usgs_integrate_gauges
usgs_integrate_gauges is a Physics, mathematics & simulation skill for AI agents, published by gpt-cmdr in the ras-commander repository on GitHub. Skillspace rates usgs_integrate_gauges D (55/100) and it passed the safety scan; the rating is based on static analysis only.
Complete USGS gauge data integration workflow from spatial discovery to model validation. Handles gauge finding, data retrieval, matching to HEC-RAS features, boundary condition generation, initial conditions, real-time monitoring, and validation metrics (NSE, KGE). Use when working with USGS data, NWIS gauges, generating boundaries from observed flow, calibrating models, validating with observed data, or setting up operational forecasting. Triggers: USGS, NWIS, gauge, streamflow, observed data, boundary condition from gauge, calibration, validation, NSE, KGE, spatial discovery, gauge matching, real-time monitoring, initial conditions, GaugeMatcher, UsgsGaugeSpatial, RasUsgsCore, flow data, stage data, discharge, rating curve, observed flow, gauge near model.
- Grade
- D
- Quality
- 55 / 100
- Safety
- Passed
- GitHub stars
- 69
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 77 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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