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 agentmods add skills/firecrawl/web-agent/competitor-analysisnpx skills add firecrawl/web-agent --skill competitor-analysisgit clone --depth 1 https://github.com/firecrawl/web-agentWhat 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 | $0.00108 | $0.01083 |
| Opus 5 | $0.00054 | $0.00541 |
| Sonnet 5 | $0.00022 | $0.00217 |
| Haiku 4.5 | $0.00011 | $0.00108 |
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 2d 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 — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitor Analysis
Structured side-by-side comparison of competing products. Designed for search + scrape; no interact needed for typical marketing/pricing pages.
When to use
- User names 2+ companies or products: "compare Vercel, Netlify, Cloudflare Pages"
- User names a category only: "best CDNs for edge functions" — search to discover the top 3–5 players, then analyze
- User asks for alternatives: "what are the alternatives to X?"
- User wants a feature matrix or positioning summary
Do NOT use for single-vendor deep-dives — use deep-research or structured-extraction instead.
Strategy
-
Identify competitors.
- If the user listed them, use that list.
- Otherwise search once:
"top <category> providers 2026"or"<product> alternatives". Pick the 3–5 most-cited.
-
For each competitor, gather three pages:
- Homepage — one-line positioning, target audience
- Pricing page (usually
/pricingor/plans) — tiers, units, free tier, enterprise gate - Features or product page — top 5–10 capabilities, any standout differentiators
-
Fan out when scale warrants.
- 2–3 competitors: stay in the orchestrator, scrape serially or with parallel tool calls.
- 4+ competitors: use
spawnAgents, one worker per competitor. Each worker gets the 3 URLs above and returns a normalized sub-object.
-
Normalize before formatting.
- Align pricing tiers by role (Free / Pro / Team / Enterprise) even when vendors name them differently.
- Call out where a competitor has a capability the others don't.
- Flag anything missing (e.g. "Enterprise pricing is contact-sales only").
-
Call
formatOutputonce at the end with the full matrix.
Quick start
await agent.run({
prompt: 'Compare Vercel, Netlify, and Cloudflare Pages on pricing, edge functions, and free tier generosity',
skills: ['competitor-analysis'],
format: 'json',
})
// User gave only a category — discover competitors first
await agent.run({
prompt: 'Compare the top 4 vector databases for production RAG workloads',
skills: ['competitor-analysis'],
format: 'json',
})
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.
- 2d ago First seen · 107 lines · 108 tokens per session scan A f74300e388c3
competitor-analysis is a skill published in the GitHub repository firecrawl/web-agent (1,223 stars, last pushed 4mo ago), licensed MIT. It adds 108 tokens to every session and 1,083 once invoked, about $0.0005 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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