fred-economic-data

Query FRED (Federal Reserve Economic Data) API for 800,000+ economic time series from 100+ sources. Access GDP, unemployment, inflation, interest rates, exchange rates, housing, and regional data. Use for macroeconomic analysis, financial research, policy studies, economic forecasting, and academic research requiring U.S. and international economic indicators.

Quality

92%

Does it follow best practices?

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Securityby

Passed

No findings from the security scan

Quality

Content

85%

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

A well-structured, actionable API skill body with executable examples and clean one-level-deep progressive disclosure. The main weakness is mild redundancy — the Overview rephrases the description and the final Reference Documentation list restates citations already made inline.

Suggestions

Remove or trim the closing 'Reference Documentation' section since each endpoint category already cites its reference file inline, eliminating the duplicated listing.

Shorten the Overview so it does not repeat the frontmatter description verbatim; lean on the body's unique structure (Quick Start, endpoint categories, patterns) instead.

Consider moving the 'Popular Economic Series' and transformation/frequency tables into a reference file to further slim the overview, keeping only the most-used series inline.

Dimension	Reasoning	Score
Conciseness	Mostly efficient API reference with useful tables and executable code, but the Overview duplicates the frontmatter description and the closing 'Reference Documentation' section repeats the inline 'See references/X.md' citations already given per category.	2 / 3
Actionability	Provides fully executable, copy-paste-ready code throughout — FREDQuery usage, direct requests calls, transformation and frequency examples, plus concrete series IDs in the popular-series table.	3 / 3
Workflow Clarity	API key setup is a clear numbered sequence and the Quick Start gives an unambiguous entry point; as a read-only query skill the single action is clear, with an error-handling section covering bad series IDs and missing values.	3 / 3
Progressive Disclosure	SKILL.md is a well-organized overview with one-level-deep references signaled inline ('See references/series.md for all 10 series endpoints'); all referenced files (api_basics, series, categories, releases, tags, sources, geofred) and scripts exist and are appropriately split out.	3 / 3
	Total	11 / 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 names concrete actions, surfaces natural trigger terms, and explicitly states both capability and use-cases. It is distinguishable and unlikely to conflict with other skills.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions and data types — 'Query FRED API', 'Access GDP, unemployment, inflation, interest rates, exchange rates, housing, and regional data' — matching the anchor for listing several specific concrete actions.	3 / 3
Completeness	Explicitly answers both what ('Query FRED API for 800,000+ economic time series') and when ('Use for macroeconomic analysis, financial research, policy studies...') with an explicit 'Use for' trigger clause.	3 / 3
Trigger Term Quality	Covers natural terms users would say — GDP, unemployment, inflation, interest rates, macroeconomic analysis, financial research, economic forecasting, academic research — giving good coverage of common phrasings.	3 / 3
Distinctiveness Conflict Risk	Targets a clearly distinct niche (FRED Federal Reserve Economic Data) with specific economic-indicator triggers unlikely to fire for unrelated skills.	3 / 3
	Total	12 / 12 Passed

Validation

93%

Warnings & errors only

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

Validation — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
metadata_version	'metadata.version' is missing	Warning

	Total	15 / 16 Passed

Repository: foryourhealth111-pixel/Vibe-Skills
Path: bundled/skills/fred-economic-data/SKILL.md
Commit: f627ab5

Reviewed: about 9 hours ago

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