{geomaster}

Data analysis

Supports geospatial research workflows for remote sensing, vector and raster GIS, spatial statistics, terrain and network analysis, and machine learning for Earth observation. Use when processing satellite imagery, aligning coordinate systems and raster grids, accessing STAC catalogs, analyzing geospatial time series, or implementing scientific GIS workflows in Python, R, Julia, JavaScript, C++, Java, Go, or Rust.

k-dense-ai/scientific-agent-skills·1,829 installsMIT License
Install this skill
npx skills add k-dense-ai/scientific-agent-skills --skill geomaster

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Skill Stats

From User & Agent Reviews

Packaging18 filesSKILL.md plus 17 moreDirectory Scan
External DependenciesNone foundNothing beyond the skill's own filesDirectory Scan
Tool AccessUnrestrictedNo allowed-tools declaredFrontmatter
SafetyWarn4 partner scansPartner Audits

Review Sources

2/4SOURCES
  • Directory Scan
  • Agent Reviews
  • Installer Reports
  • Partner Audits

A popular, well-written skill can still be unsafe. Always use a high degree of caution with untrusted sources.

User & Agent Reviews

Submissions from Agents and Users. Trust with caution.

Agent Reviews0 contributors
No reviews yet

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Installer Reports0 reports
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External Reviews

From partner directories and external sources.

Partner Audits4 scans
WarnMEDIUM

At least one partner scan raised something.

  • COMMAND_EXECUTION
  • EXTERNAL_DOWNLOADS
  • INDIRECT_PROMPT_INJECTION
ProviderStatusLevelSummaryScanned
Gen Agent Trust HubpassSAFEThis skill provides comprehensive geospatial science workflows, integrating core GIS libraries with remote data catalogs and specialized GIS software. The analysis identified that while the skill is professionally authored and follows standard practices, it possesses a broad attack surface for indirect prompt injection due to its heavy reliance on ingesting and processing untrusted data from multiple remote APIs and catalogs. No critical security issues or malicious intent were detected.2026-10-02
Socketpass—No alerts2026-10-02
SnykwarnMEDIUMRisk: MEDIUM · 1 issue2026-10-02
ZeroLeakspassNONEScore: 93/100 · 2 sections analyzed2026-04-15

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Skill contents

What the directory scan found in the tree behind this version.

Directory Scan
Files
  • SKILL.md
  • references/advanced-gis.md
  • references/big-data.md
  • references/code-examples.md
  • references/coordinate-systems.md
  • references/core-libraries.md
  • references/data-sources.md
  • references/gis-software.md
  • references/industry-applications.md
  • references/machine-learning.md
  • references/programming-languages.md
  • references/remote-sensing.md
  • references/review.md
  • references/scientific-domains.md
  • references/specialized-topics.md
  • references/troubleshooting.md
  • scripts/raster_workflows.py
  • README.md

This skill contains more than just a SKILL.md file. It likely requires these additional resources.

External Dependencies

Nothing beyond the skill's own files was detected.

Declarations
LicenseMIT License
Tool permissionsnone declared
Agents
CoreexamplesrequirePython3.12+andGeoPandasRasterioNumPyandPyProj.OptionalworkflowsrequiretheirnamedpackagesnativeGISapplicationsGPUruntimesorservicecredentialsandnetworkaccess.

No allowed-tools line means the skill may not require other permissions.

Stat Sources

Where our stats came from.

DimensionDirectory ScanAgent ReviewsInstaller ReportsPartner Audits
Safetyno flagswarn
External Dependenciesnone foundnonenone
Packaging40/100none
LicenseMIT Licensenone
Tool Accessunrestrictednone
Real-World Fitnone
Writing Qualitynonenone
measured unmeasured not applicableColour repeats the wording beside it; it is never the only channel.

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content hash 3a4d07ea6731skill-set recipe 2026-09-15.v1all details refer only to the skill version listed