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attribution

Measure which platforms and touches actually drive conversions across channels, compare attribution views, and read assisted conversions and conversion paths. Use when a user asks what is really working, wants cross-platform attribution, or questions a single platform's self-reported numbers.

Quality

89%

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

86%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.

A lean, well-sequenced read-only analysis skill that names the exact tools to call and gives sharp interpretive rules (over-claiming, attribution windows, holdouts). Its main gaps are the absence of call parameters or example outputs and any explicit data-validation step.

DimensionReasoningScore

Conciseness

At roughly 30 lines, every sentence carries a directive, an exact tool name, or an interpretive rule; it assumes Claude's competence with no padding or explanation of already-known concepts.

5 / 5

Actionability

Names exact executable tools (`get_attribution`, `get_spend_reconciliation`, `ga4_get_report`, five `pull_*_performance` tools) in a defined order, but gives no parameters, date ranges, or example output formats, leaving minor gaps.

4 / 5

Workflow Clarity

A numbered 3-step sequence with a pre-flight check ('Confirm the account: `list_connected_accounts`') and an interpretive checkpoint ('State what each source measures before interpreting differences'); however, there is no explicit validation of data completeness or error-recovery loop. The destructive/batch cap does not apply since this is a reads-only skill.

4 / 5

Progressive Disclosure

Under 50 lines with no bundle files needed; the numbered sections plus a Rules section are well-organized, which per the simple-skill guideline earns a 5 without external references.

5 / 5

Total

18

/

20

Passed

Description

87%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 in third-person voice that clearly states concrete capabilities and provides explicit, natural 'Use when' triggers. Minor room to grow on trigger synonyms and covering the reconciliation/incrementality aspects found in the body.

DimensionReasoningScore

Specificity

Lists three concrete, domain-specific actions ('measure which platforms and touches actually drive conversions', 'compare attribution views', 'read assisted conversions and conversion paths'), matching the several-specific-actions anchor with minor gaps — spend reconciliation and incrementality testing covered by the body are absent.

4 / 5

Completeness

Explicitly answers both what (three named capabilities) and when ('Use when a user asks what is really working, wants cross-platform attribution, or questions a single platform's self-reported numbers') with concrete trigger phrases, matching the top anchor.

5 / 5

Trigger Term Quality

Includes natural user phrases like 'what is really working', 'cross-platform attribution', and 'questions a single platform's self-reported numbers', but misses common variations such as 'which channel gets credit', 'ROAS', 'last-click', or 'multi-touch'.

4 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (reads-only cross-platform attribution measurement) with distinct triggers that would not fire for generic analytics or campaign-management skills.

5 / 5

Total

18

/

20

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.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

Synter-Media-AI/plugin

Path

skills/attribution/SKILL.md

Reviewed

Table of Contents

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