equity-fundamental-data
equity-fundamental-data is a Doc lookup & research skill for AI agents, published by QuantConnect in the Documentation repository on GitHub. Skillspace rates equity-fundamental-data D (65/100) and it passed the safety scan; the rating is based on static analysis only.
Use to look up the exact path or spelling of any Morningstar fundamental data point on a QuantConnect/LEAN `Fundamental` object `f` — every field under py`f.financial_statements.*`cs`f.FinancialStatements.*` (income statement, balance sheet, cash flow statement), the operation / valuation / earning ratios, earning reports, company profile, company & security reference, and asset classification — plus the Morningstar sector and industry classification code constants. Triggers — a missing-attribute / compile error on a Fundamental property path; questions like "what's the path to net income / operating cash flow / shares outstanding / PE ratio / sector code". Skip when — you need how to build or screen a universe (see the fundamental-universes skill).
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 257
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
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Apache-2.0
- 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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