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negative-keywords

Mine and manage negative keywords from search-term reports to stop wasted spend, and detect match-type bleed and cross-campaign conflicts. Use when a user wants to cut wasted spend, clean up search terms, build negative lists, or fix irrelevant clicks on Google or Microsoft Ads.

Quality

93%

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SecuritybySnyk

Low

Low-risk findings worth noting

The canonical home for this skill is negative-keywords in Synter-Media-AI/plugin

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 tight, well-sequenced instruction-only skill that assumes Claude's competence and supplies genuinely non-obvious operational knowledge (tool names, approval policy, categorization heuristics, guardrail rules). The main gaps are the unnamed "plan tools" for the core write action and the absence of an explicit remediation loop after the post-change verification re-pull.

Suggestions

Name the specific plan tools used to apply negatives in section 4, just as the read steps name list_connected_accounts and pull_google_ads_performance, so the write step is fully executable.

Add a brief feedback loop after the verification re-pull (e.g., what to do if the same wasteful terms still serve — tighten match types, escalate to shared lists, or re-check cross-campaign conflicts).

Specify how soon to re-pull the search-term report and what spend/conversion threshold counts as "waste stopped", making the verification checkpoint concrete.

DimensionReasoningScore

Conciseness

The ~30-line body is lean and operational: every section carries non-obvious information (tool names, the approval policy, a four-way categorization scheme, level-selection guidance) with essentially no padding beyond one orienting opening sentence. This matches the anchor for lean, efficient content where every token earns its place, rather than anchor 4's "minor instances of over-explanation".

5 / 5

Actionability

Read steps name concrete tools ("list_connected_accounts", "research_campaign_opportunity", "pull_google_ads_performance") and the categorization gives per-category actions, but the core write step — "Apply negatives through the plan tools" — does not name the specific tools, unlike the read steps. This is mostly executable guidance with a minor gap, matching anchor 4 rather than the fully copy-paste-ready anchor 5.

4 / 5

Workflow Clarity

A clear numbered sequence (read → categorize → choose level → add on approval) with an approval checkpoint before the change and a verification step ("Re-pull the search-term report after a few days to verify the waste stopped"). However, there is no explicit error-recovery feedback loop for the batch change if waste persists, so it matches anchor 4 (most checkpoints, minor validation gaps) rather than anchor 5.

4 / 5

Progressive Disclosure

The skill is a single-file bundle under 50 lines with no references/, scripts/, or assets/ directories and no content that warrants external files; sections are well-organized (numbered steps plus a Rules section). Per the rubric's simple-skill exception, this earns the top score on well-organized sections alone.

5 / 5

Total

18

/

20

Passed

Description

96%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 pairs a concrete, multi-action capability statement with an explicit, natural-language trigger clause covering wasted spend, search-term cleanup, negative lists, and irrelevant clicks on both ad platforms. The only weakness is slight trigger overlap with adjacent PPC/keyword skills. Third-person voice and concise phrasing are handled well.

DimensionReasoningScore

Specificity

"Mine and manage negative keywords from search-term reports", "detect match-type bleed", and "cross-campaign conflicts" name four concrete actions tied to a specific data source, comprehensively covering the skill's scope. This matches the anchor for multiple specific concrete actions with comprehensive coverage, not anchor 4 which requires minor gaps in coverage.

5 / 5

Completeness

The description explicitly answers both: what ("Mine and manage negative keywords... detect match-type bleed and cross-campaign conflicts") and when ("Use when a user wants to cut wasted spend, clean up search terms, build negative lists, or fix irrelevant clicks"). This is an exact match to the anchor requiring both what and when with concrete trigger phrases.

5 / 5

Trigger Term Quality

The when-clause includes natural user phrasings — "cut wasted spend", "clean up search terms", "build negative lists", "fix irrelevant clicks" — plus platform names "Google or Microsoft Ads", giving comprehensive synonym-level coverage of how users express this need. Not anchor 4, since no common natural variation is clearly missing.

5 / 5

Distinctiveness Conflict Risk

The negative-keyword/wasted-spend niche is clear and mostly distinct, but triggers like "cut wasted spend" and "clean up search terms" carry minor overlap risk with a closely related keyword-research or broader PPC-optimization skill (which the body itself cross-references). It fits anchor 4 (mostly distinct, minor overlap with closely related skills) rather than anchor 5 (minimal conflict risk).

4 / 5

Total

19

/

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

packages/claude-directory/skills/negative-keywords/SKILL.md

Reviewed

Table of Contents

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