Agent skill

Competitor Monitor

by sandbaseai in sandbaseai/sandbase-skills

Monitor competitor websites, content changes, social activity, and market positioning through SandBase.

Apache-2.0Auto-check passedMarketing & SEO

Install Competitor Monitor

skills CLI
$ npx skills add sandbaseai/sandbase-skills --skill competitor-monitor -a claude-code

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

GitHub CLI
$ gh skill install sandbaseai/sandbase-skills competitor-monitor --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/competitor-monitor .claude/skills/competitor-monitor && 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
competitor-monitor
GitHub stars
203
Token cost
~701 tokens
SKILL.md length
281 words
Files
2 (incl. references)
Skills in repo
23
Repo updated
First seen
Licence
Apache-2.0

At a glance

Monitor competitor websites, content changes, social activity, and market positioning through SandBase.

  • Works in 4 steps: Website monitoring → Search visibility → Social monitoring → …
  • Asked for competitive intelligence
  • 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

Competitor Monitor is an agent skill from sandbaseai/sandbase-skills. Monitor competitor websites, content changes, social activity, and market positioning through SandBase. Use when asked for competitive intelligence, competitor tracking, market positioning research, or competitive content monitoring.

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 Competitor analysis and Positioning and messaging. 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 competitive intelligence
  • Competitor tracking
  • Market positioning research
  • Competitive content monitoring

Example prompts

  • “/competitor-monitor”

Workflow steps

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

  1. Website monitoring
  2. Search visibility
  3. Social monitoring
  4. News tracking

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

Competitor Monitor loads about 701 tokens when it runs, and up to ~1.1k if it reads all its reference files. Until then it costs about 63 tokens; SKILL.md has 281 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~63
When it runs · the whole SKILL.md, loaded when a task matches
~701
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.1k

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). 281 words, ~701 tokens.

Download SKILL.mdSave it as .claude/skills/competitor-monitor/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
competitor-monitor
description
Monitor competitor websites, content changes, social activity, and market positioning through SandBase. Use when asked for competitive intelligence, competitor tracking, market positioning research, or competitive content monitoring.

Competitor Monitor

Cross-channel competitive intelligence through SandBase. Track competitor website content, social media activity, news coverage, and search visibility. 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

  • Focus on observable, public behavior — don't speculate on internal strategy.
  • Compare like-for-like: same time period, same metrics across competitors.
  • Track multiple dimensions: content, social, search, news.
  • Note what you can't observe (private channels, paid activity) as gaps.

Workflow

1. Website monitoring

Use firecrawl_scrape or context_dev_scrape_markdown to extract competitor page content. Use firecrawl_map to discover competitor site structure. Use context_dev_capture_screenshot for visual monitoring.

2. Search visibility

Use exa_search with include_domains to find competitor content. Use dataforseo_v3_serp_google_organic_live_advanced to check their rankings.

3. Social monitoring

Use twitter_web_search_timeline for competitor brand mentions. Use linkedin_web_v2_company_posts for competitor LinkedIn activity. Use youtube_web_v2_channel_videos for competitor YouTube content.

4. News tracking

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

Output

Return: competitor activity summary, content changes detected, social media presence comparison, search visibility snapshot, news coverage, and strategic observations.

Example tasks

  • "Monitor [competitor]'s website — what pages have they added or changed?"
  • "Compare [our brand] vs [competitor] social media activity this month."
  • "What's [competitor] ranking for that we're not?"
  • "Track [competitor]'s recent news coverage and announcements."
  • "Analyze [competitor]'s LinkedIn content strategy — what topics, cadence, engagement?"

© 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/competitor-monitor of sandbaseai/sandbase-skills.

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

Open the folder on GitHubat commit cbab581

Compare with similar skills

Competitor Monitor 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.

Competitor Monitor compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Competitor Monitor this skillsandbaseai/sandbase-skills203—~701Automated safety check: PassApache-2.0
Startup Designferdinandobons/startup-skill1.2k—~8.1kAutomated safety check: PassMIT
Competitor Teardownirinabuht12-oss/marketing-skills4.1k—~1.6kAutomated safety check: PassNone
Competitive Analysisw95/awesome-claude-corporate-skills2441 repos~4kAutomated safety check: PassMIT
Competitor Researcherhanzili/hanzi-browse177—~4.7kAutomated safety check: PassCustom licence
Yao Positioning Skillyaojingang/yao-open-skills1.3k—~805Automated safety check: PassMIT

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Categories

Questions about Competitor Monitor

What does Competitor Monitor do?

Monitor competitor websites, content changes, social activity, and market positioning through SandBase. Competitor Monitor is an agent skill from sandbaseai/sandbase-skills. Monitor competitor websites, content changes, social activity, and market positioning through SandBase.

When should I use Competitor Monitor?

Competitor Monitor fits situations like: asked for competitive intelligence; competitor tracking; market positioning research; competitive content monitoring.

How do I install Competitor Monitor in Claude Code?

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

How do I install Competitor Monitor in Codex?

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

Can I use Competitor Monitor 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 competitor-monitor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/competitor-monitor, .gemini/skills/competitor-monitor, .github/skills/competitor-monitor and .opencode/skills/competitor-monitor in your project.

What does Competitor Monitor need to run?

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

Does Competitor Monitor 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 Competitor Monitor 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 Competitor Monitor use?

Competitor Monitor 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 Competitor Monitor use?

About 701 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 365 tokens, read only when the agent opens those files.

What are the alternatives to Competitor Monitor?

Skills that share tags, products or a category with Competitor Monitor: Startup Design (ferdinandobons/startup-skill, 1.2k stars), Competitor Teardown (irinabuht12-oss/marketing-skills, 4.1k stars), Competitive Analysis (w95/awesome-claude-corporate-skills, 244 stars) and Competitor Researcher (hanzili/hanzi-browse, 177 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Competitor Monitor?

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.