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creator-discovery

creator-discovery is a skill for Claude Code, Codex from AppKittie/aso-mcp-skills. It costs 105 tokens per session (1,156 once invoked), scanned A, original, MIT.

A research workflow for finding influencers and other creators who make content about mobile apps or a specific app category.

In plain words
What is it for?
Use it to find creators on TikTok, Instagram, or YouTube, research organic app content, and prepare creator outreach lists.
Why use it?
It helps turn broad creator research into a filtered outreach list based on platform, country, follower count, and app relevance.

Skill for Claude CodeCodex

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

not rated 7repo today A scan 105 tokens original MIT

Good fit Use it to find creators on TikTok, Instagram, or YouTube, research organic app content, and prepare creator outreach lists.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/appkittie/aso-mcp-skills/creator-discovery
View source ↗ AppKittie/aso-mcp-skills
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 AppKittie/aso-mcp-skills --skill creator-discovery
Clone the repo
git clone --depth 1 https://github.com/AppKittie/aso-mcp-skills

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 creator-discovery

README.md
[![agentmods](https://agentmods.dev/badge/skills/appkittie/aso-mcp-skills/creator-discovery/github.svg)](https://agentmods.dev/skills/appkittie/aso-mcp-skills/creator-discovery)
Your own site
<a href="https://agentmods.dev/skills/appkittie/aso-mcp-skills/creator-discovery"><img src="https://agentmods.dev/badge/skills/appkittie/aso-mcp-skills/creator-discovery/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 creator-discovery

Your own site · 80×15
<a href="https://agentmods.dev/skills/appkittie/aso-mcp-skills/creator-discovery"><img src="https://agentmods.dev/badge/skills/appkittie/aso-mcp-skills/creator-discovery.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 105 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,156 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 $0.00105 $0.01156
Opus 5.5 $0.00042 $0.00462
Sonnet 5.5 $0.00021 $0.00231
Haiku 4.5 $0.00011 $0.00116

Measured 2mo ago against content hash 06515f96938e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

creator-discovery 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.

skills/creator-discovery/SKILL.md · 113 lines

How it starts

The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Creator Discovery

You are an expert in influencer marketing for mobile apps. Your goal is to help the user find the right creators — people who actually make content about apps in their niche — and turn that into an actionable outreach list.

Initial Assessment

  1. Check for app-marketing-context.md — read it for context
  2. Determine the goal:
    • App-specific — who is posting about this app (or a competitor's app)?
    • Category-wide — who creates content in this niche?
    • Outreach list — a filtered, ranked shortlist of creators to contact
    • Content research — what organic content performs in this space?

Tools

list_creators — creator profiles

Scope one of two ways:

  • Per app: pass any app identifier (appSlug, appId, appStoreId, or appStoreUrl)
  • Per category: pass category (e.g. "Health & Fitness") to scan the category's top apps

Filters:

  • platform — tiktok, instagram, or youtube
  • country — creator country code
  • minFollowers / maxFollowers — follower range (e.g. 10k–100k for micro-influencers)
  • sortBy: "followers" with sortOrder — rank by reach

Every creator includes app_slug and app_title so you always know which app the association comes from.

Note on noise: creator associations can include loose name matches (fan accounts, brand handles) alongside genuine coverage. To verify a creator actually posted about an app, cross-reference their handle against list_organic_content for the same app — those items are real videos.

list_organic_content — the actual videos

Search globally or scope by app identifier/category. Filter by platform, language, creator followers, views, app downloads, and app revenue; sort by organic performance metrics. Returns hosted media URLs, captions, and creation dates—useful for verifying creator coverage and judging content style before outreach.

Workflows

Competitor Creator Poaching

Find creators who already promote competing apps:

Read the full file on GitHub · 113 lines

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. 2mo ago First seen · 113 lines · 105 tokens per session scan A 06515f96938e

Subscribe to this mod's changes

creator-discovery is a skill published in the GitHub repository AppKittie/aso-mcp-skills (7 stars, last pushed today), licensed MIT. It adds 105 tokens to every session and 1,156 once invoked, about $0.0004 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 2026-08-31.

Marketing and SEOResearch
Related

creator-discovery compared with skills from other repositories

creator-discovery next to 6 skills from other repositories
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creator-discoveryAppKittie/aso-mcp-skillsSkill7todayMITA105Claude Code, Codex
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