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_repair_geometry/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_repair_geometry)<a href="https://agentmods.dev/skills/gpt-cmdr/ras-commander/qa_repair_geometry"><img src="https://agentmods.dev/badge/skills/gpt-cmdr/ras-commander/qa_repair_geometry/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_repair_geometry"><img src="https://agentmods.dev/badge/skills/gpt-cmdr/ras-commander/qa_repair_geometry.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 | $0.00097 | $0.03496 |
| Opus 5 | $0.00048 | $0.01748 |
| Sonnet 5 | $0.00019 | $0.00699 |
| Haiku 4.5 | $0.00010 | $0.00350 |
Grade A, and why
qa_repair_geometry 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 — 428 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repairing Geometry Issues
Lightweight skill for navigating ras-commander's geometry checking and repair capabilities.
When the user asks to fix geometry errors, repair obstructions, validate a model, or ensure FEMA compliance, use this skill. Navigate to primary sources for RasCheck (validation) and RasFixit (repair). Do not duplicate content from primary sources -- this file serves as an index only.
Primary Sources (Read These First)
Quality Validation (RasCheck)
ras_commander/check/AGENTS.md - canonical RasCheck package contract
- Validation scope and package responsibilities
- Flow-type auto-detection rule
- Severity, threshold, and reporting expectations
- Relationship between
check/validation andfixit/repair
Automated Repair (RasFixit)
ras_commander/fixit/AGENTS.md - canonical RasFixit package contract
- Blocked obstruction repair algorithm
- 0.02-unit gap insertion requirement
- Elevation envelope details
- Module organization and patterns
Complete Workflows
examples/200_fixit_blocked_obstructions.ipynb
- RasFixit demonstration with visualizations
- Before/after comparison workflow
- Engineering review requirements
examples/300_quality_assurance_rascheck.ipynb
- RasCheck validation workflow
- Multi-check execution and reporting
- Custom threshold configuration
Quick Start Patterns
Check → Fix → Verify Workflow
from ras_commander import RasCheck, RasFixit
# 1. CHECK: Detect issues
results = RasCheck.run_all("01")
print(f"Errors: {results.get_error_count()}")
print(f"Warnings: {results.get_warning_count()}")
# 2. FIX: Repair blocked obstructions (if detected)
fix_results = RasFixit.fix_blocked_obstructions(
"model.g01",
backup=True, # ALWAYS create timestamped backup
visualize=True # ALWAYS generate verification PNGs
)
print(f"Fixed {fix_results.total_xs_fixed} cross sections")
# 3. VERIFY: Confirm repairs
verify_results = RasCheck.run_all("01")
Detection Only (Non-Destructive)
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 · 428 lines · 97 tokens per session scan A fd3183368c4b
qa_repair_geometry is a skill published in the GitHub repository gpt-cmdr/ras-commander (79 stars, last pushed today), licensed MIT. It adds 97 tokens to every session and 3,496 once invoked, about $0.0005 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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