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 agentmods add skills/obolnetwork/obol-stack/sub-agent-businessnpx skills add ObolNetwork/obol-stack --skill sub-agent-businessgit clone --depth 1 https://github.com/ObolNetwork/obol-stackWrote 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/obolnetwork/obol-stack/sub-agent-business)<a href="https://agentmods.dev/skills/obolnetwork/obol-stack/sub-agent-business"><img src="https://agentmods.dev/badge/skills/obolnetwork/obol-stack/sub-agent-business.svg" alt="Measured on agentmods" 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 | $0.00110 | $0.02144 |
| Opus 5 | $0.00055 | $0.01072 |
| Sonnet 5 | $0.00022 | $0.00429 |
| Haiku 4.5 | $0.00011 | $0.00214 |
Grade A, and why
sub-agent-business 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 3d 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 — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sub-Agent Business
Turn one idea into a specialised child agent that strangers pay per turn.
This skill is the business layer. The mechanics live in other skills:
agent-factory builds the child, sell publishes the offer, discovery
and buy-x402 scout the market, ethereum-networks reads the revenue.
The one rule: margin justification
A buyer pays your agent per reply. Raw LLM completions sell elsewhere for 0.0005–0.005 USDC per request. So a paid sub-agent is only a business if its replies are clearly better than the buyer's own model call on the same question. That gap must come from something the buyer cannot prompt out of a stock model:
| Alpha type | Example |
|---|---|
| Private or live data | An index you maintain from a local archive node; a feed you pay for |
| Curated, verified facts | Contract addresses checked on-chain; current protocol parameters; watchlists |
| An expensive workflow | Multi-step research that burns 50 model calls but sells as one turn |
| Access to paid tools | Your sub-agent buys from other x402 services and resells the composite |
| Hard-won judgment | A SOUL.md refined over hundreds of real questions in one niche |
If the honest answer to "why wouldn't the buyer just ask their own model?" is silence, do not list the agent. Find alpha first.
The loop
NICHE → SCOUT → PACK ALPHA → BUILD → EVALUATE → PRICE → SELL → MEASURE → ITERATE or KILL
Run every new agent idea through all nine steps. Skipping EVALUATE is the most common way to ship an agent nobody buys twice.
1. Niche
One agent, one job. "Crypto assistant" is not a niche; "liquidation-risk monitor for Aave positions on Base" is. Narrow niches make the objective sharp, the skills list short, and the eval honest.
2. Scout the market
See who already sells nearby, and at what price:
SKILLS="${OBOL_SKILLS_DIR:-/data/.openclaw/skills}"
# Who is registered on-chain?
python3 "$SKILLS/discovery/scripts/discovery.py" search --chain base --limit 20
# What do comparable services charge? (402 response shows live pricing)
python3 "$SKILLS/buy-x402/scripts/buy.py" probe <competitor-endpoint-url>
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.
- 3d ago First seen · 191 lines · 110 tokens per session scan A 65b720e3fc46
sub-agent-business is a skill published in the GitHub repository ObolNetwork/obol-stack (11 stars, last pushed 4d ago), licensed Apache-2.0. It adds 110 tokens to every session and 2,144 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 2026-08-30.
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