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phoenix-graphql

Write efficient GraphQL queries against the Phoenix API. Load this skill in two cases: (1) before composing any non-trivial GraphQL query yourself for data analysis (via the `phoenix-gql` bash command) — it contains schema entrypoints and patterns that eliminate the need for introspection; (2) when the user asks for help writing GraphQL queries for their own scripts, tools, or integrations against Phoenix — it covers the endpoint, authentication, and client examples.

Quality

89%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

93%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.

An exemplary reference-style skill body: lean and information-dense, fully executable examples for both internal and user-facing modes, and a clean one-level-deep reference structure verified against the actual bundle. The only gap is the absence of an explicit validation/recovery loop for query iteration, which keeps workflow clarity at 4.

DimensionReasoningScore

Conciseness

The body is dense, factual schema knowledge (entrypoints, ID conventions, TimeRange/SpanSort inputs, the 2 KiB document limit, truncatedValue vs value) with no tutorial padding and no explanation of concepts Claude already knows — it assumes GraphQL and Relay competence throughout, matching anchor 5 ('every token earns its place').

5 / 5

Actionability

Guidance is fully executable: two complete GraphQL operations with variable definitions, a ready-to-run curl command, an httpx client pattern, concrete CLI flags (--data-only, --vars, --output), and copyable filter examples like "status_code == 'ERROR'" — covering the common internal and external cases, matching anchor 5.

5 / 5

Workflow Clarity

The flow is clear — explicit two-mode dispatch, per-entrypoint usage guidance, load-conditions for each reference ('Load it before writing any condition beyond the one-liners below'), and a permission-check step ('run phoenix-gql --help for flags and current permissions') — but there is no explicit validate-then-fix loop for query iteration, so it sits at anchor 4 rather than 5.

4 / 5

Progressive Disclosure

The ~110-line body is a well-signaled overview whose 'Schema map' lists seven real, one-level-deep reference files, each with a scope description and a 'load only the one(s) you need' instruction, while universally-applicable conventions and patterns stay inline — matching anchor 5 (verified: all referenced files exist; the single lateral cross-link in project-spans-traces.md points to filter-expressions.md, which is also listed directly in the schema map, so no nested-reference harm).

5 / 5

Total

19

/

20

Passed

Description

82%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 description that explicitly covers both what the skill does and two concrete load triggers, with good natural keyword coverage and minimal conflict risk. Its one defect is voice: the imperative 'Load this skill' and second-person 'yourself' violate the third-person guideline, capping specificity.

Suggestions

Rewrite in third person to avoid the second-person penalty, e.g. 'Write efficient GraphQL queries against the Phoenix API... Load this skill before composing...' → 'Use when composing any non-trivial GraphQL query against Phoenix for data analysis, or when the user asks for help writing GraphQL for their own scripts or integrations.'

Add a few natural trigger synonyms (e.g. 'gql', 'query Phoenix data', 'Phoenix API access') to broaden keyword coverage toward anchor 5.

DimensionReasoningScore

Specificity

The description names the domain and several concrete capabilities ('Write efficient GraphQL queries', 'schema entrypoints and patterns that eliminate the need for introspection', 'the endpoint, authentication, and client examples'), which sits at anchor 4; however, it uses second-person/imperative voice ('Load this skill in two cases', 'before composing any non-trivial GraphQL query yourself'), which the guidelines penalize by reducing the specificity score by 1.

3 / 5

Completeness

Both 'what' ('Write efficient GraphQL queries against the Phoenix API... contains schema entrypoints and patterns... covers the endpoint, authentication, and client examples') and 'when' ('Load this skill in two cases: (1) before composing any non-trivial GraphQL query... (2) when the user asks for help writing GraphQL queries for their own scripts, tools, or integrations') are explicitly stated with concrete trigger phrases, matching anchor 5 exactly.

5 / 5

Trigger Term Quality

Good natural keyword coverage — 'GraphQL queries', 'Phoenix API', 'data analysis', 'scripts, tools, or integrations', 'authentication' — matching phrases users would actually say; a few natural variations (e.g. 'gql', 'query Phoenix data') are missing, so it does not reach the comprehensive-synonym level of anchor 5.

4 / 5

Distinctiveness Conflict Risk

The niche is clear and tightly scoped — GraphQL queries against the Phoenix API via the `phoenix-gql` command — with distinct triggers that would not naturally fire for unrelated skills, matching anchor 5's 'clear niche with distinct triggers; minimal conflict risk'.

5 / 5

Total

17

/

20

Passed

Validation

93%

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

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

Total

15

/

16

Passed

Repository

Arize-ai/phoenix

Path

src/phoenix/server/agents/prompts/skills/phoenix-graphql/SKILL.md

Reviewed

Table of Contents

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