Borrowing it
Nothing to install: this file belongs to gpt-cmdr/ras-commander. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/gpt-cmdr/ras-commander/main/.claude/skills/qa_rasmapper_spatial-review/SKILL.mdgit clone --depth 1 https://github.com/gpt-cmdr/ras-commanderWrote 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/gpt-cmdr/ras-commander/qa_rasmapper_spatial-review)<a href="https://agentmods.dev/skills/gpt-cmdr/ras-commander/qa_rasmapper_spatial-review"><img src="https://agentmods.dev/badge/skills/gpt-cmdr/ras-commander/qa_rasmapper_spatial-review/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/gpt-cmdr/ras-commander/qa_rasmapper_spatial-review"><img src="https://agentmods.dev/badge/skills/gpt-cmdr/ras-commander/qa_rasmapper_spatial-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00079 | $0.01979 |
| Opus 5 | $0.00039 | $0.00989 |
| Sonnet 5 | $0.00016 | $0.00396 |
| Haiku 4.5 | $0.00008 | $0.00198 |
Grade A, and why
qa_rasmapper_spatial-review 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 5d 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 — 247 lines — stays where its author put it; the contents beside it link to each section on GitHub.
RASMapper Spatial Review
Use this skill when a task needs agent-readable RASMapper context: visual QA/QC, spatial documentation, layer-state review, reference map verification, or a snapshot-driven inspection of 2D flow areas, structures, breaklines, and terrain.
This is a shared workflow skill. Keep it as a lightweight navigator that points agents to ras-commander APIs and tests instead of duplicating implementation.
Primary Sources
Read these first when exact behavior matters:
ras_commander/RasMap.py- public API surfaceras_commander/_rasmap_control_helper.py- RASMapper view, layer, launch, and snapshot helpersras_commander/_rasmap_layer_helper.py- reference map, basemap, and GeoJSON validation helpersdocs/user-guide/spatial-data.md- user-facing workflow examplestests/test_rasmap_map_layers.py- expected XML/HDF behavior
When To Use
Use for:
- Capturing RASMapper screenshots for documentation or agent review
- Toggling geometry child elements such as
RASD2FlowArea,LateralStructureLayer,StructureLayer,RASXS, and mesh perimeter layers - Reviewing terrain context with "Update Legend with View" enabled
- Verifying reference map layers, shapefile layers, GeoJSON layers, and standard basemaps
- Setting result and map-layer visibility state for deterministic figures
- Checking whether a project is visually configured for spatial QA/QC
- Preparing evidence for future numerical mesh/breakline alignment review
Do not use this skill for:
- Running HEC-RAS computations
- Mutating hydraulic geometry or results
- Treating a screenshot as a substitute for numerical QA where numerical APIs exist
For deterministic RASMapper-to-MapLibre comparison, including matching desktop/mobile
captures, semantic tree assertions, legend checks, and fixed-point COG probes, use the
qa-rasmapper-web-parity skill after creating the native spatial review package.
Safety Notes
- These workflows edit
.rasmaplayer, terrain, legend, and viewport state. Prefer a copied project inworking/when the user has not asked to mutate the original project presentation state. - RASMapper screenshots require Windows and a visible standalone
RasMapper.exewindow. - GeoJSON reference layers must be WGS84/EPSG:4326.
RasMap.add_reference_map_layervalidates this and raisesValueErrorfor incompatible GeoJSON sources. - Always close RASMapper by PID after capture when the workflow launched it.
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.
- 5d ago First seen · 247 lines · 79 tokens per session scan A eeebd63db56a
qa_rasmapper_spatial-review is a skill published in the GitHub repository gpt-cmdr/ras-commander (79 stars, last pushed today), licensed MIT. It adds 79 tokens to every session and 1,979 once invoked, about $0.0004 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 2026-09-03.
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