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brand-monitor品牌监视器

Agent Skill

brand-monitor 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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2,584

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406

下载量

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:brand-monitor(品牌监视器)
来源仓库:https://github.com/openclaudia/openclaudia-skills
仓库路径:skills/brand-monitor
安装命令:
npx skills add https://github.com/openclaudia/openclaudia-skills --skill brand-monitor
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/openclaudia/openclaudia-skills --skill brand-monitor

简介

用于查找、检索和筛选相关信息,支持关键词和任务场景匹配。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。
  • 可结合来源仓库和原始 README 核验具体用法。
  • 安装前建议确认权限范围、维护状态及是否触发联网或文件操作。
  • 安装方式:通过 npx 从 GitHub 仓库添加技能。

SKILL.md

Brand Monitor

Track brand mentions, analyze sentiment, and discover PR opportunities using the Brand.dev API.

Prerequisites

Requires BRANDDEV_API_KEY set in .env, .env.local, or ~/.claude/.env.global.

echo "BRANDDEV_API_KEY is ${BRANDDEV_API_KEY:+set}"

If the key is not set, instruct the user:

You need a Brand.dev API key. Get one at https://brand.dev/ Then add BRANDDEV_API_KEY=your_key to your .env file.

API Base

All requests go to https://api.brand.dev/v1/ with the header Authorization: Bearer {BRANDDEV_API_KEY}.


1. Brand Search

Search for mentions of a brand name across the web.

Endpoint

GET https://api.brand.dev/v1/brand/search

Parameters

ParamTypeDescription
querystringBrand name or phrase to search
limitintNumber of results (default 20, max 100)
offsetintPagination offset
sortstringrelevance or date
from_datestringStart date (YYYY-MM-DD)
to_datestringEnd date (YYYY-MM-DD)

Example curl

curl -s -H "Authorization: Bearer ${BRANDDEV_API_KEY}" \
  "https://api.brand.dev/v1/brand/search?query=YourBrand&limit=20&sort=date"

Response Parsing

curl -s -H "Authorization: Bearer ${BRANDDEV_API_KEY}" \
  "https://api.brand.dev/v1/brand/search?query=YourBrand&limit=20" \
  | python3 -c "
import json, sys
data = json.load(sys.stdin)
for m in data.get('results', []):
    print(f\"Source: {m.get('source','')}  |  Title: {m.get('title','')}  |  Sentiment: {m.get('sentiment','n/a')}  |  Date: {m.get('published_at','')}\")
    print(f\"  URL: {m.get('url','')}\")
    print()
"

2. Brand Info Lookup

Get structured brand information for any company or product.

Endpoint

GET https://api.brand.dev/v1/brand/info

Parameters

ParamTypeDescription
domainstringCompany domain (e.g., stripe.com)
namestringBrand name (alternative to domain)

Example curl

curl -s -H "Authorization: Bearer ${BRANDDEV_API_KEY}" \
  "https://api.brand.dev/v1/brand/info?domain=stripe.com"

Response Fields

  • name: Official brand name
  • domain: Primary domain
  • description: Brand description
  • industry: Industry classification
  • founded: Year founded
  • headquarters: Location
  • social_profiles: Links to social media
  • logos: Brand logo URLs
  • colors: Brand color palette
  • employees_range: Company size estimate

3. Logo Detection

Detect brand logos in images across the web.

Endpoint

GET https://api.brand.dev/v1/logo/search

Parameters

ParamTypeDescription
brandstringBrand name to search for
domainstringFilter to specific domain
limitintNumber of results

Example curl

curl -s -H "Authorization: Bearer ${BRANDDEV_API_KEY}" \
  "https://api.brand.dev/v1/logo/search?brand=YourBrand&limit=20"

Use logo detection to find:

  • Unauthorized logo usage
  • Partner and sponsor visibility
  • Event coverage and media placements
  • Counterfeit product listings

4. Mention Tracking

Set up ongoing tracking for brand mentions.

