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 frankxai/affiliate-agent-skills --skill agentic-incomegit clone --depth 1 https://github.com/frankxai/affiliate-agent-skillsWrote 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/frankxai/affiliate-agent-skills/agentic-income)<a href="https://agentmods.dev/skills/frankxai/affiliate-agent-skills/agentic-income"><img src="https://agentmods.dev/badge/skills/frankxai/affiliate-agent-skills/agentic-income/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/frankxai/affiliate-agent-skills/agentic-income"><img src="https://agentmods.dev/badge/skills/frankxai/affiliate-agent-skills/agentic-income.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 | $0.00000 | $0.01307 |
| Opus 5 | $0.00000 | $0.00654 |
| Sonnet 5 | $0.00000 | $0.00261 |
| Haiku 4.5 | $0.00000 | $0.00131 |
Grade A, and why
agentic-income 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
agentic-income
The brain that turns "make money with AI agents" into a system that scales itself. One thesis, five principles, four loops. Everything else is execution.
The thesis
Honest AI-tool comparison content is the most scalable, lowest-cost income engine an AI architect can run. Frontier tools (ChatGPT, Claude, Midjourney, Veo) drive enormous search volume but pay nothing. So you rank for them, tell the genuine truth, and route to the adjacent tools that pay recurring — the ones you actually use. The reader gets the real answer; the system earns when they act on it. Trust is the asset; the link is downstream.
The five principles (non-negotiable)
- Honest pick always wins. Recommend what's genuinely best, then link the payer you'd actually buy. A link that overrides the truth burns the only asset that compounds: trust.
- Recurring > one-time. Passive income compounds on subscriptions, not flat bounties. Build around recurring-payers (Higgsfield, Systeme.io, CapCut, ElevenLabs, Copy.ai); treat one-time bounties as bonus.
- Own the audience. Every reader is income or a future relationship. One email capture per page turns rented traffic (SEO/social) into an owned list you control.
- Build the engine once, fork the sites. One shared catalog + one template; each new site is a
lib/site.tsswap. The second site is near-zero marginal cost. Effort goes into the substrate, not the Nth instance. - Compounding over spikes. Content that ranks for years + recurring commissions + a growing list = income that runs without you. Optimize for the asset that's still earning in 12 months, not the post that spikes today.
The architecture (hub-and-spoke)
affiliate-agent-skills ← the engine: catalog + audit + this brain (OSS — the lead-gen)
│
├─► agenticincome.ai ← HUB. The authority brand. Spokes link up to it.
├─► agenticpassiveincome.com ← spoke: the "set it and forget it" angle
└─► disruptivepassiveincome.com ← spoke: the "tools replacing job functions" angle
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 · 72 lines · 0 tokens per session scan A 745ede24e5a9
agentic-income is a skill published in the GitHub repository frankxai/affiliate-agent-skills (2 stars, last pushed 4d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,307 tokens. 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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