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 maxschottke-spec/seo-survival-kit --skill channel-economics-analyzergit clone --depth 1 https://github.com/maxschottke-spec/seo-survival-kitWrote 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/maxschottke-spec/seo-survival-kit/channel-economics-analyzer)<a href="https://agentmods.dev/skills/maxschottke-spec/seo-survival-kit/channel-economics-analyzer"><img src="https://agentmods.dev/badge/skills/maxschottke-spec/seo-survival-kit/channel-economics-analyzer/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/maxschottke-spec/seo-survival-kit/channel-economics-analyzer"><img src="https://agentmods.dev/badge/skills/maxschottke-spec/seo-survival-kit/channel-economics-analyzer.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 | $0.00120 | $0.04471 |
| Opus 5 | $0.00060 | $0.02235 |
| Sonnet 5 | $0.00024 | $0.00894 |
| Haiku 4.5 | $0.00012 | $0.00447 |
Grade A, and why
channel-economics-analyzer 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 12d 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 — 353 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Channel Economics Analyzer
Overview
A simple-but-rigorous channel-level P&L calculator for multi-channel e-commerce businesses. Computes per-channel: revenue, COGS, ad-spend, marketplace fees, operating margin, break-even order count. Output: scorecard that names which channels are loss-making and the minimum monthly order volume needed for profitability.
Core principle: Revenue is vanity, margin is sanity, cash is reality. A €5k/month channel that loses €500/month is worse than no channel at all.
When to use
- Multi-channel sellers (Direct-Shop + 1+ marketplace)
- Quarterly P&L review by channel
- "Should we keep this marketplace?" decisions
- Ad budget reallocation across channels
- Founder asks "is OTTO/Amazon actually profitable for us?"
Don't use for:
- Pure direct-to-consumer (no marketplace) — trivial
- Pure dropshipping with no COGS data
- New launch <90 days (insufficient data)
Required data per channel (last 90 days)
| Data point | Source |
|---|---|
| Gross revenue | Shop/marketplace order export |
| Refunds + chargebacks | Same export |
| COGS (manufacturing cost per unit × units) | ERP / spreadsheet |
| Marketplace fee % | Channel docs (Amazon: 15%, OTTO: 9-15%, eBay: 11%) |
| Ad spend on channel | Google Ads / Amazon Ads / OTTO Ads / Facebook Ads dashboards |
| Shipping cost per order | Shipping provider invoices |
| Returns processing cost | Internal time-cost estimate |
| Order count | Order export |
The formula
NET_REVENUE = GROSS_REVENUE - REFUNDS
MARKETPLACE_FEE = NET_REVENUE × FEE_RATE
GROSS_PROFIT = NET_REVENUE - COGS - MARKETPLACE_FEE - SHIPPING_TOTAL
OPERATING_PROFIT = GROSS_PROFIT - AD_SPEND - RETURNS_HANDLING
CONTRIBUTION_PER_ORDER = (NET_REVENUE - COGS - MARKETPLACE_FEE - SHIPPING) / ORDERS
BREAK_EVEN_ORDERS = AD_SPEND_TOTAL / CONTRIBUTION_PER_ORDER
CHANNEL_HEALTH = OPERATING_PROFIT / NET_REVENUE × 100
Healthy channel: margin > 15 %. Risky: 5-15 %. Loss-making: < 5 % or negative.
Workflow
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 353 lines · 120 tokens per session scan A 3dbc1ea2d916
channel-economics-analyzer is a skill published in the GitHub repository maxschottke-spec/seo-survival-kit (9 stars, last pushed 1mo ago), licensed MIT. It adds 120 tokens to every session and 4,471 once invoked, about $0.0006 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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