stock-peer-comparison-review
stock-peer-comparison-review is an Investment analysis & markets skill for AI agents, published by johnqtcg in the awesome-skills repository on GitHub. Skillspace rates stock-peer-comparison-review B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Independently benchmark a US-listed target equity against 2-4 closest peers on a fixed 12-item ratio panel — growth rates, profitability, capital intensity, balance sheet leverage, capital returns, and valuation multiples. Provides cross-validation for moat and market-share claims made by the business and industry reviewers. Trigger when running a Standard-or-deeper stock-analysis-lead workup; supplies the independent quantitative comparison that single-name analysis cannot. Dispatched by stock-analysis-lead.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 26
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
- 100 / 100
- Maturity
- Structured: ships references or scripts
- 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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