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 brainbytes-dev/everything-claude-marketing --skill influencer-roigit clone --depth 1 https://github.com/brainbytes-dev/everything-claude-marketingWrote 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/brainbytes-dev/everything-claude-marketing/influencer-roi)<a href="https://agentmods.dev/skills/brainbytes-dev/everything-claude-marketing/influencer-roi"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/influencer-roi/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/brainbytes-dev/everything-claude-marketing/influencer-roi"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/influencer-roi.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 | $0.00026 | $0.03898 |
| Opus 5.5 | $0.00010 | $0.01559 |
| Sonnet 5.5 | $0.00005 | $0.00780 |
| Haiku 4.5 | $0.00003 | $0.00390 |
Grade A, and why
influencer-roi 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 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.
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 — 346 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Influencer ROI
When to Activate
Use this skill when measuring the return on investment of influencer campaigns, building reporting frameworks for influencer marketing, comparing influencer performance across campaigns or creators, justifying influencer spend to stakeholders, setting performance benchmarks for influencer partnerships, optimizing the influencer mix (tiers, platforms, content types), or when someone asks "is influencer marketing working?" or "how do we measure influencer ROI?"
First Questions
Before measuring influencer ROI, clarify:
- What was the campaign goal? (awareness, engagement, traffic, leads, sales — ROI calculation depends on the goal)
- What tracking mechanisms are in place? (UTM links, promo codes, landing pages, affiliate links, pixels)
- What data is available? (creator analytics, platform analytics, CRM data, sales data)
- What is the total investment? (creator fees, product costs, agency fees, internal time, ad spend on boosted influencer content)
- What is the comparison baseline? (previous campaigns, other channels, industry benchmarks)
- Who needs the report? (marketing team wants detail, executives want ROI summary, finance wants revenue attribution)
Core Rules
- Define success metrics BEFORE the campaign launches. If you don't agree on what success looks like upfront, you'll argue about it afterward.
- Track everything. Every influencer link should have UTMs, a unique promo code, or a dedicated landing page. Untracked influencer marketing is a black box.
- Attribution is imperfect — acknowledge it. Influencer marketing creates awareness and consideration that isn't always captured by last-click attribution. Account for this without using it as an excuse for poor performance.
- Compare like with like. Don't compare a nano creator's engagement rate with a macro creator's reach. Different tiers serve different purposes.
- Calculate total cost, not just creator fees. Product costs, shipping, agency fees, internal time, and boosted ad spend are all part of the investment.
- Look at both direct and indirect ROI. Direct: trackable sales and leads. Indirect: content assets, social proof, SEO value, brand lift.
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 · 346 lines · 26 tokens per session scan A 7de46ba0a1de
influencer-roi is a skill published in the GitHub repository brainbytes-dev/everything-claude-marketing (10 stars, last pushed 7mo ago), licensed MIT. It adds 26 tokens to every session and 3,898 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.
influencer-roi compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| influencer-roibrainbytes-dev/everything-claude-marketing | Skill | 10 | 7mo ago | MIT | A | 26 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |