Agent skill

Brand Monitoring

by sandbaseai in sandbaseai/sandbase-skills

Monitor brand mentions, sentiment, and reputation across Twitter, Reddit, news, and social platforms through SandBase.

Apache-2.0Auto-check passedMarketing & SEO

Install Brand Monitoring

skills CLI
$ npx skills add sandbaseai/sandbase-skills --skill brand-monitoring -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sandbaseai/sandbase-skills brand-monitoring --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sandbaseai/sandbase-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/research/brand-monitoring .claude/skills/brand-monitoring && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
brand-monitoring
GitHub stars
203
Token cost
~696 tokens
SKILL.md length
292 words
Files
2 (incl. references)
Skills in repo
23
Repo updated
First seen
Licence
Apache-2.0

At a glance

Monitor brand mentions, sentiment, and reputation across Twitter, Reddit, news, and social platforms through SandBase.

  • Works in 5 steps: Twitter monitoring → Reddit monitoring → News monitoring → …
  • Asked for brand monitoring
  • SKILL.md covers Call SandBase capabilities, Operating principles, Workflow and Output, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Brand Monitoring is an agent skill from sandbaseai/sandbase-skills. Monitor brand mentions, sentiment, and reputation across Twitter, Reddit, news, and social platforms through SandBase. Use when asked for brand monitoring, reputation tracking, social listening, PR coverage analysis, or competitive brand intelligence.

Its SKILL.md is about 700 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/sandbase-api-map.md`).

It sits in Marketing & SEO, covering Social media marketing. It works with X (Twitter) and Reddit. The repository describes itself as: 88 installable open-source Agent Skills for research, social intelligence, marketing, and business workflows—compatible with Codex, Claude Code, Cursor, Gemini CLI, and DeepSeek… The licence is Apache-2.0.

When your agent uses it

  • Asked for brand monitoring
  • Reputation tracking
  • Social listening
  • PR coverage analysis

Example prompts

  • “/brand-monitoring”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Twitter monitoring
  2. Reddit monitoring
  3. News monitoring
  4. Chinese platform monitoring (if applicable)
  5. Synthesize

What it can do on your machine

Read from SKILL.md and the folder at commit cbab581. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Brand Monitoring loads about 696 tokens when it runs, and up to ~995 if it reads all its reference files. Until then it costs about 67 tokens; SKILL.md has 292 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~67
When it runs · the whole SKILL.md, loaded when a task matches
~696
With references · SKILL.md plus every file in references/, read only if the agent opens them
~995

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from sandbaseai/sandbase-skills at commit cbab581, republished under its Apache-2.0 licence (© sandbaseai). 292 words, ~696 tokens.

Download SKILL.mdSave it as .claude/skills/brand-monitoring/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
brand-monitoring
description
Monitor brand mentions, sentiment, and reputation across Twitter, Reddit, news, and social platforms through SandBase. Use when asked for brand monitoring, reputation tracking, social listening, PR coverage analysis, or competitive brand intelligence.

Brand Monitoring

Cross-platform brand reputation and mention monitoring through SandBase. Track what's being said about a brand across Twitter, Reddit, news sources, and Chinese platforms. Read the API map before selecting a capability.

Call SandBase capabilities

Use the capability identifiers below as discovery hints, not MCP tool names. Find the matching endpoint with sandbase_discover(q: "<provider and capability>"); use its returned name in sandbase_inspect(name: "<returned name>"). Read inputSchema, pricing, and execute_as, then call sandbase_run using execute_as.arguments.name and schema-defined arguments. If a run_id is returned, poll sandbase_run_get(run_id: "<returned run_id>") within the task budget until completed or failed; report pending or failed runs without resubmitting them automatically.

Operating principles

  • Monitor across multiple platforms for complete coverage.
  • Separate factual mentions from sentiment/opinion.
  • Track both brand name and common misspellings/abbreviations.
  • Note platform-specific context (Twitter = real-time, Reddit = community depth, News = authority).
  • Keep client brand strategy and competitor lists confidential.

Workflow

1. Twitter monitoring

Use twitter_web_search_timeline to search brand mentions and hashtags. Use twitter_web_trending to check if brand is trending.

2. Reddit monitoring

Use reddit_app_dynamic_search to find brand discussions across subreddits.

