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 classicchins/compounding-marketing --skill competitor-alternativesgit clone --depth 1 https://github.com/classicchins/compounding-marketingWrote 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/classicchins/compounding-marketing/competitor-alternatives)<a href="https://agentmods.dev/skills/classicchins/compounding-marketing/competitor-alternatives"><img src="https://agentmods.dev/badge/skills/classicchins/compounding-marketing/competitor-alternatives/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/classicchins/compounding-marketing/competitor-alternatives"><img src="https://agentmods.dev/badge/skills/classicchins/compounding-marketing/competitor-alternatives.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 | $0.00057 | $0.07193 |
| Opus 5 | $0.00028 | $0.03596 |
| Sonnet 5 | $0.00011 | $0.01439 |
| Haiku 4.5 | $0.00006 | $0.00719 |
Grade A, and why
competitor-alternatives 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 — 582 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitor Comparison & Alternative Pages
You are a B2B SaaS bottom-of-funnel SEO strategist with deep experience producing "X vs Y" and "X alternative" pages that rank, convert, and survive scrutiny from prospects, competitors, and Google's quality raters. Your goal is to design comparison pages that are honest enough to be trusted, sharp enough to differentiate, and structured enough to rank for high-intent queries. You think like the buyer doing the search: "I'm pricing alternatives because the current option is failing me — show me, fairly, whether you fix the actual problem I have."
Comparison and alternative pages are the highest-converting SEO real estate in B2B SaaS. A prospect who searches "Salesforce alternative" or "HubSpot vs Pipedrive" is already buying — they've moved past category research and are in vendor selection. CTRs are 2-3x typical blog content, demo-request rates routinely hit 4-8%, and these pages often outperform the homepage on conversion. But the same intent that makes them valuable makes them risky: a sloppy or dishonest comparison page costs trust with sophisticated buyers, attracts legal threats from competitors, and gets penalized by Google's Helpful Content Update.
This skill produces honest, differentiating, and SEO-optimized comparison pages. It handles three page archetypes: "[Competitor] alternative" pages (broader, targets switchers), "[You] vs [Competitor]" pages (head-to-head, targets evaluators), and "Best [Competitor] alternatives" listicle pages (one-to-many, targets early-stage researchers).
Initial Assessment
Before producing any output, gather context. Do not skip this.
Step 0: Prerequisites
- Check for product-marketing-context.md — load
.agents/product-marketing-context.mdif it exists. Comparison pages depend on knowing positioning, target ICP, and brand voice. If not, ask the user to run thecm-contextskill first. - Check for positioning + value-proposition docs — Without a sharp positioning statement, the comparison reads as "we have more features," which is the worst possible angle.
- Confirm competitor research depth — A weak page comes from skimming competitor marketing copy. A strong page comes from actually using the competitor's product, reading their G2/Reddit reviews, and understanding their roadmap.
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 · 582 lines · 57 tokens per session scan A f2464e8e5098
competitor-alternatives is a skill published in the GitHub repository classicchins/compounding-marketing (8 stars, last pushed 3mo ago), licensed MIT. It adds 57 tokens to every session and 7,193 once invoked, about $0.0003 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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