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graphql-expert

GraphQL expert for schema design, resolvers, subscriptions, and performance optimization

61

Quality

72%

Does it follow best practices?

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SecuritybySnyk

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tessl review fix ./crates/openfang-skills/bundled/graphql-expert/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

72%

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

The body is concise and well-organized as a self-contained reference, but it stays at the guidance level without executable examples or sequenced workflows with validation. Adding small code snippets and a validation-aware workflow would meaningfully raise actionability and workflow clarity.

Suggestions

Add short executable code snippets for the highest-value techniques (e.g. a DataLoader resolver, a graphql-ws subscription setup, a Relay connection type) to lift actionability toward 3.

Provide a sequenced workflow with explicit validation steps for at least one risky operation (e.g. schema migration with deprecation checks, or N+1 complexity analysis) to move workflow clarity from 2 to 3.

DimensionReasoningScore

Conciseness

The body is a lean reference of principles, techniques, patterns, and pitfalls with no padding or explanation of basic GraphQL concepts Claude already knows, so every token earns its place.

3 / 3

Actionability

It names specific, actionable patterns (DataLoader, graphql-ws protocol, Relay connections with edges/nodes/pageInfo, opaque base64 IDs) but provides no executable code or copy-paste examples, leaving implementation details implicit.

2 / 3

Workflow Clarity

Content is organized into clear topical sections, but it presents categorized guidance rather than a sequenced multi-step workflow, and there are no validation checkpoints or feedback loops for the riskier operations it mentions.

2 / 3

Progressive Disclosure

At under 50 lines with no need for external references, the well-organized sections (Key Principles, Techniques, Common Patterns, Pitfalls) satisfy the progressive-disclosure bar for a self-contained skill.

3 / 3

Total

10

/

12

Passed

Description

72%

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 specific and distinctive with good natural trigger terms, but it omits an explicit 'Use when...' clause, which caps completeness. Adding trigger guidance would raise the completeness and overall score.

Suggestions

Append an explicit 'Use when...' clause, e.g. 'Use when designing or debugging GraphQL schemas, writing resolvers, adding subscriptions, or optimizing query performance.'

Reframe the capability list toward concrete actions (e.g. 'Design GraphQL schemas, implement resolvers, set up subscriptions, optimize query performance') to lift specificity from 2 to 3.

DimensionReasoningScore

Specificity

Quotes 'schema design, resolvers, subscriptions, and performance optimization' name the GraphQL domain and several capability areas, but these are noun-concept lists rather than concrete verb-actions like the score-3 anchor ('Extract... fill... merge').

2 / 3

Completeness

It clearly states what the skill covers ('GraphQL expert for schema design, resolvers, subscriptions, and performance optimization') but lacks any 'Use when...' clause or explicit trigger guidance, capping completeness at 2 per the judging guidelines.

2 / 3

Trigger Term Quality

Terms 'GraphQL', 'schema design', 'resolvers', 'subscriptions', and 'performance optimization' are exactly what a user would naturally say when requesting help with a GraphQL API.

3 / 3

Distinctiveness Conflict Risk

GraphQL is a clear, well-scoped niche with distinct triggers, making it unlikely to fire for unrelated skills.

3 / 3

Total

10

/

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
RightNow-AI/openfang
Reviewed

Table of Contents

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