Agent skill
orcawave-aqwa-benchmark-html-report-structure
Sub-skill of orcawave-aqwa-benchmark: HTML Report Structure (+1).
Install this agent skill to your Project
npx add-skill https://github.com/vamseeachanta/workspace-hub/tree/main/.claude/skills/_archive/engineering/marine-offshore/orcawave-aqwa-benchmark/html-report-structure
SKILL.md
HTML Report Structure (+1)
HTML Report Structure
from digitalmodel.diffraction.comparison_framework import BenchmarkReporter
# Initialize reporter
reporter = BenchmarkReporter()
# Generate comprehensive report
reporter.generate_html_report(
comparison_results=results,
output_file="reports/benchmark_report.html",
*See sub-skills for full details.*
## Report Sections (r4 Canonical Format)
The r4 benchmark report format is the **standard template for all diffraction analysis**. All new benchmark and diffraction reports must follow this structure:
1. **Header** — Vessel name, date, overall consensus badge
2. **Input Comparison** — Solver-column table (geometry, mass, environment, damping)
3. **Consensus Summary** — Per-DOF badges (FULL/SPLIT/NO_CONSENSUS)
4. **Per-DOF Analysis** — 2-col grid: text/conclusions left (45%), Plotly plot right (55%)
5. **Full Overlay Plots** — Combined amplitude/phase across all DOFs
6. **Notes** — Auto-generated observations
Reference implementation: `benchmark_plotter.py` + `benchmark_runner.py`
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
gsd-complete-milestone
Archive completed milestone and prepare for next version
gsd-reapply-patches
Reapply local modifications after a GSD update
gsd-verify-work
Validate built features through conversational UAT
gsd-thread
Manage persistent context threads for cross-session work
clinical-trial-protocol
Generate clinical trial protocols for medical devices or drugs through a modular, waypoint-based architecture with research-only and full protocol modes.
single-cell-rna-qc
Performs quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scverse best practices with MAD-based filtering and comprehensive visualizations.
Didn't find tool you were looking for?