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tech-earnings-deepdive

star23/Day1Global-SkillsSkill

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

ScannedSkillSource: GitHub
1,060 stars +2 this week Updated 3mo ago License MIT Context ≈156 tokens always loaded
67popular

Why this score

Stars16/35
Usage (forks)6/15
Upkeep20/25
License15/15
Owner history10/10

This repo hosts 5 skills, so its 1,060 stars are split between them (about 212 each) for scoring.

Popularity score: 67/100 from public GitHub signals only. It shows how widely used and maintained this is, not how well it works. Not included yet: the fake-star check. The security scan is shown separately and doesn't change the score. How we rank

Security

Scanned Oct 21, 2026 at commit 562c14b0c0bc, with Cisco's open-source skill-scanner.

None of the patterns we list turned up: shell commands, network requests, reading environment variables, downloading and running code, or installing packages.

A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan

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