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-outreachgit 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-outreach)<a href="https://agentmods.dev/skills/brainbytes-dev/everything-claude-marketing/influencer-outreach"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/influencer-outreach/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-outreach"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/influencer-outreach.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 | $0.00028 | $0.03588 |
| Opus 5.5 | $0.00011 | $0.01435 |
| Sonnet 5.5 | $0.00006 | $0.00718 |
| Haiku 4.5 | $0.00003 | $0.00359 |
Grade A, and why
influencer-outreach 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 — 268 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Influencer Outreach
When to Activate
Use this skill when identifying influencers for a campaign, evaluating potential creator partnerships, writing outreach emails or DMs, negotiating influencer deals, building a long-term creator relationship program, planning an influencer marketing campaign, or when someone asks to "find influencers," "build a creator program," or "partner with content creators." Also activate when evaluating whether influencer marketing is the right channel for a given goal.
First Questions
Before starting influencer outreach, clarify:
- What is the campaign goal? (awareness, traffic, leads, sales, content creation, social proof)
- What is the budget? (determines which tiers of influencers are viable)
- Who is the target audience? (demographics, interests, platforms — the influencer's audience must match)
- What platform(s)? (Instagram, YouTube, TikTok, LinkedIn, Twitter/X, podcast, newsletter)
- What type of content? (review, tutorial, unboxing, sponsored post, affiliate, brand ambassador)
- What is the timeline? (one-off campaign, ongoing partnership, seasonal promotion)
Core Rules
- Audience match over follower count. A 10K-follower creator whose audience is exactly your target customer outperforms a 500K-follower creator whose audience is broadly "interested in business."
- Engagement rate is the first filter. High followers with low engagement means bought followers, dead accounts, or irrelevant content. Check engagement before anything else.
- Authenticity is non-negotiable. Influencers who promote anything for money damage both their credibility and yours. Look for creators who genuinely fit your brand.
- Pay fairly. Underpaying creators leads to low-quality content, missed deadlines, and resentment. Fair compensation builds long-term relationships.
- Relationships beat transactions. One-off sponsored posts have limited impact. Long-term partnerships where the creator genuinely uses and advocates for your product are 10x more valuable.
- Give creative freedom. Creators know their audience better than you do. Provide guardrails (key messages, compliance requirements, brand guidelines) but let them create in their own voice.
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 · 268 lines · 28 tokens per session scan A 690eea12bb3c
influencer-outreach is a skill published in the GitHub repository brainbytes-dev/everything-claude-marketing (10 stars, last pushed 7mo ago), licensed MIT. It adds 28 tokens to every session and 3,588 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-outreach compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| influencer-outreachbrainbytes-dev/everything-claude-marketing | Skill | 10 | 7mo ago | MIT | A | 28 | 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 |