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。
Install
$ agentstack add skill-lzy599775-agent-auto-sci-skills-kdense-geospatial-rs-selected ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-lzy599775-agent-auto-sci-skills-kdense-geospatial-rs-selected) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →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:
geomastergeopandas- 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:
- Check CRS, units, topology, geometry validity, and spatial resolution before analysis.
- Keep exposure, accessibility, availability, quality, and use conceptually separate.
- Record buffer/network/travel-time assumptions in methods-ready language.
- For environmental exposure, state temporal window, season, data product, and aggregation rule.
- 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
- Source: 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.
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Versions
- v0.1.0 Imported from the upstream source.