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/pdfnpx skills add yusufkaraaslan/Skill_Seekers --skill pdfgit 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/pdf)<a href="https://agentmods.dev/skills/yusufkaraaslan/skill_seekers/pdf"><img src="https://agentmods.dev/badge/skills/yusufkaraaslan/skill_seekers/pdf.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 | $0.00012 | $0.00747 |
| Opus 5 | $0.00006 | $0.00374 |
| Sonnet 5 | $0.00002 | $0.00149 |
| Haiku 4.5 | $0.00001 | $0.00075 |
Grade A, and why
golden-pdf 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 — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Golden_Pdf Documentation Skill
Use when testing the pdf golden build
💡 When to Use This Skill
Use this skill when you need to:
- Understand golden_pdf concepts and fundamentals
- Look up API references and technical specifications
- Find code examples and implementation patterns
- Review tutorials, guides, and best practices
- Explore the complete documentation structure
📖 Chapter Overview
Total Pages: 3
Content Breakdown:
- manual: 3 pages
🔑 Key Concepts
Main topics covered in this documentation
Major Topics:
- Getting Started Guide
- Troubleshooting
Subtopics:
- Installation Steps
- API Usage
⚡ Quick Reference
Common documentation patterns found:
Getting Started (1 sections):
- Getting Started Guide (page 1)
Installation (1 sections):
- Installation Steps (page 1)
Troubleshooting (1 sections):
- Troubleshooting (page 3)
Usage (1 sections):
- API Usage (page 2)
📝 Code Examples
High-quality examples extracted from documentation
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')
📊 Documentation Statistics
- Total Pages: 3
- Code Blocks: 4
- Images/Diagrams: 2
- Programming Languages: 3
Language Breakdown:
- python: 2 examples
- bash: 1 examples
- text: 1 examples
Code Quality:
- Average Quality Score: 7.4/10
- Valid Code Blocks: 4
What ships with it
3 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 · 152 lines · 12 tokens per session scan A 4bb073fddfd3
golden-pdf is a skill published in the GitHub repository yusufkaraaslan/Skill_Seekers (14,895 stars, last pushed 5d ago), licensed MIT. It adds 12 tokens to every session and 747 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.
Other skills, from other repositories
octocode-chrome-devtools
Use when a live page needs Chrome DevTools/CDP evidence: network failures, console errors, performance, DOM/CSS actionability, screenshots/PDF, cookies/storage, click/fill/search, HAR, or auth-gated pages. Phrases like debug in Chrome, live page health, CDP snapshot, cookie bridge. Not for static crawl or bulk extract…
octocode-graph-eval
Use when you need a measurable keep/discard loop — goal→KPI, baseline vs target, held-out checks, eval suites, or don't-stop-till-done against a runnable sensor. Not for ordinary ship checks where 'tests passed' is enough.
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.
octocode-scraping
Use when extracting or mapping public web content into a local cited corpus: scrape or crawl a URL/docs site, pull tables/pricing/product fields, diagnose blocked or thin pages, or answer from saved pages. Phrases like scrape this URL, crawl the docs, build a corpus, extract pricing. Prefer keyless fetch; ask before…
octocode-subagent
Use when spawning workers or offloading work: Task/subagents, specialist handoffs, A2A peers, sealed packets, coordinate/synthesize, challenge techniques (rubber-duck, interview, mimic-flow, red-team, blind review, consensus), or local Ollama one-shots to save tokens. Measuring keep/discard KPIs → octocode-graph-eval.
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.