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paid-ads-optimize

Diagnose wasted paid-ad spend, pacing, and allocation, then propose safe evidence-backed optimizations. Use for waste, negatives, budgets, bid changes, poor CPA or ROAS, underpacing, overspend, or scaling decisions.

69

Quality

85%

Does it follow best practices?

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SecuritybySnyk

Passed

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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 concise, well-organized instruction-only skill with a clear diagnostic-to-approval workflow and embedded validation guardrails. The main improvement lever is making the executable guidance slightly more concrete.

Suggestions

Add a short concrete example of a proposed mutation (scope, current value, proposed value, rationale) so the 'present each exact mutation' instruction is unambiguous and copy-paste ready.

Specify the threshold-setting rule more concretely (e.g., a minimum spend/conversions floor or a stat-sig heuristic) so 'Set a threshold appropriate to the named target CPA' is directly actionable.

Name the actual observation-window convention to use (e.g., conversion lag + N days) so 'Revisit after the declared observation window' has an explicit default.

DimensionReasoningScore

Conciseness

Lean and efficient body that assumes Claude's competence; no padding or explanation of concepts Claude already knows, and every line earns its place.

5 / 5

Actionability

Provides concrete, specific guidance (bottleneck classification list, ranked reversible-move order, required mutation fields), but as an instruction-only skill it lacks copy-paste executable code or commands, leaving minor gaps.

4 / 5

Workflow Clarity

Clear sequence of diagnose -> rank -> approval/follow-up with validation checkpoints ('Verify the conversion signal', 'Do not declare a loser from a few clicks', 'read back the result'), with only minor validation gaps relative to the explicit feedback-loop ideal.

4 / 5

Progressive Disclosure

A short (under 50 lines), single-purpose skill with no external bundle files and well-organized sections, satisfying the simple-skill exception for a top score.

5 / 5

Total

18

/

20

Passed

Description

83%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, well-structured description that clearly states the capability and gives an explicit 'Use for' trigger clause with natural keywords. Minor room to broaden action and keyword coverage for a perfect score.

DimensionReasoningScore

Specificity

Names the paid-ad domain and several concrete actions ('Diagnose wasted paid-ad spend, pacing, and allocation, then propose safe evidence-backed optimizations'), but stops short of the comprehensive multi-action coverage of a 5.

4 / 5

Completeness

Clearly answers both 'what' (diagnose then propose optimizations) and explicitly 'when' via the 'Use for ...' clause with concrete trigger phrases.

5 / 5

Trigger Term Quality

Strong natural trigger phrases users would say ('waste, negatives, budgets, bid changes, poor CPA or ROAS, underpacing, overspend, or scaling decisions'), with only minor variations or platform-specific synonyms missing.

4 / 5

Distinctiveness Conflict Risk

Occupies a clear paid-ads niche with distinct triggers and low conflict risk, though it could marginally overlap with broader marketing or analytics skills.

4 / 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
nowork-studio/notfair-plugin
Reviewed

Table of Contents

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