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/firecrawl-workflows/firecrawl-competitive-intelnpx skills add firecrawl/firecrawl-workflows --skill firecrawl-competitive-intelgit clone --depth 1 https://github.com/firecrawl/firecrawl-workflowsWrote 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/firecrawl/firecrawl-workflows/firecrawl-competitive-intel)<a href="https://agentmods.dev/skills/firecrawl/firecrawl-workflows/firecrawl-competitive-intel"><img src="https://agentmods.dev/badge/skills/firecrawl/firecrawl-workflows/firecrawl-competitive-intel.svg" alt="Measured on agentmods" 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 | $0.00045 | $0.00520 |
| Opus 5 | $0.00023 | $0.00260 |
| Sonnet 5 | $0.00009 | $0.00104 |
| Haiku 4.5 | $0.00005 | $0.00052 |
Grade A, and why
firecrawl-competitive-intel 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 5d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- firecrawl-competitive-intel — 100% identical, 0 lines differ
What it actually says
Firecrawl Competitive Intel
Use this for monitoring competitors over time. This is not the broad competitor analysis workflow.
Onboarding Interview
Infer competitors, focus, cadence, and output format from context. If competitors are clear, proceed immediately.
Ask at most 1-3 concise questions only if blocked, such as the competitor list, focus area, or whether authenticated pages/profiles are required.
Firecrawl Collection Plan
For each competitor, use Firecrawl scrape or browser as needed:
- pricing pages, annual/monthly toggles, expanded feature tables
- feature and product pages
- changelogs, blogs, release notes, docs updates
- authenticated dashboards only when the user has legitimate access
Parallel Work
If appropriate, use sub-agents or equivalent parallel task runners. A natural split is one competitor per researcher or one focus area per researcher.
Each researcher should return pricing tiers, features, recent changes, source URLs, and confidence notes.
Final Deliverable
# Competitive Intel: [Competitors]
## Alerts
[Notable pricing, feature, or positioning changes]
## Per-Competitor Breakdown
[Pricing tiers, feature inventory, recent changes]
## Cross-Competitor Comparison
[Pricing table, feature matrix, key differentiators]
## Suggested Follow-Ups
[What to monitor next]
## Sources
[URLs visited]
## Rerun Inputs
workflow: firecrawl-competitive-intel
competitors: [list]
focus: [all/pricing/features/changelog]
cadence: [one-off/weekly/monthly]
JSON Shape
When structured output is requested, include generatedAt, competitors, pricing, recentChanges, features, and sources.
Quality Bar
- Extract real plan names, limits, and dates when available.
- Note contact-sales or gated details instead of guessing.
- Preserve sources for diffing future runs.
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.
- 5d ago First seen · 77 lines · 45 tokens per session scan A a73942c75fa8
firecrawl-competitive-intel is a skill published in the GitHub repository firecrawl/firecrawl-workflows (150 stars, last pushed 14d ago), licensed ISC. It adds 45 tokens to every session and 520 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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