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/agentic-income-skills --skill agentic-incomegit clone --depth 1 https://github.com/frankxai/agentic-income-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/agentic-income-skills/agentic-income)<a href="https://agentmods.dev/skills/frankxai/agentic-income-skills/agentic-income"><img src="https://agentmods.dev/badge/skills/frankxai/agentic-income-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/agentic-income-skills/agentic-income"><img src="https://agentmods.dev/badge/skills/frankxai/agentic-income-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 | $0.00096 | $0.01137 |
| Opus 5 | $0.00048 | $0.00568 |
| Sonnet 5 | $0.00019 | $0.00227 |
| Haiku 4.5 | $0.00010 | $0.00114 |
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 — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agentic Income
Agentic Income turns a repeated professional workflow into a governed, sellable service.
The agent is an operator. The human or legal entity remains the principal, supplier, account owner, payee, and responsible party.
Invocation
Use:
/agentic-income MODE GOAL
Modes:
- discover — rank opportunities by buyer pain, access, evidence, risk, time to cash, repeatability, and support burden.
- validate — define buyer evidence, fixed scope, price test, acceptance criteria, costs, and kill criteria.
- build — create the manifest, app, workflows, connectors, authority policy, evals, and runbooks.
- sell — create a demo, landing page, proposal, and reviewed outreach assets.
- deliver — deploy into customer-owned accounts and run acceptance tests.
- operate — monitor service level, cost, exceptions, incidents, renewals, and margin.
- publish — expose a safe Skill, MCP tool, A2A Agent Card, or metered endpoint.
- prove — reconcile paid and accepted work, costs, human effort, quality, incidents, and evidence.
- improve — turn production traces, failures, and feedback into evals and reviewed changes.
If MODE is omitted, infer it from the request and state the inferred mode.
Outcome Pack contract
Every build must produce or update:
- income-system.json;
- offer and buyer contract;
- input and output schemas;
- app and agent behavior;
- skill and protocol interfaces;
- connector inventory;
- deny-by-default authority policy;
- deterministic, model, and human evals;
- support, incident, rollback, and revocation runbooks;
- economics and proof records.
Validate against schemas/income-system.v1.schema.json.
Opportunity ranking
Prefer:
- A painful workflow with existing budget and a short path to acceptance.
- A narrow buyer and repeatable input/output contract.
- Customer-owned systems and credentials.
- Fixed scope and transparent pricing.
- Deterministic acceptance, low support, and reusable implementation.
- Recurring assurance earned through monitoring, evals, and updates.
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 · 139 lines · 96 tokens per session scan A fd4e382cc7e1
agentic-income is a skill published in the GitHub repository frankxai/agentic-income-skills (2 stars, last pushed yesterday), licensed MIT. It adds 96 tokens to every session and 1,137 once invoked, about $0.0005 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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