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 OpenDigitalProductFactory/opendigitalproductfactory --skill commercial-opportunity-reviewgit clone --depth 1 https://github.com/OpenDigitalProductFactory/opendigitalproductfactoryWrote 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/opendigitalproductfactory/opendigitalproductfactory/commercial-opportunity-review)<a href="https://agentmods.dev/skills/opendigitalproductfactory/opendigitalproductfactory/commercial-opportunity-review"><img src="https://agentmods.dev/badge/skills/opendigitalproductfactory/opendigitalproductfactory/commercial-opportunity-review/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/opendigitalproductfactory/opendigitalproductfactory/commercial-opportunity-review"><img src="https://agentmods.dev/badge/skills/opendigitalproductfactory/opendigitalproductfactory/commercial-opportunity-review.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 | $0.00020 | $0.00238 |
| Opus 5 | $0.00010 | $0.00119 |
| Sonnet 5 | $0.00004 | $0.00048 |
| Haiku 4.5 | $0.00002 | $0.00024 |
Grade A, and why
commercial-opportunity-review 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 7d 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.
What it actually says
Commercial opportunity review
Trace the selected business Product through real Product Offering, CatalogItem, quote, Product Sold, account, and fulfillment evidence.
- Separate additive revenue from bundle attribution.
- Compare only compatible currency and period evidence.
- Identify offer, catalog, route-to-market, and fulfillment gaps.
- Route a proposed commercial decision through
evaluate_org_business_decision. - Preserve Product, Offering, CatalogItem, and channel projection ownership.
Do not create placeholder consumers. Without recorded customer, order, booking, subscription, or fulfillment evidence, the consumer view is unavailable.
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.
- 7d ago First seen · 31 lines · 20 tokens per session scan A f4bb63b427c3
commercial-opportunity-review is a skill published in the GitHub repository OpenDigitalProductFactory/opendigitalproductfactory (14 stars, last pushed yesterday), licensed Apache-2.0. It adds 20 tokens to every session and 238 once invoked, about $0.0001 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 2026-09-05.
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