azure-planetary-computer-pro

azure-planetary-computer-pro is a skill for Claude Code from MicrosoftDocs/Agent-Skills. It costs 109 tokens per session (2,023 once invoked), scanned A, original, CC-BY-4.0.

A reference guide for Microsoft Planetary Computer Pro, a platform for cataloguing and serving geospatial data. It covers GeoCatalog and STAC APIs, collections, map tiles, security, and connections to QGIS and ArcGIS.

In plain words
What is it for?
Use it to configure geospatial collections and tiles, call GeoCatalog or STAC APIs, secure access, and integrate with QGIS or ArcGIS.
Why use it?
It helps developers work with location-based datasets and map tools without having to infer the platform's catalog, tile, and access-control setup.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the azure-agent-skills plugin — 199 skills shipped together , and of azure-agent-skills

Good fit Use it to configure geospatial collections and tiles, call GeoCatalog or STAC APIs, secure access, and integrate with QGIS or ArcGIS.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/microsoftdocs/agent-skills/azure-planetary-computer-pro
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add MicrosoftDocs/Agent-Skills --skill azure-planetary-computer-pro
Clone the repo
git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills

Made for: Claude Code.

Or install azure-agent-skills, the plugin that ships this one along with the rest of its 199 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for azure-planetary-computer-pro

README.md
[![agentmods](https://agentmods.dev/badge/skills/microsoftdocs/agent-skills/azure-planetary-computer-pro/github.svg)](https://agentmods.dev/skills/microsoftdocs/agent-skills/azure-planetary-computer-pro)
Your own site
<a href="https://agentmods.dev/skills/microsoftdocs/agent-skills/azure-planetary-computer-pro"><img src="https://agentmods.dev/badge/skills/microsoftdocs/agent-skills/azure-planetary-computer-pro/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for azure-planetary-computer-pro

Your own site · 80×15
<a href="https://agentmods.dev/skills/microsoftdocs/agent-skills/azure-planetary-computer-pro"><img src="https://agentmods.dev/badge/skills/microsoftdocs/agent-skills/azure-planetary-computer-pro.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 109 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,023 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00109 $0.02023
Opus 5.5 $0.00044 $0.00809
Sonnet 5.5 $0.00022 $0.00405
Haiku 4.5 $0.00011 $0.00202

Measured 14d ago against content hash bf5098bbb7fe, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

azure-planetary-computer-pro scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 14d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/azure-planetary-computer-pro/SKILL.md · 96 lines

The source is not reproduced here

Licensed CC-BY-4.0

The repository is licensed CC-BY-4.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 14d ago Changed bf5098bbb7fe
  2. 1mo ago First seen · 96 lines · 109 tokens per session scan A 34132ace2624

Subscribe to this mod's changes

azure-planetary-computer-pro is a skill published in the GitHub repository MicrosoftDocs/Agent-Skills (787 stars, last pushed yesterday), licensed CC-BY-4.0. It adds 109 tokens to every session and 2,023 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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