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/pptxnpx skills add yusufkaraaslan/Skill_Seekers --skill pptxgit 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/pptx)<a href="https://agentmods.dev/skills/yusufkaraaslan/skill_seekers/pptx"><img src="https://agentmods.dev/badge/skills/yusufkaraaslan/skill_seekers/pptx.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 | $0.00843 |
| Opus 5 | $0.00007 | $0.00421 |
| Sonnet 5 | $0.00003 | $0.00169 |
| Haiku 4.5 | $0.00001 | $0.00084 |
Grade A, and why
golden-pptx 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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Golden_Pptx Presentation Skill
Use when testing the pptx golden build
📋 Presentation Information
Title: The Deck
Author: Jane Doe
Subject: Quarterly architecture review
Category: Engineering
Created: 2024-01-01
Modified: 2024-03-03
Slides: 8
💡 When to Use This Skill
Use this skill when you need to:
- Understand golden_pptx concepts and fundamentals
- Review presentation content and key points
- Find code examples and implementation patterns
- Access speaker notes and additional context
- Reference tables and data from the presentation
📖 Section Overview
Total Slides: 8
Total Sections: 3
Content Breakdown:
- deck: 3 sections
🔑 Key Concepts
Main topics covered in this presentation
Major Sections:
- Getting Started Guide
- Summary and Q&A
Subsections:
- Installation Steps
- Architecture Overview
⚡ Quick Reference
Common presentation patterns found:
Getting Started (1 sections):
- Getting Started Guide (section 1)
Overview (1 sections):
- Architecture Overview (section 2)
Summary (1 sections):
- Summary and Q&A (section 3)
📝 Code Examples
High-quality examples extracted from presentation
Bash Examples (1)
Example 1 (Quality: 6.0/10):
pip install thing
Python Examples (2)
Example 1 (Quality: 9.5/10):
def long_example():
x0 = 0
x1 = 1
x2 = 2
x3 = 3
x4 = 4
x5 = 5
x6 = 6
x7 = 7
x8 = 8
x9 = 9
x10 = 10
x11 = 11
x12 = 12
x13 = 13
x14 = 14
x15 = 15
x16 = 16
x17 = 17
x18 = 18
x19 = 19
x20 = 20
x21 = 21
x22 = 22
x23 = 23
x24 = 24
x25 = 25
x26 = 26
x27 = 27
x28 = 28
x29 = 29
x30 = 30
x31 = 31
x32 = 32
x33 = 33
x34 = 34
x35 = 35
x36 = 36
x37 = 37
x3
...
Example 2 (Quality: 8.5/10):
print('hello')
📊 Table Summary
2 table(s) found in presentation
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.
- 5d ago First seen · 176 lines · 14 tokens per session scan A fad2160879a1
golden-pptx is a skill published in the GitHub repository yusufkaraaslan/Skill_Seekers (14,895 stars, last pushed 5d ago), licensed MIT. It adds 14 tokens to every session and 843 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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octocode-brainstorming
Use when an idea needs disciplined exploration before building: generate options, test whether it is worth building, map adjacent solutions, challenge assumptions, narrow scope, or choose Build RFC / Prototype / Narrow / Park — even if nobody said brainstorm. Already decided to implement a specific plan → skip.
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octocode-roast
Use when code needs a blunt evidence-backed roast or memorable critique: smell inventory, debt ranking, hot-path autopsy, savage/diff review, security or performance sins, or practical redemption paths. Phrases like roast this, brutal review, top sins, cleanup debt. Polite evidence-first PR review → octocode-research.