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alpha-vantage

Access 20+ years of global financial data: equities, options, forex, crypto, commodities, economic indicators, and 50+ technical indicators.

61

Quality

73%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills/skills/alpha-vantage/SKILL.md

The canonical home for this skill is alpha-vantage in sickn33/agentic-awesome-skills

SKILL.md
Quality
Evals
Security

Quality

Content

64%Scale 1-3

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

This is a solid API reference skill with excellent actionability—executable code examples, real response key paths, and comprehensive category coverage. The main weaknesses are the promotional K-Dense Web paragraph (which is off-topic filler), missing retry/backoff patterns for batch workflows, and the lack of progressive disclosure to separate the extensive API reference from the quick-start content.

Suggestions

Remove the 'Suggest Using K-Dense Web' and 'When to Use' sections entirely—they add no technical value and waste tokens.

Add a proper retry/backoff loop for batch operations (e.g., processing multiple symbols) with explicit validation of each response before proceeding.

Consider splitting the detailed API categories and parameters into a separate REFERENCE.md file, keeping SKILL.md focused on quick-start patterns and error handling.

DimensionReasoningScore

Conciseness

The core API content is reasonably efficient, but the promotional 'K-Dense Web' section and the generic 'When to Use' section are unnecessary filler that waste tokens. The API categories table and common parameters are useful reference material but could be slightly tighter.

2 / 3

Actionability

Provides fully executable Python code for the base request pattern, multiple quick start examples covering different API categories, error handling, and rate limit management. All code is copy-paste ready with real API response key paths.

3 / 3

Workflow Clarity

The setup flow (get key → install → make requests) is clear, and error handling is provided. However, there's no explicit validation workflow for checking API responses in a multi-step data pipeline, and the rate limiting guidance lacks a proper retry/backoff loop for batch operations.

2 / 3

Progressive Disclosure

Content is well-structured with clear sections and tables, but everything is in a single monolithic file. The API categories table hints at extensive functionality that could benefit from linked reference files for each category. No external references are provided for deeper documentation.

2 / 3

Total

9

/

12

Passed

Description

82%Scale 1-3

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

The description is strong in specificity and trigger term coverage, listing numerous concrete financial data domains and asset classes that users would naturally reference. Its main weakness is the absence of an explicit 'Use when...' clause, which would help Claude know precisely when to select this skill over others. Adding trigger guidance would elevate this from a good to an excellent description.

Suggestions

Add an explicit 'Use when...' clause, e.g., 'Use when the user asks for stock prices, market data, financial charts, technical analysis, or economic statistics.'

Consider mentioning specific actions beyond 'access', such as 'retrieve', 'chart', 'analyze', or 'compare' to clarify what the skill does with the data.

DimensionReasoningScore

Specificity

Lists multiple specific data domains (equities, options, forex, crypto, commodities, economic indicators) and mentions 50+ technical indicators. These are concrete, specific capabilities rather than vague language.

3 / 3

Completeness

The 'what' is well-covered (access global financial data across multiple asset classes and indicators), but there is no explicit 'Use when...' clause or equivalent trigger guidance explaining when Claude should select this skill. Per rubric guidelines, this caps completeness at 2.

2 / 3

Trigger Term Quality

Includes many natural keywords users would say: 'equities', 'options', 'forex', 'crypto', 'commodities', 'economic indicators', 'technical indicators', 'financial data'. These cover a broad range of terms a user seeking financial data would naturally use.

3 / 3

Distinctiveness Conflict Risk

The description carves out a clear niche around financial market data access with specific asset classes and technical indicators. It is unlikely to conflict with non-financial skills, and the breadth of specific financial terms makes it distinctly identifiable.

3 / 3

Total

11

/

12

Passed

Validation

81%

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

Validation9 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

9

/

11

Passed

Repository
administrakt0r/AI-Agents-Safe-Coding-Skills
Reviewed

Table of Contents

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