# Kdense Geospatial Rs Selected

> 精选 K-Dense Scientific Agent Skills 的地理空间科学与遥感工具包。用于 geomaster、GeoPandas、GIS、遥感、矢量/栅格处理、空间分析、空间机器学习和地球观测工作流，并按 Auto-sci-research 的体育设施可达性、绿色暴露、热暴露、LCZ、空间公平和城市健康研究进行封装。

- **Type:** Skill
- **Install:** `agentstack add skill-lzy599775-agent-auto-sci-skills-kdense-geospatial-rs-selected`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [Lzy599775](https://agentstack.voostack.com/s/lzy599775)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [Lzy599775](https://github.com/Lzy599775)
- **Source:** https://github.com/Lzy599775/agent-auto-sci-skills/tree/main/skills/kdense-geospatial-rs-selected
- **Website:** https://lzy599775.github.io/agent-auto-sci-skills/

## Install

```sh
agentstack add skill-lzy599775-agent-auto-sci-skills-kdense-geospatial-rs-selected
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# K-Dense Geospatial / Remote Sensing Selected

This wrapper packages selected Geospatial Science & Remote Sensing skills from `K-Dense-AI/scientific-agent-skills`.

Use it when a task needs library-level or workflow-level support for:

- `geomaster`
- `geopandas`
- vector and raster handling;
- CRS and geometry operations;
- remote-sensing feature workflows;
- spatial analysis and spatial ML implementation details.

## Local Adaptation

Use these upstream skills with local geospatial rules:

1. Check CRS, units, topology, geometry validity, and spatial resolution before analysis.
2. Keep exposure, accessibility, availability, quality, and use conceptually separate.
3. Record buffer/network/travel-time assumptions in methods-ready language.
4. For environmental exposure, state temporal window, season, data product, and aggregation rule.
5. For maps, check legends, classification, scale, north arrow needs, and projection disclosure.

For domain-specific guidance, also read:

- `../agent-auto-sci-geospatial/references/k_dense_geospatial_rs_mapping.md`
- `../agent-auto-sci-geospatial/references/exposure_accessibility_definitions.md`

## Must Not Do

- Do not convert spatial units silently.
- Do not use Euclidean buffers when network access is required without explaining the limitation.
- Do not treat remote-sensing classification output as ground truth without validation.

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [Lzy599775](https://github.com/Lzy599775)
- **Source:** [Lzy599775/agent-auto-sci-skills](https://github.com/Lzy599775/agent-auto-sci-skills)
- **License:** MIT
- **Homepage:** https://lzy599775.github.io/agent-auto-sci-skills/

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-lzy599775-agent-auto-sci-skills-kdense-geospatial-rs-selected
- Seller: https://agentstack.voostack.com/s/lzy599775
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.