alphavantage-api

Alpha Vantage financial API for stocks, forex, crypto, and 50+ technical indicators. Use when fetching time series data, technical analysis, fundamentals, economic indicators, or news sentiment.

Quality

72%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

Securityby

Low

Low-risk findings worth noting

Fix and improve this skill with Tessl

tessl review fix ./skills/alphavantage-api/SKILL.md

Quality

Content

61%Weight 40%Scale 1-5

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

The content is highly actionable with comprehensive executable examples, but it is verbose and structurally weak on progressive disclosure: it inlines detailed endpoint references and code that duplicate existing bundle files without ever linking to them. Tightening redundancy and pointing to the bundles would meaningfully raise the score.

Suggestions

Replace the inline 'API Functions Reference' tables with a brief summary and a clear link to references/ENDPOINTS.md to avoid duplicating the detailed endpoint catalog.

Reference scripts/alphavantage_client.py (e.g., a 'Full client' pointer) instead of inlining many overlapping hand-written request functions, and consolidate the repeated alpha_vantage setup blocks into one.

Add a short end-to-end workflow (authenticate -> call endpoint -> validate response via safe_api_call -> parse) so the implicit error-handling checkpoint becomes an explicit sequenced process.

Dimension	Reasoning	Score
Conciseness	The body is mostly concrete reference material without basic-concept padding, but several sections are redundant (Basic Usage, Using Python Package, and Usage with Pandas repeat the alpha_vantage setup) and the large inline endpoint tables duplicate references/ENDPOINTS.md, so it could be tightened.	3 / 5
Actionability	Provides numerous copy-paste-ready, executable Python examples covering the common cases (quote, daily data, RSI, overview, forex, crypto, news sentiment, economic indicators, earnings calendar) plus a dedicated error-handling helper.	5 / 5
Workflow Clarity	This is a reference/lookup skill with individual tasks rather than a sequenced multi-step process; error handling provides implicit validation checkpoints (checking for 'Note'/'Error Message'/'Information' keys) but no explicit end-to-end workflow with checkpoints is laid out.	3 / 5
Progressive Disclosure	Bundle files references/ENDPOINTS.md and scripts/alphavantage_client.py exist but are never referenced from SKILL.md, while the detailed endpoint tables and client-style code that belong in those files are inlined, making the SKILL.md a near-monolith that ignores its own bundles.	2 / 5
	Total	13 / 20 Passed

Description

83%Weight 40%Scale 1-5

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 clearly states capabilities and provides explicit 'Use when' trigger guidance covering the main API surfaces. Minor improvements would come from adding natural synonyms and sharpening the action verbs beyond a single 'fetching'.

Dimension	Reasoning	Score
Specificity	Names the domain and several concrete capability areas (stocks, forex, crypto, technical indicators, fundamentals, economic indicators, news sentiment), but the action language is largely a single verb ('fetching') applied across categories rather than multiple distinct concrete actions.	4 / 5
Completeness	Explicitly answers both 'what' (Alpha Vantage financial API for stocks, forex, crypto, and 50+ technical indicators) and 'when' (Use when fetching time series data, technical analysis, fundamentals, economic indicators, or news sentiment) with concrete trigger phrases.	5 / 5
Trigger Term Quality	Good coverage of natural terms users would say (stocks, forex, crypto, time series data, technical analysis, fundamentals, economic indicators, news sentiment), though common synonyms such as 'historical prices' or 'real-time quotes' are absent.	4 / 5
Distinctiveness Conflict Risk	Names a specific API and niche with distinct triggers, but closely related financial-data skills (finnhub-api, twelvedata-api, fmp-api) create minor overlap risk on shared trigger terms like quotes and fundamentals.	4 / 5
	Total	17 / 20 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
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	15 / 16 Passed

Repository: fernandezbaptiste/Skrillz
Path: skills/alphavantage-api/SKILL.md
Commit: 93ed392

Reviewed: 1 day ago

Table of Contents

Discovery Implementation Validation

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.