alphagbm-tepper-signal
alphagbm-tepper-signal is an Investment analysis & markets skill for AI agents, published by AlphaGBM in the skills repository on GitHub. Skillspace rates alphagbm-tepper-signal D (57/100) and it passed the safety scan; the rating is based on static analysis only.
Quantified version of David Tepper's 2009 (+132%) and 2020 (+82%) panic-buy playbook. Detects whether current conditions match Tepper's signal: VIX ≥ 35 AND FearScore ≥ 80 AND quality filter (large-cap, positive margin). Only fires during genuine market panics — the rest of the time it returns the "waiting" state, which is ~80% of all days per Tepper's own framework. The API reuses our existing FearScore module, so the signal is directly comparable to the multi-indicator panic index. Triggers: "is this a Tepper buy signal", "panic-buy detector SPY", "should I buy the panic", "Tepper style entry check", "are we at a panic bottom", "is VIX 35+ and fear 80+", "historical bottom signal today"
- 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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