiff",
    "zarr",
    "climate",
    "geospatial",
    "qc",
    "uncertainty",
    "reproducibility"
  ],
  "extensions": {
    "io.github.open-science-pillars": {
      "kind": "foundation",
      "status": "available",
      "spheres": [],
      "primary_sphere": null,
      "discipline": null,
      "package_type": "foundation",
      "dependencies": {
        "capabilities": [],
        "knowledge": []
      }
    }
  }
}

For maintainers

If you maintain this plugin, link to this source-backed listing from your README so users can review its manifest and indexed components.

[core on Agent Plugins Marketplace](https://pluginsmp.com/plugins/core-6)