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 Infinite-Labs-AI/infinite-skills --skill partnershipsgit clone --depth 1 https://github.com/Infinite-Labs-AI/infinite-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/infinite-labs-ai/infinite-skills/partnerships)<a href="https://agentmods.dev/skills/infinite-labs-ai/infinite-skills/partnerships"><img src="https://agentmods.dev/badge/skills/infinite-labs-ai/infinite-skills/partnerships/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/infinite-labs-ai/infinite-skills/partnerships"><img src="https://agentmods.dev/badge/skills/infinite-labs-ai/infinite-skills/partnerships.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00036 | $0.00363 |
| Opus 5 | $0.00018 | $0.00181 |
| Sonnet 5 | $0.00007 | $0.00073 |
| Haiku 4.5 | $0.00004 | $0.00036 |
Grade A, and why
partnerships 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.
What it actually says
Partnerships
Find partner channels that can introduce the product to the right audience with borrowed trust.
Map The Ecosystem
Identify:
- Customer’s existing tools and communities.
- Adjacent products that benefit when the user succeeds.
- Experts, creators, consultants, agencies, newsletters, podcasts, and communities.
- Marketplaces and integration ecosystems.
- Referral or affiliate candidates.
- Credibility sources: analysts, directories, review sites, open source projects.
Prioritize partners with audience overlap and a reason to care beyond commission.
Choose Partner Plays
For each partner class, state:
- Why their audience would trust them on this problem.
- Why the partner benefits from introducing the product.
- What asset would make the introduction useful.
- What conversion path captures the borrowed attention.
- What would make the relationship asymmetric or not worth doing.
Do not design full referral, affiliate, PR, or community programs inside this skill. Route to the right partner motion and define the first test.
Outreach Strategy
Make the ask specific and low-friction:
- Why this partner.
- Why now.
- What their audience gets.
- What asset you will create.
- What you need from them.
- How success will be measured.
Output
Partner map:
| Partner type | Examples | Audience overlap | Value exchange | Priority |
Trust-transfer hypotheses:
1. Partner class:
Why audience trusts them:
Why partner cares:
Asset:
Conversion path:
First test:
Outreach note:
Subject:
Body:
Operating risks:
- [risk] -> [mitigation]
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 67 lines · 36 tokens per session scan A 4b312bb102ef
partnerships is a skill published in the GitHub repository Infinite-Labs-AI/infinite-skills (44 stars, last pushed 13d ago), licensed MIT. It adds 36 tokens to every session and 363 once invoked, about $0.0002 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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