alphagbm-iv-rank

alphagbm-iv-rank is an Investment analysis & markets skill for AI agents, published by AlphaGBM in the skills repository on GitHub. Skillspace rates alphagbm-iv-rank D (59/100) and it passed the safety scan; the rating is based on static analysis only.

IV Rank and IV Percentile analysis showing where current implied volatility stands relative to its 252-day history. Returns IV rank (0-100), IV percentile (0-100), IV history data, and trading signals based on IV zone. Use when: deciding whether to buy or sell premium, checking if IV is high or low, timing volatility trades, screening for IV extremes. Triggers on: "IV rank AAPL", "is NVDA IV high", "IV percentile SPY", "historical IV TSLA", "is volatility cheap for META", "IV rank scan", "should I sell premium".

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

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