apify-brand-reputation-monitoring

apify-brand-reputation-monitoring is a skill for Claude Code from lingxling/awesome-skills-cn. It costs 25 tokens per session (1,250 once invoked), scanned A, a copy of apify-brand-reputation-monitoring, MIT.

A workflow for collecting reviews, ratings, and brand mentions from maps, travel sites, social networks, and other platforms. It uses Apify Actors to gather and summarize reputation signals.

In plain words
What is it for?
Use it to export business reviews and ratings, track brand mentions, monitor sentiment signals, and summarize changes in public reputation.
Why use it?
It removes the need to check many platforms manually and helps bring scattered customer feedback into one monitoring result.

Skill for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT} variable.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the agentic-awesome-skills plugin — 174 skills shipped together

Good fit Use it to export business reviews and ratings, track brand mentions, monitor sentiment signals, and summarize changes in public reputation.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add lingxling/awesome-skills-cn
Claude Code
/plugin install agentic-awesome-skills

Made for: Claude Code.

Or install agentic-awesome-skills, the plugin that ships this one along with the rest of its 174 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for apify-brand-reputation-monitoring

README.md
[![agentmods](https://agentmods.dev/badge/skills/lingxling/awesome-skills-cn/apify-brand-reputation-monitoring/github.svg)](https://agentmods.dev/skills/lingxling/awesome-skills-cn/apify-brand-reputation-monitoring)
Your own site
<a href="https://agentmods.dev/skills/lingxling/awesome-skills-cn/apify-brand-reputation-monitoring"><img src="https://agentmods.dev/badge/skills/lingxling/awesome-skills-cn/apify-brand-reputation-monitoring/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for apify-brand-reputation-monitoring

Your own site · 80×15
<a href="https://agentmods.dev/skills/lingxling/awesome-skills-cn/apify-brand-reputation-monitoring"><img src="https://agentmods.dev/badge/skills/lingxling/awesome-skills-cn/apify-brand-reputation-monitoring.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,250 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 92% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00025 $0.01250
Opus 5.5 $0.00010 $0.00500
Sonnet 5.5 $0.00005 $0.00250
Haiku 4.5 $0.00003 $0.00125

Measured 19d ago against content hash 8c7e724b350e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

apify-brand-reputation-monitoring scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 19d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (reference/scripts/run_actor.js), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

92% identical to apify-brand-reputation-monitoring — 37 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

antigravity-awesome-skills/plugins/agentic-awesome-skills-claude/skills/apify-brand-reputation-monitoring/SKILL.md · 134 lines

How it starts

The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Brand Reputation Monitoring

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

When to Use

  • You need to monitor reviews, ratings, or brand mentions across social, travel, or map platforms.
  • The task is to select and run an Apify Actor for brand sentiment or reputation tracking.
  • You need exported monitoring results and a summary of reputation signals.

Prerequisites

(No need to check it upfront)

  • .env file with APIFY_TOKEN
  • Node.js 20.6+ (for native --env-file support)
  • mcpc CLI tool: npm install -g @apify/mcpc

Workflow

Copy this checklist and track progress:

Task Progress:
- [ ] Step 1: Determine data source (select Actor)
- [ ] Step 2: Fetch Actor schema via mcpc
- [ ] Step 3: Ask user preferences (format, filename)
- [ ] Step 4: Run the monitoring script
- [ ] Step 5: Summarize results

Step 1: Determine Data Source

Select the appropriate Actor based on user needs:

User Need Actor ID Best For
Google Maps reviews compass/crawler-google-places Business reviews, ratings
Google Maps review export compass/Google-Maps-Reviews-Scraper Dedicated review scraping
Booking.com hotels voyager/booking-scraper Hotel data, scores
Booking.com reviews voyager/booking-reviews-scraper Detailed hotel reviews
TripAdvisor reviews maxcopell/tripadvisor-reviews Attraction/restaurant reviews
Facebook reviews apify/facebook-reviews-scraper Page reviews
Facebook comments apify/facebook-comments-scraper Post comment monitoring
Facebook page metrics apify/facebook-pages-scraper Page ratings overview
Facebook reactions apify/facebook-likes-scraper Reaction type analysis
Instagram comments apify/instagram-comment-scraper Comment sentiment
Instagram hashtags apify/instagram-hashtag-scraper Brand hashtag monitoring
Instagram search apify/instagram-search-scraper Brand mention discovery
Instagram tagged posts apify/instagram-tagged-scraper Brand tag tracking
Instagram export apify/export-instagram-comments-posts Bulk comment export
Instagram comprehensive apify/instagram-scraper Full Instagram monitoring
Instagram API apify/instagram-api-scraper API-based monitoring
YouTube comments streamers/youtube-comments-scraper Video comment sentiment
TikTok comments clockworks/tiktok-comments-scraper TikTok sentiment

Read the full file on GitHub · 134 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 19d ago First seen · 134 lines · 25 tokens per session scan A 8c7e724b350e

Subscribe to this mod's changes

apify-brand-reputation-monitoring is a skill published in the GitHub repository lingxling/awesome-skills-cn (321 stars, last pushed 19d ago), licensed MIT. It adds 25 tokens to every session and 1,250 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 92% identical to apify-brand-reputation-monitoring, differing in 37 lines, and is treated as a copy.

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