dss_read_boundary-data
dss_read_boundary-data is a Physics, mathematics & simulation skill for AI agents, published by gpt-cmdr in the ras-commander repository on GitHub. Skillspace rates dss_read_boundary-data D (55/100) and it passed the safety scan; the rating is based on static analysis only.
Reads HEC-DSS files (V6 and V7) for boundary condition extraction using RasDss class. Handles JVM configuration, HEC Monolith download, catalog reading, and time series extraction. Use when working with DSS files, extracting boundary data, reading HEC-HMS output, integrating DSS workflows with HEC-RAS, cataloging DSS file contents, or converting DSS data to pandas DataFrames. Triggers: DSS, HEC-DSS, boundary condition, time series, JVM, Java, catalog, pathname, HEC-HMS, Monolith, pyjnius, read DSS, extract DSS, DSS boundary, DSS catalog, DSS DataFrame, DSS V6, DSS V7.
- 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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