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influencer-outreach

influencer-outreach is a skill for Claude Code, Codex from m3taz-ahmed/ai-globals. It costs 28 tokens per session (529 once invoked), scanned A, original, MIT.

A skill for finding suitable online creators, planning partnerships with them, and producing user-generated content, meaning content made by customers or creators.

In plain words
What is it for?
Use it to discover and vet creators, prepare campaign briefs, manage outreach, plan sponsored posts, and define how created content may be reused.
Why use it?
It helps businesses choose creators by audience fit and genuine engagement instead of follower count alone, while covering advertising disclosures and content rights.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 5repo yesterday A scan 28 tokens original MIT

Good fit Use it to discover and vet creators, prepare campaign briefs, manage outreach, plan sponsored posts, and define how created content may be reused.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/m3taz-ahmed/ai-globals/influencer-outreach
View source ↗ m3taz-ahmed/ai-globals
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 m3taz-ahmed/ai-globals --skill influencer-outreach
Clone the repo
git clone --depth 1 https://github.com/m3taz-ahmed/ai-globals

Made for: Claude Code, Codex.

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.

agentmods badge for influencer-outreach

README.md
[![agentmods](https://agentmods.dev/badge/skills/m3taz-ahmed/ai-globals/influencer-outreach/github.svg)](https://agentmods.dev/skills/m3taz-ahmed/ai-globals/influencer-outreach)
Your own site
<a href="https://agentmods.dev/skills/m3taz-ahmed/ai-globals/influencer-outreach"><img src="https://agentmods.dev/badge/skills/m3taz-ahmed/ai-globals/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.

agentmods 80×15 button for influencer-outreach

Your own site · 80×15
<a href="https://agentmods.dev/skills/m3taz-ahmed/ai-globals/influencer-outreach"><img src="https://agentmods.dev/badge/skills/m3taz-ahmed/ai-globals/influencer-outreach.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 529 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00028 $0.00529
Opus 5 $0.00014 $0.00264
Sonnet 5 $0.00006 $0.00106
Haiku 4.5 $0.00003 $0.00053

Measured 12d ago against content hash 3bf2fc05cb48, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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 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.

skills/influencer-outreach/SKILL.md · 39 lines

What it actually says

[SKILL] influencer-outreach [OBJ] Find the right creators, run compliant campaigns, and produce UGC that converts — without paying for fake reach.

[RULES]

  1. [REQ] Discovery: match by audience overlap with ICP (not just follower count), engagement rate (ER≥2% healthy), and niche fit. Micro (<50k) often outperforms mega for niche.
  2. [REQ] Vetting: check fake-follower ratio, audience geography vs target, past brand fit, and comment authenticity. Reject bots.
  3. [CMD] Context7 IDs: gitroomhq/postiz-app (outreach/scheduling), chatwoot/chatwoot (DM management, MIT), plausible/analytics (campaign tracking).
  4. [REQ] Brief template: goal, audience, message, do/don't, hashtags, FTC/#ad disclosure, deliverables, timeline, usage rights. Send before agreement.
  5. [REQ] Free-first: manual discovery via platform search + Postiz for outreach; paid tools (Aspire/GRIN) only as parity.
  6. [REQ] Compliance: every paid post needs #ad/#sponsored; respect FTC + local law; align with marketing-compliance. No undisclosed deals.
  7. [REQ] UGC rights: specify license duration/platform; store consents. Feed assets to content-marketing for repurposing.
  8. [REQ] Arabic/RTL: Arabic creators need RTL briefs, Arabic disclosure (#إعلان), and cultural-fit review per arabic-freelance.
  9. [REQ] Measurement: track reach, engagement, link clicks, conversions, and CPM/CPA. Report to marketing-analytics.
  10. [REQ] Approval gate: contracts/payouts require explicit user yes (kernel write-gate).

[PROHIBIT]

  1. No campaign without FTC/#ad disclosure.
  2. No creator with verified fake audience.
  3. No payout without delivered, approved asset.
  4. No Arabic brief without RTL + disclosure.
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.

  1. 12d ago First seen · 39 lines · 28 tokens per session scan A 3bf2fc05cb48

Subscribe to this mod's changes

influencer-outreach is a skill published in the GitHub repository m3taz-ahmed/ai-globals (5 stars, last pushed yesterday), licensed MIT. It adds 28 tokens to every session and 529 once invoked, about $0.0001 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 2026-08-31.

Marketing and SEO
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