3. News monitoring

Use tavily_search with topic "news" and brand name. Use google_news_bulk_articles for comprehensive news coverage.

4. Chinese platform monitoring (if applicable)

Use xiaohongshu_app_v2_search_notes for brand mentions on Xiaohongshu. Use weibo_web_search for Weibo brand mentions.

5. Synthesize

Aggregate mentions by platform, sentiment, volume, and trends.

Output

Return: mention volume by platform, sentiment breakdown (positive/negative/neutral), key influencer mentions, emerging issues, competitive comparison, and trend over time.

Example tasks

  • "Monitor what's being said about [brand] across Twitter, Reddit, and news this week."
  • "What's the sentiment toward [brand] on social media right now?"
  • "Has [brand] been mentioned in any negative news recently?"
  • "Compare social mentions between [our brand] and [competitor brand]."
  • "Track [product launch] reception across Twitter, Reddit, and 小红书."

© sandbaseai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in research/brand-monitoring of sandbaseai/sandbase-skills.

  • SKILL.md
  • references/sandbase-api-map.md

Open the folder on GitHubat commit cbab581

Compare with similar skills

Brand Monitoring next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Brand Monitoring compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Brand Monitoring this skillsandbaseai/sandbase-skills203—~696Automated safety check: PassApache-2.0
Blog DiscourseAgriciDaniel/claude-blog2.3k1 repos~3.4kAutomated safety check: WarnMIT
Social Listening Briefunifapi-agent/agents589—~2.7kAutomated safety check: PassMIT
Influencer Discoverytigerless-labs/influencer-discovery212—~2.5kAutomated safety check: NotesNone
Getxapi ConnectLeoYeAI/openclaw-marketing-skills1k1 repos~715Automated safety check: PassCustom licence
Business Contact and Social Links Finderbrowser-act/skills6.1k1 repos~1.6kAutomated safety check: PassMIT

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Categories

Questions about Brand Monitoring

What does Brand Monitoring do?

Monitor brand mentions, sentiment, and reputation across Twitter, Reddit, news, and social platforms through SandBase. Brand Monitoring is an agent skill from sandbaseai/sandbase-skills. Monitor brand mentions, sentiment, and reputation across Twitter, Reddit, news, and social platforms through SandBase.

When should I use Brand Monitoring?

Brand Monitoring fits situations like: asked for brand monitoring; reputation tracking; social listening; PR coverage analysis.

How do I install Brand Monitoring in Claude Code?

Run `npx skills add sandbaseai/sandbase-skills --skill brand-monitoring -a claude-code`. Or copy the skill folder (research/brand-monitoring in sandbaseai/sandbase-skills) into .claude/skills/brand-monitoring in your project. Claude Code loads it when a task matches its description.

How do I install Brand Monitoring in Codex?

Run `npx skills add sandbaseai/sandbase-skills --skill brand-monitoring -a codex`. Or copy the skill folder (research/brand-monitoring in sandbaseai/sandbase-skills) into .agents/skills/brand-monitoring in your project. Codex loads it when a task matches its description.

Can I use Brand Monitoring in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sandbaseai/sandbase-skills --skill brand-monitoring -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/brand-monitoring, .gemini/skills/brand-monitoring, .github/skills/brand-monitoring and .opencode/skills/brand-monitoring in your project.

What does Brand Monitoring need to run?

SKILL.md names no scripts, command-line tools or credentials: Brand Monitoring is instructions for the agent only.

Does Brand Monitoring access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Brand Monitoring safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Brand Monitoring use?

Brand Monitoring is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Brand Monitoring use?

About 696 tokens (SKILL.md is roughly 2.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 299 tokens, read only when the agent opens those files.

What are the alternatives to Brand Monitoring?

Skills that share tags, products or a category with Brand Monitoring: Blog Discourse (AgriciDaniel/claude-blog, 2.3k stars), Social Listening Brief (unifapi-agent/agents, 589 stars), Influencer Discovery (tigerless-labs/influencer-discovery, 212 stars) and Getxapi Connect (LeoYeAI/openclaw-marketing-skills, 1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Brand Monitoring?

sandbaseai (a GitHub organization) maintains it in sandbaseai/sandbase-skills, which has 203 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on September 26, 2026.

Source: sandbaseai/sandbase-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.