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 tuliosousapro/SaaS-blueprint --skill competitor-analysisgit clone --depth 1 https://github.com/tuliosousapro/SaaS-blueprintWrote 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/tuliosousapro/saas-blueprint/competitor-analysis)<a href="https://agentmods.dev/skills/tuliosousapro/saas-blueprint/competitor-analysis"><img src="https://agentmods.dev/badge/skills/tuliosousapro/saas-blueprint/competitor-analysis/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/tuliosousapro/saas-blueprint/competitor-analysis"><img src="https://agentmods.dev/badge/skills/tuliosousapro/saas-blueprint/competitor-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00036 | $0.01049 |
| Opus 5 | $0.00018 | $0.00524 |
| Sonnet 5 | $0.00007 | $0.00210 |
| Haiku 4.5 | $0.00004 | $0.00105 |
Grade A, and why
competitor-analysis 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 9d 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 — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitor Analysis Skill
When to Use
- During Phase 0 (Idea) → Competitor Analysis module
- When evaluating a new market or niche
- Before any pricing strategy or positioning work
- When a user says "who else does this?" or "what's out there?"
Tools Required
| Tool | Purpose |
|---|---|
firecrawl_search |
Discover competitors via web search |
firecrawl_map |
Crawl competitor site structure |
firecrawl_scrape |
Extract full page content for analysis |
firecrawl_extract |
Pull structured data (pricing, features) |
Instructions
1. Identify Competitors
Run parallel searches:
firecrawl_search: "{product_description} SaaS alternatives"
firecrawl_search: "{problem_statement} software solutions"
firecrawl_search: "best {category} tools 2025 2026"
firecrawl_search: "{category} vs comparison"
Categorize into:
- Direct competitors: Same problem, same audience, same delivery model
- Indirect competitors: Same problem, different approach (e.g., agencies, spreadsheets)
- Aspirational: Where we want to be in 2+ years
2. Deep Teardown (Per Competitor)
For each direct competitor (max 5):
a. Pricing Intelligence
firecrawl_extract:
urls: ["{competitor}/pricing"]
prompt: "Extract all pricing tiers, prices, billing frequency, feature limits per tier, and any free tier details"
schema: {
tiers: [{
name: string,
price_monthly: string,
price_annual: string,
features: [string],
limits: [string]
}],
free_tier: boolean,
enterprise_custom: boolean
}
b. Feature Inventory
firecrawl_scrape:
url: "{competitor}/features"
formats: ["json"]
jsonOptions:
prompt: "List every feature mentioned on this page with a one-line description"
schema: {
features: [{ name: string, description: string, category: string }]
}
c. Positioning & Messaging
firecrawl_scrape:
url: "{competitor}"
formats: ["markdown"]
onlyMainContent: true
Extract from the homepage:
- Headline / value proposition
- Target audience language
- Key differentiators they claim
- Social proof (customer count, logos, testimonials)
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.
- 9d ago First seen · 136 lines · 36 tokens per session scan A dc9bdaa77921
competitor-analysis is a skill published in the GitHub repository tuliosousapro/SaaS-blueprint (4 stars, last pushed 8d ago), licensed MIT. It adds 36 tokens to every session and 1,049 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 2026-08-31.
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