power-plant-performance
power-plant-performance is a Physics, mathematics & simulation skill for AI agents, published by Amazon-Quick in the Amazon-Quick-official-catalog repository on GitHub. Skillspace rates power-plant-performance B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Analyze thermal power plant performance: heat rate, NERC GADS availability metrics, thermodynamic cycle modeling, ambient corrections, degradation trending, and fleet benchmarking. Use when asked to 'calculate heat rate', 'compute EFOR or availability', 'model a Rankine or Brayton cycle', 'apply ambient corrections', 'trend plant degradation', 'benchmark against the NERC fleet', or analyze thermal generation efficiency
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 45
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- MIT-0
- 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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