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review-management

When the user wants to analyze, respond to, or improve their app reviews and ratings. Also use when the user mentions "reviews", "ratings", "negative reviews", "how to get more reviews", "review response", or "my rating is dropping". For broader ASO audit, see aso-audit. For retention issues causing bad reviews, see retention-optimization.

70

Quality

85%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

75%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 well-structured, instruction-only skill body: tables, frameworks (HEAR), and templates make the guidance highly actionable, with a clear intake-to-output arc. The main gaps are the unspecified mechanism for fetching reviews and the absence of any validation checkpoints in the workflow.

Suggestions

Specify how to fetch reviews (tool, API, or command to run once the App ID is known) — the Initial Assessment collects the App ID but the skill never says what to do with it.

Add one or two validation checkpoints, e.g., confirm reviews were retrieved before running the sentiment categorization, and re-check response drafts against the 'What NOT to do' list before presenting them.

Consider moving the response templates and competitor review-mining sections into a one-level-deep reference file to keep SKILL.md a lean overview.

DimensionReasoningScore

Conciseness

The body is dense and table-driven with almost no concept explanation Claude already knows; only minor padding exists (the "You are an expert in app review strategy..." role preamble and a few self-evident lines like "Don't be defensive or argumentative"). This fits the 4 anchor (efficient with minor trims possible) and is not 5, since a handful of token-inefficient lines remain, nor 3, which would require noticeably more unnecessary explanation.

4 / 5

Actionability

Concrete guidance throughout: copy-paste response templates with placeholders ("Thank you for reporting this, [name]... fixed in version [X.X] releasing [date]"), a metrics table with numeric targets ("< 24 hours", "100% of negative"), specific platform constraints ("3 times per 365-day period"), and a fill-in output format. It stops short of 5 because the fetch step is never made executable — "Ask for the App ID (to fetch current reviews)" names no tool, API, or command for actually retrieving reviews.

4 / 5

Workflow Clarity

The "Initial Assessment" is an explicit numbered intake sequence, and the skill flows assessment → analysis → outputs (health report, action plan, response drafts). This matches the 4 anchor (clear sequence, minor validation gaps); it is not 5 because there are no explicit checkpoints (e.g., confirm data was retrieved before analyzing, or verify response drafts against the templates' rules), though the skill's non-destructive nature means the feedback-loop cap does not apply.

4 / 5

Progressive Disclosure

No bundle files exist (references/, scripts/, assets/ are absent), so this is scored on the single-file structure: well-organized sections (assessment, analysis, strategy, output format, related skills) with an external context pointer ("Check for `app-marketing-context.md`"). Good structure with most content appropriately placed, matching the 4 anchor; not 5 because at 154 lines the response templates and competitor-mining sections are candidates for a one-level-deep reference file, and the related-skills pointers are file names rather than navigable links.

4 / 5

Total

16

/

20

Passed

Description

95%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.

An exemplary description: explicit what-and-when structure, comprehensive natural-language triggers, and proactive disambiguation from adjacent skills. The only minor gap is that the stated actions are somewhat generic verbs rather than concrete capability statements.

DimensionReasoningScore

Specificity

"analyze, respond to, or improve their app reviews and ratings" lists several concrete actions in the domain, matching the anchor for several specific actions with minor gaps in coverage. It falls short of 5 because the actions stay at the verb level (no mention of specific deliverables like response templates or rating-prompt timing), and above 3 because more than 1-2 actions are named.

4 / 5

Completeness

It explicitly answers both: what ("analyze, respond to, or improve their app reviews and ratings") and when ("When the user wants to... Also use when the user mentions...") with concrete trigger phrases. This matches the anchor example's structure exactly and is clearly not the 4 anchor, where the 'when' is only serviceable rather than explicit and phrase-enumerated.

5 / 5

Trigger Term Quality

Quoted natural phrases — "reviews", "ratings", "negative reviews", "how to get more reviews", "review response", "my rating is dropping" — comprehensively cover the ways a user would naturally voice this need, including colloquial sentence-level triggers. Only trivially related synonyms (e.g., "app store reviews", "star rating") are absent, which keeps it at 5 rather than below given the anchor's standard of comprehensive natural-term coverage with variations.

5 / 5

Distinctiveness Conflict Risk

The app-store review/ratings niche is distinct, triggers are unambiguous, and it actively disambiguates against sibling skills ("For broader ASO audit, see aso-audit. For retention issues causing bad reviews, see retention-optimization."). Clear niche with distinct triggers and minimal conflict risk, matching the 5 anchor.

5 / 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
Eronred/aso-skills
Reviewed

Table of Contents

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