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.
npx agentmods add skills/yusufkaraaslan/skill_seekers/chat_singlenpx skills add yusufkaraaslan/Skill_Seekers --skill chat_singlegit 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/skills/yusufkaraaslan/skill_seekers/chat_single)<a href="https://agentmods.dev/skills/yusufkaraaslan/skill_seekers/chat_single"><img src="https://agentmods.dev/badge/skills/yusufkaraaslan/skill_seekers/chat_single.svg" alt="Measured on agentmods" 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 | $0.00014 | $0.00296 |
| Opus 5 | $0.00007 | $0.00148 |
| Sonnet 5 | $0.00003 | $0.00059 |
| Haiku 4.5 | $0.00001 | $0.00030 |
Grade A, and why
golden-chat-single 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 6d 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
Golden_Chat_Single Slack Chat Skill
Use when testing the golden_chat_single golden build
📋 Slack Chat Information
Platform: Slack
Source: fixtures/slack-export/
Total Messages: 1
Unique Users: 1
Channels: #general
💡 When to Use This Skill
Use this skill when you need to:
- Find solutions discussed in golden_chat_single chat history
- Reference code snippets shared by team members
- Understand team decisions and architectural discussions
- Look up troubleshooting steps from past conversations
- Find shared links and resources from the team
📖 Content Overview
Total Sections: 1
Content Breakdown:
- General Discussion: 1 sections
📊 Chat Statistics
- Total Messages: 1
- Total Threads: 0
- Code Snippets: 0
- Shared Links: 0
- Unique Users: 1
- Channels: 1
Channel Activity:
- #general: 1 messages, 1 users
🗺️ Navigation
Reference Files:
references/main.md- General Discussion
See references/index.md for complete chat structure.
Generated by Skill Seeker | Slack Chat Scraper
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago First seen · 63 lines · 14 tokens per session scan A 2f2eef626e27
golden-chat-single is a skill published in the GitHub repository yusufkaraaslan/Skill_Seekers (14,911 stars, last pushed 6d ago), licensed MIT. It adds 14 tokens to every session and 296 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 2026-08-30.
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Establish color, typography, spacing, radius and motion as named role-based tokens. Use before building any interface.
heuristic-evaluation
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persona-acid-test
Stress-test a design through three lenses, confused user, skeptical engineer and impatient PM, before it goes to a stakeholder. Requires an actual design, an HTML file, Figma link or screenshot.