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fund-comparison

Use when comparing 2 to 4 funds or ETFs with Morningstar ratings, returns, risk, and holdings data.

80

Quality

100%

Does it follow best practices?

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

100%Weight 40%Scale 1-3

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

The skill body is a tight, actionable overview with a well-sequenced workflow, explicit validation checkpoints, and a clearly signaled single-level reference file. It assumes Claude's intelligence and adds only what is non-obvious.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence with no padded concept explanation; guardrails, workflow, and output order each earn their place token-for-token.

3 / 3

Actionability

Concrete executable guidance is given throughout: resolve identifiers, validate a 2-4 fund count, retrieve a named datapoint set, and present tables with funds as columns and metrics as rows in an ordered output sequence.

3 / 3

Workflow Clarity

A clearly sequenced numbered workflow includes explicit checkpoints such as validating that 2 to 4 active supported funds remain and stopping to ask when funds span broad asset classes.

3 / 3

Progressive Disclosure

The body is a concise overview that clearly signals the one-level-deep references/full-workflow.md file (verified to exist and contain no nested references), describing exactly what it preserves.

3 / 3

Total

12

/

12

Passed

Description

100%Weight 40%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.

A concise, well-targeted description that states concrete capabilities, gives natural trigger terms, and explicitly couples what-it-does with when-to-use it. It is clearly distinguishable from other skills.

DimensionReasoningScore

Specificity

Lists concrete comparison data facets ("Morningstar ratings, returns, risk, and holdings data") and a concrete action ("comparing 2 to 4 funds or ETFs"), matching the anchor for multiple specific concrete actions.

3 / 3

Completeness

Explicitly answers what ("comparing 2 to 4 funds or ETFs with Morningstar ratings, returns, risk, and holdings data") and when (the "Use when" trigger), so both halves are present and explicit.

3 / 3

Trigger Term Quality

Natural user terms like "comparing funds", "ETFs", "Morningstar ratings", "returns", "risk", and "holdings" give good coverage of phrases a user would actually say.

3 / 3

Distinctiveness Conflict Risk

The fund/ETF comparison niche anchored to Morningstar data is distinct and unlikely to trigger for unrelated skills.

3 / 3

Total

12

/

12

Passed

Validation

100%

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

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
openai/plugins
Reviewed

Table of Contents

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