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-web-parity/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-web-parity)<a href="https://agentmods.dev/skills/gpt-cmdr/ras-commander/qa-rasmapper-web-parity"><img src="https://agentmods.dev/badge/skills/gpt-cmdr/ras-commander/qa-rasmapper-web-parity/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-web-parity"><img src="https://agentmods.dev/badge/skills/gpt-cmdr/ras-commander/qa-rasmapper-web-parity.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 | $0.00076 | $0.00662 |
| Opus 5.5 | $0.00030 | $0.00265 |
| Sonnet 5.5 | $0.00015 | $0.00132 |
| Haiku 4.5 | $0.00008 | $0.00066 |
Grade A, and why
qa-rasmapper-web-parity 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 1mo 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 — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
RASMapper Web Parity
Use one YAML/JSON review specification for both capture surfaces. Keep map, tree, legend, semantic assertions, and numeric probes as separate evidence channels.
Workflow
- Read
references/review-spec.mdand validate project, manifest, CRS, layer IDs, profiles, viewport sizes, crop regions, and numeric probes. - Copy the source project to the review output. Never configure the original
.rasmap. - Run
scripts/rasmapper_web_parity.py rasmapper SPEC OUTPUTon a Windows HEC-RAS host. - Run
scripts/rasmapper_web_parity.py web SPEC OUTPUTwhere Python Playwright and Chromium are installed, or use the in-app browser at the exact specified desktop/mobile viewports. - Run
scripts/rasmapper_web_parity.py compare SPEC OUTPUTafter all images exist. - Inspect
comparison.json,findings.md,contact-sheet.png, and region images.
uv run python .claude/skills/qa-rasmapper-web-parity/scripts/rasmapper_web_parity.py `
rasmapper scripts/example_library/fixtures/muncie-parity.yml working/muncie-parity
Capture Contract
- RASMapper: call
RasMap.create_spatial_review_package()with fixed outer-window dimensions, selected plan/layer, terrain, range/ramp, RAS version, and matching web manifest metadata. - Web: wait for
window.__rasCommanderViewerInstances, apply WGS84 bounds and manifest layer state through that QA hook, enable every declared extent-colored raster, wait for MapLibre and all raster styling to become idle, require a content-only semantic tree with one disclosure control per collapsible node, then capture page, map, tree, and active legend separately at desktop and mobile sizes. - Comparison: crop only declared RASMapper regions; normalize dimensions; report global SSIM, normalized mean absolute error, and a diff image. Do not use full desktop chrome as a golden.
- Numeric probes: sample authoritative numeric COGs with rasterio and compare to explicit expected values/tolerances. Never infer numeric correctness from image colors.
What ships with it
3 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.
- 1mo ago First seen · 53 lines · 76 tokens per session scan A 70d9f1d342da
qa-rasmapper-web-parity is a skill published in the GitHub repository gpt-cmdr/ras-commander (88 stars, last pushed today), licensed MIT. It adds 76 tokens to every session and 662 once invoked, about $0.0003 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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