alphagbm-investment-thesis
alphagbm-investment-thesis is an Investment analysis & markets skill for AI agents, published by AlphaGBM in the skills repository on GitHub. Skillspace rates alphagbm-investment-thesis D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Record and track the "why I bought" and "when I sell" for each position. Each thesis is attached to a company profile: buy reasons in prose, sell conditions as structured triggers (price drop, PE spike, thesis breach). The system monitors conditions automatically and flips the thesis to "triggered" when one fires. Use when: writing buy logic, setting exit triggers, reviewing active theses, seeing which triggered. Triggers on: "write a thesis for NVDA", "why did I buy AAPL", "set a stop loss logic on TSLA", "which theses are triggered", "update my thesis", "投资论据", "卖出条件", "买入理由", "论据被打破".
- Grade
- D
- Quality
- 59 / 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
- 84 / 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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