Add Operon agent monetization skills (3)

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Three skills from Operon for AI agent monetization. Submitted as a single PR since the three are designed to work as a funnel.

What each skill does

estimate-agent-revenue/

Calculates how much monthly revenue an AI agent could earn. Five inputs (vertical, query volume, response type, audience, current monetization). Nine vertical CPM benchmarks. Floor, mid, and ceiling projections with the math shown. Includes an honest current-network-state callout (the demand pool is crypto-vertical-heavy today, so non-crypto agents see lower mid projections than aspirational marketing material would suggest).

Use case: a developer is building or running an agent and wants a grounded answer to "is this worth monetizing?" before spending time on integration.

score-agent-response-quality/

Scores a sample agent response 0 to 100 across six dimensions: content depth, recommendation surface, citation quality, formatting, trust signals, and monetization readiness. Each dimension is 0 to 20, normalized to 0 to 100. Returns the top three actionable improvements with score-lift estimates. Vertical-aware monetization context tied to the current Operon demand pool, not aspirational projections.

Use case: a developer iterates on prompt and output quality and wants a structured rubric instead of vibes.

This skill is a separate evaluation framework from Operon's trust index. The trust index scores domains and endpoints; this skill scores individual responses.

monetize-agent-responses/

Guided integration walkthrough for the Operon publisher SDK. Install @operon/sdk (or @operon/plugin-publisher-sdk for ElizaOS users), wire the placement call into the agent's response path, run a test impression, graduate to production via npx @operon/sdk register. The sandbox lane works without an API key, so the test impression flow ships immediately. ~10 minute walkthrough on Node 18+.

This is the Bankr Skills variant. The source: skill3-bankr field flows through to placement logs and the publisher dashboard so installs from this repo carry their own attribution.

How they work together

estimate-agent-revenue answers "should I bother?" → score-agent-response-quality answers "is my output ready?" → monetize-agent-responses ships the integration. Each runs locally inside the user's agent. No API keys or signup for skills 1 and 2. Skill 3 graduates to production via the registration command.

License

MIT, matching the canonical operonhq/agent-skills repo.

Links

• Operon: operon.so
• Skills landing page: operon.so/skills
• Publisher SDK: @operon/sdk
• ElizaOS plugin: @operon/plugin-publisher-sdk
• Contact: hi@operon.so