alphagbm-earnings-crush
alphagbm-earnings-crush is an Investment analysis & markets skill for AI agents, published by AlphaGBM in the skills repository on GitHub. Skillspace rates alphagbm-earnings-crush D (57/100) and it passed the safety scan; the rating is based on static analysis only.
Full earnings-season IV analysis: historical crush, implied move forecast, IV Rank strategy tag, and a priced Iron Condor quote ready to trade. Triggers: "earnings crush AAPL", "NVDA IV before earnings", "implied move MSFT", "iron condor for META", "IV rank AAPL earnings", "earnings play TSLA", "should I short premium before AMZN earnings", "post-earnings IV drop", "straddle before earnings", "pre-earnings strategy"
- Grade
- D
- Quality
- 57 / 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
- 79 / 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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