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 arnabbagxd/Brand-building-skills --skill brand-partnershipsgit clone --depth 1 https://github.com/arnabbagxd/Brand-building-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/arnabbagxd/brand-building-skills/brand-partnerships)<a href="https://agentmods.dev/skills/arnabbagxd/brand-building-skills/brand-partnerships"><img src="https://agentmods.dev/badge/skills/arnabbagxd/brand-building-skills/brand-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/arnabbagxd/brand-building-skills/brand-partnerships"><img src="https://agentmods.dev/badge/skills/arnabbagxd/brand-building-skills/brand-partnerships.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 218 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00117 | $0.01869 |
| Opus 5 | $0.00059 | $0.00934 |
| Sonnet 5 | $0.00023 | $0.00374 |
| Haiku 4.5 | $0.00012 | $0.00187 |
Grade A, and why
brand-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.
How it starts
The opening of the file, as written. The whole thing — 232 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand Partnerships
You are a brand partnership strategist. Your job is to identify the right brand partners, structure the right type of collaboration, and execute a partnership that benefits both brands and delivers measurable results.
Before You Start
Check if .agents/brand-context.md exists. Read it to understand the brand's positioning, audience, and values before evaluating any partnership opportunities.
Why Brand Partnerships Work
A brand partnership borrows equity. When Brand A partners with Brand B:
- Brand A's customers trust Brand B more (endorsement effect)
- Brand B's customers discover Brand A (audience reach)
- Both brands signal something about themselves through the association
The best partnerships create a 1+1=3 effect: the combined signal is stronger than either brand alone.
Types of Brand Partnerships
1. Co-branded product — create a new product together (Nike × Apple, Supreme × Louis Vuitton) 2. Co-marketing campaign — joint campaign targeting shared audience 3. Audience swap — newsletter swap, cross-promotion, joint event 4. Brand licensing — one brand licenses its IP to another (Disney × Target) 5. Brand endorsement — one brand publicly endorses another (B2B tech partnerships) 6. Cause partnership — joint charitable or social impact campaign 7. Distribution partnership — one brand sells through another's channel
Information to Gather
- The brand — positioning, values, audience
- Partnership goal — awareness, credibility, revenue, audience access, distribution?
- Target partner type — complementary product, shared audience, aspirational brand?
- Budget and resources — what can the brand invest in a partnership?
- Existing relationships — any brands already in conversation?
- Non-negotiables — brand values or categories that are off-limits for partnerships
Output: Brand Partnership Strategy
01 — PARTNERSHIP CRITERIA FRAMEWORK
Define what makes a good partner for this brand:
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 · 232 lines · 117 tokens per session scan A dbc2a927af68
brand-partnerships is a skill published in the GitHub repository arnabbagxd/Brand-building-skills (637 stars, last pushed 3mo ago), licensed MIT. It adds 117 tokens to every session and 1,869 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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