What is brand-partnership-vetting?

A partner-selection workflow that evaluates brands for co-marketing opportunities and produces a printable HTML report. Co-marketing is a campaign made jointly by two brands.

Use it to compare candidate brands, rank a shortlist, create scorecards and partnership briefs, map creator activations, and show competitor partnership examples.

It gives partnership decisions a consistent scoring process while clearly separating observable content signals from information the data cannot verify.

brand-partnership-vetting — Skill for Claude Code by adologyai

Install

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.

Any agent

npx skills add adologyai/content-intelligence-plugin --skill brand-partnership-vetting

Clone the repo

git clone --depth 1 https://github.com/adologyai/content-intelligence-plugin

Made for: Claude Code.

Or install content-intelligence, the plugin that ships this one along with the rest of its 14 skills, 4 commands, 1 agent.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/adologyai/content-intelligence-plugin/brand-partnership-vetting/github.svg)](https://agentmods.dev/skills/adologyai/content-intelligence-plugin/brand-partnership-vetting)

Your own site

<a href="https://agentmods.dev/skills/adologyai/content-intelligence-plugin/brand-partnership-vetting"><img src="https://agentmods.dev/badge/skills/adologyai/content-intelligence-plugin/brand-partnership-vetting/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/adologyai/content-intelligence-plugin/brand-partnership-vetting"><img src="https://agentmods.dev/badge/skills/adologyai/content-intelligence-plugin/brand-partnership-vetting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 186 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 13,788 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00186	$0.13788
Opus 5.5	$0.00074	$0.05515
Sonnet 5.5	$0.00037	$0.02758
Haiku 4.5	$0.00019	$0.01379

Measured 2mo ago against content hash b2fb799478f5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

brand-partnership-vetting scanned grade A with 1 finding 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 2mo 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

direct `curl` / `wget` calls against scraper CDNs; the

skills/brand-partnership-vetting/SKILL.md · 832 lines

How it starts

The opening of the file, as written. The whole thing — 832 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Brand Partnership Vetting & Selection

Self-contained skill. Everything you need — methodology, full HTML production template with CSS, section-by-section guidance — is in this file.

What This Skill Does

Takes a partnership brief, sources or evaluates candidate partner brands, scores them on observable content signals across seven weighted dimensions, and produces ranked scorecards with adapted partnership briefs and positioning implications for top picks. Final deliverable is an editorial HTML report a CMO or BD lead can print and circulate.

What You Can and Cannot Assess

Content intelligence shows you: brand voice and emotional register, existing partnership behavior, audience lifestyle signals, cultural currency, competitor precedent when triangulating against the focal brand's category peers.

Content intelligence cannot tell you: verified audience demographics, partnership pricing or commercial terms, partnership-team responsiveness, past partnership performance or conversion lift, active pipeline partnerships not yet in market, legal or compliance conflicts, whether content overlap translates to purchase behavior.

This is why every report ends with a "Verify Externally" checklist — flagging exactly what the user must check through other means.

Phase 1: Partnership Brief Intake

Partner-fit is entirely relative to the brief. Don't proceed without these inputs.

Required: focal brand name, partnership goal, target audience (specific, not "Gen Z"), focal brand voice posture.

Strongly recommended: use cases to amplify, partner archetypes of interest (earn money / spend money / manage habits / relieve bill stress / aspiration unlock / cultural moment), competitive context, partnership budget tier, number of picks.

Optional but valuable: existing partnerships to avoid, must-haves, dealbreakers, internal stakeholder for the deliverable.

If the user just drops brand names without a brief, ask for the brief. Be friendly: "Before I vet these, I need to understand the partnership strategy so I can score them against something real."

Read the full file on GitHub · 832 lines

Files

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.

assets/report_template.html 29 KB

Changes

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.

2mo ago First seen · 832 lines · 186 tokens per session scan A b2fb799478f5

Subscribe to this mod's changes

brand-partnership-vetting is a skill published in the GitHub repository adologyai/content-intelligence-plugin (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 186 tokens to every session and 13,788 once invoked, about $0.0007 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Marketing and SEO

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brand-partnership-vetting