Enterprise DNAEnterprise DNA

Skills

training-check

by GRIND-Lab-Core

Fully automatic AI research agent for Geoscientists, Remote Sensing researchers, and GIScientists.

Our verdict

Not reviewed yet

We have not reviewed training-check yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About training-check

Fully automatic AI research agent for Geoscientists, Remote Sensing researchers, and GIScientists. Features harness engineering, GeoBenchmark (OLS/GWR/MGWR), journal templates, and MCP servers.

Best for

Geoscientists and remote sensing researchers seeking automated research assistance.

Use cases

  • Automate geospatial research workflows and model benchmarking
  • Generate journal-ready templates for academic publications
  • Integrate with MCP servers for extended tool connectivity

Notes

108 stars on GitHub. Last updated 2026-05-06.

Indexed from github-skill-md. Verified against the live GitHub repo.

Pros

  • Fully automatic operation reduces manual research effort
  • Includes specialized geospatial benchmarks (OLS/GWR/MGWR)
  • Provides journal templates for publication readiness

Cons

  • Niche focus limits applicability outside geoscience domains
  • Requires Python environment and setup for MCP servers
  • Documentation may be sparse given early-stage project

Key facts

What we have checked

Days since the last commit
185
Checked GitHub
GitHub forks
25
Checked GitHub
GitHub stars
108
Checked GitHub
Days to a first reply on issues
196.5
Checked GitHub
Open issues
3
Checked GitHub
Releases in the last 90 days
0
Checked GitHub

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

Stars and usage

How training-check is growing

GitHub stars

108 to 108

stars. 1 Nov 2026 to 7 Nov 2026, 2 readings.

Source: GitHub. Checked .

Health and security

Is training-check looked after, and what do its setup files show

Health score

39 out of 100

Does someone look after this repository? It does not say the code is good or safe. Worked out from GitHub signals checked . How it is worked out

PartPointsWhat we saw
Recent activity16.1 of 30Last push 185 days ago
Releases0 of 150 releases in 90 days
Issue replies0 of 20First reply in 196.5 days (median)
Maintainer15 of 15Owned by an organisation
Official sourceNot countedMCP servers only

Security check static checks

100 out of 100

Reads what is published about the server: package advisories, licence, secrets in the documented setup and tool permissions. Nothing is installed or run, so this is not a security assessment. Checked by edna-skill-static-v1 main@5f7a2465abb6. What it checks

  • Note No dependency list or install command was found in the skill, so there were no packages to look up on OSV.

Sources

Where this comes from

  • GitHubRegistry

    Checked · Days since the last commit, GitHub forks, GitHub stars, Days to a first reply on issues, Open issues, Releases in the last 90 days

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.

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