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ga4

Read Google Analytics 4 reporting data through the GA4 Data API. Use for explicit GA4 property metadata, compatible metric/dimension reports, traffic analysis, key events, quotas, and bounded exports.

75

Quality

94%

Does it follow best practices?

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SecuritybySnyk

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Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

96%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 efficient, highly actionable GA4 skill body: executable commands, strict input bounds, built-in compatibility/metadata validation, and an explicit failure boundary. Structure and bundle references are good, with only minor room to surface the helper scripts more explicitly as navigation pointers.

DimensionReasoningScore

Conciseness

Lean throughout: no explaining of what GA4 or OAuth is, every section packed with precise technical detail (property ID digit bounds, filter grammar, page-size limits, quota fields), and every token earns its place.

5 / 5

Actionability

Provides copy-paste-ready, fully-specified commands for auth, metadata, compatibility, and reports with all flags and a concrete worked example; covers the common cases completely.

5 / 5

Workflow Clarity

Clear sequence (Setup → Discover/preflight → Reports → Failure boundary) with explicit validation checkpoints (automatic metadata fetch + checkCompatibility before every report) and a failure-boundary feedback loop that stops the whole bounded request on malformed data.

5 / 5

Progressive Disclosure

Well-organized sections with one-level-deep references to real bundle files ({baseDir}/scripts/ga4_auth.py, ga4_query.py, requirements.txt); the scripts are embedded in commands rather than separately signaled as 'see X for details', a minor organization gap.

4 / 5

Total

19

/

20

Passed

Description

92%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 pairs a concrete capability statement with an explicit 'Use for…' trigger clause covering several GA4-specific scenarios. It is specific, distinctive, and actionable; only slightly short of perfect trigger-term breadth.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'Read Google Analytics 4 reporting data', 'property metadata', 'compatible metric/dimension reports', 'traffic analysis', 'key events', 'quotas', 'bounded exports' — giving comprehensive coverage rather than generic language.

5 / 5

Completeness

Explicitly answers both 'what' ('Read GA4 reporting data through the GA4 Data API') and 'when' ('Use for explicit GA4 property metadata, compatible metric/dimension reports, traffic analysis, key events, quotas, and bounded exports') with concrete trigger phrases.

5 / 5

Trigger Term Quality

Includes natural synonyms users say ('GA4', 'Google Analytics 4', 'traffic analysis', 'key events', 'quotas') but omits a few common terms (e.g. 'sessions', 'pageviews', 'conversions'); good but not exhaustive coverage.

4 / 5

Distinctiveness Conflict Risk

Targets a clear niche (GA4 Data API reporting) with distinct triggers (key events, quotas, compatibility reports), making overlap with other skills minimal.

5 / 5

Total

19

/

20

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

metadata_field

'metadata' should map string keys to string values

Warning

Total

14

/

16

Passed

Repository
jdrhyne/agent-skills
Reviewed

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