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apify-brand-reputation-monitoring

Scrape reviews, ratings, and brand mentions from multiple platforms using Apify Actors.

Quality

75%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills/skills/apify-brand-reputation-monitoring/SKILL.md

The canonical home for this skill is apify-brand-reputation-monitoring in sickn33/agentic-awesome-skills

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 tight, well-structured operational skill: concrete commands, a clear five-step checklist, and an error-recovery table. The main gaps are the missing worked example for actor input JSON, no explicit post-run validation step, and a script dependency that is not part of the visible bundle.

Suggestions

Include one concrete example JSON_INPUT for the most common case (e.g., a compass/Google-Maps-Reviews-Scraper query with a placeId and maxReviews), since constructing actor inputs is the step most likely to fail.

Add an explicit validation checkpoint between Steps 4 and 5: confirm the output file exists and contains rows (or the chat results are non-empty) before summarizing, with a retry path if empty.

Verify the referenced ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js actually ships with the skill bundle, or inline the script's usage contract (flags, exit codes) so the dependency is self-contained.

DimensionReasoningScore

Conciseness

The body is lean: an actor-selection table, exact commands, and a terse error table with no explanation of concepts Claude already knows. Minor trims are possible — the H1 paragraph repeats the description verbatim, "(No need to check it upfront)" is filler, and "Based on character of use case" is vague — so it does not reach the every-token-earns-its-place bar of 5.

4 / 5

Actionability

Steps 2 and 4 provide concrete, mostly copy-paste bash commands with clearly marked placeholders (ACTOR_ID, JSON_INPUT) for all three output modes. It falls short of 5 because no concrete example JSON_INPUT for a common case (e.g., a Google Maps reviews query) is given, leaving the most error-prone step — constructing the actor input — without a worked example.

4 / 5

Workflow Clarity

The five steps are clearly sequenced with a copyable progress checklist, and the Error Handling section provides error-to-fix feedback ("Run FAILED" → check console link, "Timeout" → reduce input or raise --timeout). It is not 5 because there is no explicit post-run validation checkpoint (e.g., verify the output file exists and is non-empty before reporting) and the mcpc schema output is not checked before building the input.

4 / 5

Progressive Disclosure

The body is well-organized into sections that each earn their place, and it appropriately delegates actor input schemas to a runtime fetch rather than inlining them. It is not 5 because it depends on ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js, which is not present in this skill's bundle, and the large actor table is inline content that could live in a reference file.

4 / 5

Total

16

/

20

Passed

Description

66%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.

The description is concise, specific, and names its tooling clearly, with good natural trigger terms. Its main weakness is the absence of any explicit "when to use" trigger clause, which caps completeness and slightly limits discoverability.

Suggestions

Add an explicit trigger clause, e.g. "Use when the user wants to collect reviews, ratings, or brand mentions from platforms like Google Maps, Booking, TripAdvisor, Facebook, Instagram, YouTube, or TikTok."

Mention one or two concrete platform names (Google Maps, TripAdvisor, social media) as trigger keywords, since users typically name the platform they want monitored.

Optionally hint at the outcome (export to CSV/JSON or display in chat) so the "what" covers the full action, not just collection.

DimensionReasoningScore

Specificity

"Scrape reviews, ratings, and brand mentions" lists several concrete data targets and names the tool ("using Apify Actors") and scope ("multiple platforms"). It is not 5 because coverage is limited to a single verb (scraping) with no mention of export, filtering, or analysis actions, and not 3 because it goes beyond 1-2 actions by naming multiple specific scrape targets plus the mechanism.

4 / 5

Completeness

The "what" is clearly stated (scrape reviews, ratings, and brand mentions via Apify Actors), but there is no "Use when..." clause or equivalent trigger guidance, which caps completeness at 3 per the judging guidelines. It is not 2 because the "what" is concrete and specific rather than vague.

3 / 5

Trigger Term Quality

Natural terms like "reviews", "ratings", "brand mentions", and "scrape" match what users would say when needing this skill. It falls short of 5 because common variations users would actually say — platform names (Google Maps, TripAdvisor, Booking, YouTube), "social media monitoring", "sentiment" — are absent.

4 / 5

Distinctiveness Conflict Risk

The combination of review/rating scraping, brand-mention monitoring, and Apify Actors carves a clear niche with only minor overlap risk against generic web-scraping or data-collection skills. It is not 5 because "multiple platforms" leaves the boundary slightly open to broader scraping skills.

4 / 5

Total

15

/

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

administrakt0r/AI-Agents-Safe-Coding-Skills

Path

plugins/AI-Agents-Safe-Coding-Skills/skills/apify-brand-reputation-monitoring/SKILL.md

Reviewed

Table of Contents

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