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.
npx skills add muend/geoai-skills --skill arcgis-pro-automationgit clone --depth 1 https://github.com/muend/geoai-skillsWrote 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.
[](https://agentmods.dev/skills/muend/geoai-skills/arcgis-pro-automation)<a href="https://agentmods.dev/skills/muend/geoai-skills/arcgis-pro-automation"><img src="https://agentmods.dev/badge/skills/muend/geoai-skills/arcgis-pro-automation/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.
<a href="https://agentmods.dev/skills/muend/geoai-skills/arcgis-pro-automation"><img src="https://agentmods.dev/badge/skills/muend/geoai-skills/arcgis-pro-automation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00159 | $0.01520 |
| Opus 5 | $0.00079 | $0.00760 |
| Sonnet 5 | $0.00032 | $0.00304 |
| Haiku 4.5 | $0.00016 | $0.00152 |
Grade A, and why
arcgis-pro-automation 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ArcGIS Pro Automation
Operate saved ArcGIS Pro projects and local GIS datasets through the guarded
arcgis-mcp-bridge tool surface. Treat the bridge as an execution backend,
not as permission to mutate data or claim a result that was never observed.
Establish the boundary
- Require Windows, a licensed ArcGIS Pro installation, and a bridge worker interpreter that can import ArcPy for real geoprocessing.
- Use the bridge for local, headless, repeatable ArcPy work. It does not drive the visible ArcGIS Pro UI and does not administer ArcGIS Online or Enterprise.
- If the bridge tools are not callable, provide setup or a dry execution plan.
Never simulate tool output or imply that an
.aprxor.gdbchanged. - Use the schemas exposed by the connected MCP server. Tool names may be host- namespaced; match the semantic catalog name and never invent parameters.
- Keep every read and write inside the configured allowed roots. Use absolute paths and a dedicated scratch geodatabase for intermediate outputs.
Read runtime and licensing before the first execution or whenever setup, extension availability, or worker failures are in scope.
Execute the workflow
- Define the contract. Identify inputs, intended output artifacts, CRS and
units, whether a saved
.aprxmust change, and which operations create, overwrite, append, or edit data. - Preflight. Call
health_checkfirst. Inspect its worker interpreter, allowed roots, scratch GDB, timeout, and concurrency. Because this call does not import ArcPy, follow it with a non-mutating ArcPy-backed request such asget_spatial_reference,describe_dataset, orlist_layersbefore treating the runtime as execution-ready. - Inspect before acting. Read dataset descriptions, counts, fields, CRS, extents, project maps/layers, and required extension licenses. Resolve datum transformations, units, and output naming before analysis.
- Plan exact tools. Select the smallest declarative sequence from tool routing. Separate read-only inspection, new-output creation, and in-place mutation. Prefer new outputs and working copies over edits to source data.
- Authorize mutations. Read safety and validation
before any write. Set
confirm=trueonly when the user's request clearly authorizes the exact mutating operation and target. Treatoverwrite=trueas a separate explicit decision. Stop on ambiguous target, scope, or intent. - Execute incrementally. Run one dependent step at a time; preserve returned
output paths and geoprocessing messages. Parallelize only independent jobs
when license seats, memory, and
max_workersare known to support them. - Verify independently. Re-open outputs and test the relevant invariants: existence, count, geometry validity, CRS and units, raster statistics and NoData, network solve status, project contents, or exported layout dimensions. A success status alone is not evidence of a correct GIS result.
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 113 lines · 159 tokens per session scan A 2ba2568f7045
arcgis-pro-automation is a skill published in the GitHub repository muend/geoai-skills (18 stars, last pushed 8d ago), licensed MIT. It adds 159 tokens to every session and 1,520 once invoked, about $0.0008 per session on Opus 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 2026-08-31.
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