alphagbm-marks-cycle
alphagbm-marks-cycle is an Investment analysis & markets skill for AI agents, published by AlphaGBM in the skills repository on GitHub. Skillspace rates alphagbm-marks-cycle F (53/100) and it passed the safety scan; the rating is based on static analysis only.
Howard Marks-style market cycle position 0-100, with 0 = panic bottom (hard offense) and 100 = euphoric top (hard defense). Blends VIX (40%) + SPY IV Rank (25%) + Put/Call ratio (20%) + valuation percentile (15%) into a single number and maps to an offense-vs-defense posture. Authenticated signal, no analysis-credit deduction, 5-min cache — the goal is to make "where are we in the cycle" a one-call lookup. Triggers: "where is the market in the cycle", "Howard Marks style cycle read", "am I supposed to be offensive or defensive", "is this a buying cycle", "cycle position right now", "Marks cycle score", "sentiment read for SPY"
- Grade
- F
- Quality
- 53 / 100
- Safety
- Passed
- GitHub stars
- 2,346
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
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
What the scanner flagged
- mentions secrets in text
Not checked yet
- Category is a classifier prediction; no model has read this skill 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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