well-completion-optimization
well-completion-optimization is a Physics, mathematics & simulation skill for AI agents, published by Amazon-Quick in the Amazon-Quick-official-catalog repository on GitHub. Skillspace rates well-completion-optimization B (87/100) and it passed the safety scan; the rating is based on static analysis only.
Quantitative hydraulic fracturing and completion analysis: Nolte-Smith treatment-pressure diagnostics, Diagnostic Fracture Injection Test (DFIT) G-function closure analysis, completion economics, and matched-pair design comparison. Use when asked to analyze treatment pressure, identify fracture propagation mode, run a G-function or DFIT analysis, find closure pressure, compare completion designs, optimize stage or cluster spacing, calculate Estimated Ultimate Recovery (EUR) per dollar or Net Present Value (NPV), or track frac fleet efficiency
- Grade
- B
- Quality
- 87 / 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.