Skill Seekers converts documentation, code repositories, PDFs, videos, notebooks, and other sources into structured knowledge assets for AI skills, retrieval systems, and coding assistants. Developers use it to prepare source material for tools such as Claude, Gemini, OpenAI, LangChain, LlamaIndex, Cursor, Windsurf, and Cline, with exports for multiple targets. The catalogue entries provide skills, commands, instructions, an MCP integration, and a plugin for using the project.
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.
git clone --depth 1 https://github.com/yusufkaraaslan/Skill_SeekersWrote 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/plugins/yusufkaraaslan/skill_seekers/claude-plugin)<a href="https://agentmods.dev/plugins/yusufkaraaslan/skill_seekers/claude-plugin"><img src="https://agentmods.dev/badge/plugins/yusufkaraaslan/skill_seekers/claude-plugin/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/plugins/yusufkaraaslan/skill_seekers/claude-plugin"><img src="https://agentmods.dev/badge/plugins/yusufkaraaslan/skill_seekers/claude-plugin.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
skill-seekers 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 1mo 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.
What it actually says
{
"name": "skill-seekers",
"description": "Transform 18 source types (docs, GitHub, PDFs, videos, Jupyter, Confluence, Notion, Slack, and more) into AI-ready skills and RAG knowledge for 21+ AI platforms.",
"version": "3.9.1",
"author": {
"name": "Yusuf Karaaslan"
},
"homepage": "https://github.com/yusufkaraaslan/Skill_Seekers",
"repository": "https://github.com/yusufkaraaslan/Skill_Seekers",
"license": "MIT"
}
What it installs
The manifest is a name and a version. 1 skill, 3 commands travel with it, and installing the plugin installs all of them — 79 tokens a session between them. Each is measured on its own page, and each can be installed alone.
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.
- 1mo ago First seen · 12 lines scan A 04154ca4e45d
skill-seekers is a plugin published in the GitHub repository yusufkaraaslan/Skill_Seekers (15,167 stars, last pushed 16d ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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 2026-08-30.
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