alphagbm-unusual-activity
alphagbm-unusual-activity is an Investment analysis & markets skill for AI agents, published by AlphaGBM in the skills repository on GitHub. Skillspace rates alphagbm-unusual-activity D (58/100) and it passed the safety scan; the rating is based on static analysis only.
Detects unusual options activity and smart money signals. Monitors volume/OI ratio spikes, large block trades, unusual strike/expiry combinations, and net premium flow. Triggers: "unusual options activity", "smart money AAPL", "large trades NVDA", "who's buying TSLA puts", "options flow", "block trades", "sweep orders", "unusual volume", "dark pool activity", "whale trades"
- Grade
- D
- Quality
- 58 / 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
- 81 / 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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