alphagbm-vol-surface
alphagbm-vol-surface is an Investment analysis & markets skill for AI agents, published by AlphaGBM in the skills repository on GitHub. Skillspace rates alphagbm-vol-surface D (59/100) and it passed the safety scan; the rating is based on static analysis only.
3D volatility surface analysis mapping implied volatility across strikes (moneyness) and expirations. Shows whether options are cheap or expensive at every point on the surface. Returns surface grid data, ATM term structure, skew by expiry, and surface anomalies. Use when: checking if IV is expensive, analyzing term structure, finding mispriced options, understanding volatility dynamics. Triggers on: "vol surface AAPL", "is NVDA IV expensive", "volatility term structure SPY", "surface analysis TSLA", "IV surface META", "show me the vol surface".
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 1,381
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
- 84 / 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.