tech-earnings-deepdive

tech-earnings-deepdive is an Investment analysis & markets skill for AI agents, published by webleon in the tech-earnings-deepdive-openclaw-skill repository on GitHub. Skillspace rates tech-earnings-deepdive D (58/100) and it passed the safety scan; the rating is based on static analysis only.

Tech Stock Earnings Deep Dive Analysis and Multi-Perspective Investment Memo System (v3.0). Covers 16 major analysis modules (A-P), 6 investment philosophy perspectives, institutional-grade evidence standards, anti-bias framework, and actionable decision system. When users mention topics such as tech company earnings analysis, quarterly/annual report interpretation, earnings call, revenue growth analysis, margin changes, guidance, valuation models, DCF, reverse DCF, EV/EBITDA, PEG, Rule of 40, management analysis, competitive landscape, position sizing, whether to buy/sell/add to a tech stock position, how to interpret a company's latest earnings, doing a deep dive, multi-angle valuation, how investment masters view a company, variant view, key forces, kill conditions, ownership structure, executive team, partner ecosystem, macro policy impact, etc., this skill should be used. Even if the user simply asks "help me look at NVDA's latest earnings" or "how did META do this quarter" or…

Grade

D

Quality

58 / 100

Safety

Passed

GitHub stars

29

Unproven: rated by static analysis only, not yet compared head-to-head.

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