Skill audit report
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"
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS86
2.4K GitHub stars
Stars/forks activity
PASS83
2.4K stars, 284 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
9d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO64
credential or environment access, network or browser surface
Install availability
PASS92
npx skills add AlphaGBM/skills --skill alphagbm-marks-cycle
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN60
secrets or environment access, network or browser access
Repository evidence
PASS86
https://github.com/AlphaGBM/skills/tree/main/skills/alphagbm-marks-cycle
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add AlphaGBM/skills --skill alphagbm-marks-cycle
Repository
88
https://github.com/AlphaGBM/skills/tree/main/skills/alphagbm-marks-cycle
License
86
MIT
Maintenance
100
9d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
Warnings
Method
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
Compare nearby options
Usable description available
Dependency risk
64
credential or environment access, network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
60
secrets or environment access, network or browser access
Stars/forks activity
83
2.4K stars, 284 forks; issue activity unavailable in current metadata
Adoption
88
2.4K GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
Network access
mediumSkill likely fetches remote pages, APIs, repositories, or external services.
Secrets or environment access
highSkill metadata references credentials, tokens, environment variables, or secret-bearing workflows.