stock-picking-by-common-stocks-uncommon-profits

stock-picking-by-common-stocks-uncommon-profits is an Investment analysis & markets skill for AI agents, published by simbajigege in the book2skills repository on GitHub. Skillspace rates stock-picking-by-common-stocks-uncommon-profits C (72/100) and it passed the safety scan; the rating is based on static analysis only.

Apply Philip Fisher's growth stock investment framework from Common Stocks and Uncommon Profits. Use this skill whenever a user wants to evaluate whether a company is a worthy long-term growth investment, assess management quality, gather competitive intelligence via scuttlebutt, decide when to buy an outstanding stock at the right moment, or decide whether to hold or sell a current position. Covers the 15 Points checklist, management depth analysis, scuttlebutt intelligence gathering, entry timing, and hold/sell decision logic. Trigger phrases: "is X a growth stock", "Fisher framework", "15 points", "scuttlebutt", "should I buy X", "should I sell X", "management quality of X", "growth stock analysis".

Grade
C
Quality
72 / 100
Safety
Passed
GitHub stars
107

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
Packaged: licensed, with a version or references
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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