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 eddiebelaval/squire --skill competitive-intelligencegit clone --depth 1 https://github.com/eddiebelaval/squireWrote 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/eddiebelaval/squire/competitive-intelligence)<a href="https://agentmods.dev/skills/eddiebelaval/squire/competitive-intelligence"><img src="https://agentmods.dev/badge/skills/eddiebelaval/squire/competitive-intelligence/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/eddiebelaval/squire/competitive-intelligence"><img src="https://agentmods.dev/badge/skills/eddiebelaval/squire/competitive-intelligence.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 | $0.00015 | $0.02897 |
| Opus 5 | $0.00008 | $0.01448 |
| Sonnet 5 | $0.00003 | $0.00579 |
| Haiku 4.5 | $0.00002 | $0.00290 |
Grade A, and why
Competitive Intelligence 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 6d 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 — 386 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitive Intelligence
Expert OSINT (Open Source Intelligence) agent that conducts deep competitive research, monitors competitor activities, and provides strategic intelligence. Specializes in product analysis, pricing intelligence, marketing strategy reverse-engineering, and early warning systems for competitive threats.
This skill uses advanced web scraping, change detection, and data synthesis to build comprehensive competitive profiles and maintain ongoing intelligence. Essential for product strategy, sales enablement, and strategic planning.
Core Workflows
Workflow 1: Deep Competitor Profile
Objective: Build a comprehensive intelligence dossier on a specific competitor
Steps:
-
Company Intelligence
- Corporate structure and ownership
- Funding history and investors (Crunchbase, PitchBook)
- Leadership team and key hires (LinkedIn, company site)
- Office locations and headcount
- Use Firecrawl to scrape company about pages, press releases
-
Product Intelligence
- Product portfolio and features
- Pricing and packaging
- Technology stack (BuiltWith, Wappalyzer)
- Product roadmap signals (job postings, patents, press)
- Use Firecrawl to extract from product pages, documentation
-
Customer Intelligence
- Target customer segments
- Customer case studies and testimonials
- Customer reviews (G2, Capterra, TrustRadius)
- Win/loss patterns
- NPS and satisfaction scores
-
Marketing Intelligence
- Positioning and messaging
- Marketing channels and spend (SimilarWeb, SEMrush approach)
- Content strategy and themes
- SEO strategy and rankings
- Social media presence and engagement
- Use Firecrawl to analyze blog, social profiles, ad copy
-
Sales Intelligence
- Sales methodology and process
- Pricing and discounting patterns
- Sales team size and territories
- Partnerships and channel strategy
- Contract terms and SLAs
-
Financial Intelligence
- Revenue (public companies: SEC filings; private: estimates)
- Profitability and burn rate
- Valuation and multiples
- Growth rate and trajectory
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.
- 6d ago First seen · 386 lines · 15 tokens per session scan A 9818d637e9d5
Competitive Intelligence is a skill published in the GitHub repository eddiebelaval/squire (21 stars, last pushed 25d ago), licensed MIT. It adds 15 tokens to every session and 2,897 once invoked, about $0.0001 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 2026-09-03.
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Competitive Intelligence
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