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_emptynpx skills add yusufkaraaslan/Skill_Seekers --skill chat_emptygit 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_empty)<a href="https://agentmods.dev/skills/yusufkaraaslan/skill_seekers/chat_empty"><img src="https://agentmods.dev/badge/skills/yusufkaraaslan/skill_seekers/chat_empty.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 | $0.00014 | $0.00276 |
| Opus 5 | $0.00007 | $0.00138 |
| Sonnet 5 | $0.00003 | $0.00055 |
| Haiku 4.5 | $0.00001 | $0.00028 |
Grade A, and why
golden-chat-empty 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 4d 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_Empty Slack Chat Skill
Use when testing the golden_chat_empty golden build
📋 Slack Chat Information
Platform: Slack
Source: fixtures/empty-export/
Total Messages: 0
Unique Users: 0
💡 When to Use This Skill
Use this skill when you need to:
- Find solutions discussed in golden_chat_empty 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: 0
Content Breakdown:
- Chat Content: 0 sections
📊 Chat Statistics
- Total Messages: 0
- Total Threads: 0
- Code Snippets: 0
- Shared Links: 0
- Unique Users: 0
- Channels: 0
🗺️ Navigation
Reference Files:
references/section_01.md- Chat Content
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.
- 4d ago First seen · 57 lines · 14 tokens per session scan A f4637b417e87
golden-chat-empty is a skill published in the GitHub repository yusufkaraaslan/Skill_Seekers (14,895 stars, last pushed 4d ago), licensed MIT. It adds 14 tokens to every session and 276 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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