Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add sandbaseai/sandbase-skills --skill competitor-monitorgit clone --depth 1 https://github.com/sandbaseai/sandbase-skillsWrote 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.
[](https://agentmods.dev/skills/sandbaseai/sandbase-skills/competitor-monitor)<a href="https://agentmods.dev/skills/sandbaseai/sandbase-skills/competitor-monitor"><img src="https://agentmods.dev/badge/skills/sandbaseai/sandbase-skills/competitor-monitor/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.
<a href="https://agentmods.dev/skills/sandbaseai/sandbase-skills/competitor-monitor"><img src="https://agentmods.dev/badge/skills/sandbaseai/sandbase-skills/competitor-monitor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00040 | $0.00500 |
| Opus 5 | $0.00020 | $0.00250 |
| Sonnet 5 | $0.00008 | $0.00100 |
| Haiku 4.5 | $0.00004 | $0.00050 |
Grade A, and why
competitor-monitor 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 12d ago.
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.
How it starts
The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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
For every selected tool, call sandbase_describe_tool first and use only arguments in its current input schema. Then call sandbase_call_tool with the exact tool_name.
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?"
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.
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.
- 12d ago First seen · 56 lines · 40 tokens per session scan A 4cf5b35e58df
competitor-monitor is a skill published in the GitHub repository sandbaseai/sandbase-skills (159 stars, last pushed 4d ago), licensed Apache-2.0. It adds 40 tokens to every session and 500 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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