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edgartools

Python library for accessing, analyzing, and extracting data from SEC EDGAR filings. Use when working with SEC filings, financial statements (income statement, balance sheet, cash flow), XBRL financial data, insider trading (Form 4), institutional holdings (13F), company financials, annual/quarterly reports (10-K, 10-Q), proxy statements (DEF 14A), 8-K current events, company screening by ticker/CIK/industry, multi-period financial analysis, or any SEC regulatory filings.

79

Quality

100%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

100%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-structured, code-first skill body that is lean, executable, and clearly sequenced, with a helpful pitfalls section and a clean one-level-deep reference layout. It adds only what Claude would not already know about the edgartools API.

DimensionReasoningScore

Conciseness

The body is lean: code-first sections with minimal prose, no explanation of what SEC EDGAR is or how Python libraries work, and every token earns its place. It assumes Claude's competence throughout.

3 / 3

Actionability

Provides fully executable, copy-paste-ready code — `set_identity(...)`, `uv pip install edgartools`, `company.get_filings(form="10-K")`, `filing.obj()` — plus concrete commands and a form→object mapping table.

3 / 3

Workflow Clarity

A clearly sequenced core workflow (Authentication → Installation → Find Company → Get Filings → Extract → Access Content) is reinforced by a 'Common Pitfalls' section and an 'Important' callout that serve as error-recovery guidance; this is data access rather than a destructive/batch operation, so no hard cap applies.

3 / 3

Progressive Disclosure

SKILL.md is a concise overview with seven well-signaled, one-level-deep references (companies.md, filings.md, financial-data.md, xbrl.md, data-objects.md, entity-facts.md, ai-integration.md), all verified to exist, with content appropriately split for easy navigation.

3 / 3

Total

12

/

12

Passed

Description

100%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, third-person description that states concrete capabilities and provides an explicit 'Use when' trigger clause rich with natural user terms. It is comprehensive without being padded and occupies a clearly distinct niche.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'accessing, analyzing, and extracting data from SEC EDGAR filings' — alongside a long enumeration of specific form types and capabilities, matching the 'lists multiple specific concrete actions' anchor.

3 / 3

Completeness

Explicitly answers both 'what' (accessing/analyzing/extracting SEC EDGAR data) and 'when' via a clear 'Use when working with...' clause enumerating triggers, matching the top anchor.

3 / 3

Trigger Term Quality

Covers natural terms users would say — 'SEC filings', '10-K', '10-Q', 'Form 4', '13F', 'XBRL', 'balance sheet', 'cash flow', 'proxy statements (DEF 14A)', '8-K' — giving broad coverage of common variations rather than just jargon.

3 / 3

Distinctiveness Conflict Risk

SEC EDGAR filings are a clear, narrow niche with distinct, domain-specific triggers; this description is unlikely to fire for unrelated skills.

3 / 3

Total

12

/

12

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

Total

15

/

16

Passed

Repository
foryourhealth111-pixel/Vibe-Skills
Reviewed

Table of Contents

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