Create a Monitor

POST https://api.brand.dev/v1/monitors

Body

{
  "name": "My Brand Monitor",
  "keywords": ["YourBrand", "Your Brand", "yourbrand.com"],
  "exclude_keywords": ["unrelated term"],
  "sources": ["news", "blogs", "social", "forums", "reviews"],
  "languages": ["en"],
  "notify_email": "alerts@yourdomain.com"
}

Example curl

curl -s -X POST -H "Authorization: Bearer ${BRANDDEV_API_KEY}" \
  -H "Content-Type: application/json" \
  "https://api.brand.dev/v1/monitors" \
  -d '{
    "name": "Brand Alert",
    "keywords": ["YourBrand"],
    "sources": ["news", "blogs", "social"],
    "languages": ["en"]
  }'

List Monitors

curl -s -H "Authorization: Bearer ${BRANDDEV_API_KEY}" \
  "https://api.brand.dev/v1/monitors"

Get Monitor Results

curl -s -H "Authorization: Bearer ${BRANDDEV_API_KEY}" \
  "https://api.brand.dev/v1/monitors/{monitor_id}/mentions?limit=50&sort=date"

5. Sentiment Analysis

Analyze sentiment of brand mentions.

Endpoint

GET https://api.brand.dev/v1/brand/sentiment

Parameters

ParamTypeDescription
querystringBrand name
from_datestringStart date
to_datestringEnd date
granularitystringday, week, or month

Example curl

curl -s -H "Authorization: Bearer ${BRANDDEV_API_KEY}" \
  "https://api.brand.dev/v1/brand/sentiment?query=YourBrand&from_date=2024-01-01&to_date=2024-03-31&granularity=week"

Sentiment Scores

  • Positive (> 0.3): Praise, recommendations, positive reviews
  • Neutral (-0.3 to 0.3): Factual mentions, news coverage
  • Negative (< -0.3): Complaints, criticism, negative reviews

6. Competitor Mention Comparison

Compare brand mention volume and sentiment against competitors.

Workflow

  1. Search mentions for your brand and each competitor
  2. Compare mention counts over the same time period
  3. Compare sentiment distributions
  4. Identify sources where competitors get mentioned but you do not
# For each brand, get mention counts
for brand in "YourBrand" "Competitor1" "Competitor2"; do
  count=$(curl -s -H "Authorization: Bearer ${BRANDDEV_API_KEY}" \
    "https://api.brand.dev/v1/brand/search?query=${brand}&limit=1" \
    | python3 -c "import json,sys; print(json.load(sys.stdin).get('total',0))")
  echo "${brand}: ${count} mentions"
done

Workflow: Full Brand Audit

When asked for a comprehensive brand monitoring report:

Step 1: Brand Info

Pull structured brand data for context.

Step 2: Mention Volume

Search for brand mentions over the last 30/90 days. Count total mentions and break down by source type.

Step 3: Sentiment Analysis

Get sentiment trends. Flag any negative spikes and investigate root causes.

Step 4: PR Opportunities

From mention data, identify:

  • High-authority sites that mention competitors but not you
  • Journalists who cover your industry
  • Trending topics where your brand could contribute
  • Unanswered questions about your brand on forums

Step 5: Logo/Visual Presence

Search for logo appearances. Flag unauthorized usage.

Step 6: Report

Present findings as:

## Brand Monitoring Report: {Brand}

### Overview
- Total mentions (last 30 days): X
- Sentiment breakdown: X% positive, X% neutral, X% negative
- Top sources: ...

### Sentiment Trend
[Weekly trend data]

### Top Positive Mentions
1. [Source] - [Title] - [URL]
2. ...

### Negative Mentions Requiring Attention
1. [Source] - [Title] - [URL] - [Issue summary]
2. ...

### PR Opportunities
1. [Publication] covers [topic] - pitch angle: ...
2. [Journalist] recently wrote about [topic] - pitch angle: ...

### Competitor Comparison
| Metric | Your Brand | Competitor A | Competitor B |
|--------|-----------|-------------|-------------|
| Mentions | ... | ... | ... |
| Positive % | ... | ... | ... |
| Top Source | ... | ... | ... |

### Action Items
- [ ] Respond to [negative mention]
- [ ] Pitch [publication] about [topic]
- [ ] Update brand listing on [platform]

Error Handling

StatusMeaning
401Invalid or expired API key
403Insufficient permissions for this endpoint
404Resource not found (check monitor ID)
429Rate limit exceeded - wait and retry
500Server error - retry after a few seconds

Tips

  • Use exact brand name + common misspellings as keywords
  • Exclude your own domain to avoid self-mentions
  • Set up monitors for competitor brands too
  • Check mentions weekly at minimum; daily during launches or crises
  • Export negative mentions to a spreadsheet for customer support follow-up

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02

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安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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Codex

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按下载量换算86

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