Skills for monetizing AI agents

Three free SKILL.md files. Run inside Claude Code, Cursor, Codex CLI, or any agent that loads SKILL.md.

Install all 3 with the skills CLI

$ npx skills add operonhq/agent-skills

Counts toward the skills.sh leaderboard. Works with Claude Code, Cursor, Windsurf, and other skills-CLI-compatible agents.

Skill 01 estimate-agent-revenue

Estimate Agent Revenue

Calculates how much monthly revenue an AI agent could earn from native ads, affiliate links, CPC, and lead generation. Input: vertical, query volume, response type, audience. Output: floor, mid, and ceiling projections with the math shown.

5 questions, pick from a list or free text
Mid-range programmatic CPM benchmarks across 9 verticals
Honest current-network-state callout (crypto-vertical-heavy demand pool today)
Cross-references the conversational version on Telegram (@rev_calc_bot)

Per-skill curl install

$ curl -o SKILL.md https://operon.so/skills/estimate-agent-revenue/SKILL.md

Marketplace alternatives (post-submission)

skills.shtbd ClawHubtbd agentskill.shtbd Bankr Skillstbd GitHub source →

Skill 02 score-agent-response-quality

Score Agent Response Quality

Paste a sample agent response, get a 0 to 100 quality score across 6 dimensions: content depth, recommendation surface, citation quality, formatting, trust signals, and monetization readiness. Output includes the top 3 actionable improvements with score-lift estimates.

6-dimension rubric, 0 to 20 per dimension, normalized to 0 to 100
Vertical-aware Monetization Context (reflects current demand pool, not aspirational projections)
Built-in revenue lookup so users see score-to-revenue tie without round-tripping to Skill 1
Separate evaluation framework from Operon's trust index. Trust index scores domains and endpoints; this skill scores individual responses.

Per-skill curl install

$ curl -o SKILL.md https://operon.so/skills/score-agent-response-quality/SKILL.md

Marketplace alternatives (post-submission)

skills.shtbd ClawHubtbd agentskill.shtbd Bankr Skillstbd GitHub source →

Skill 03 monetize-agent-responses

Monetize Agent Responses

Step-by-step integration walkthrough. Install @operon/sdk (or @operon/plugin-publisher-sdk for ElizaOS users), wire the placement call, run a test impression, graduate to production via npx register.

~10-minute integration on any Node 18+ stack
Generic SDK works on LangChain, CrewAI, Vercel AI SDK, Mastra, Hono, vanilla Node
ElizaOS plugin path for ElizaOS users (Provider auto-fires on every message)
Sandbox lane works without an API key; production via npx @operon/sdk register
Per-marketplace source attribution baked into each variant for traffic measurement

Per-skill curl install

$ curl -o SKILL.md https://operon.so/skills/monetize-agent-responses/SKILL.md

Marketplace alternatives (post-submission)

skills.shtbd ClawHubtbd agentskill.shtbd Bankr Skillstbd GitHub source →

The funnel

How these skills work together

These skills package what Operon does into instructions that any agent can run. Three steps in a funnel:

estimate-agent-revenue: how much can your agent earn?
score-agent-response-quality: is your output ready for monetization?
monetize-agent-responses: integrate Operon's SDK in 10 minutes.

Each skill runs locally inside the user's agent. No API keys, no signup for Skills 1 and 2. Skill 3 graduates to production via npx @operon/sdk register.

Available across 4 marketplaces and on GitHub. Auto-indexed on LobeHub, SkillsMP, FindSkills, and MCP Market via GitHub crawl.

Already know what Operon does? Skip to the SDK.

For developers →

Skip the marketplace, integrate directly.

Skills are useful for discovery. If you already know what Operon does and want to ship, the SDK is two commands away.

npm install @operon/sdk
# then visit operon.so/developers for the registration flow

Open /developers → hi@operon.so