AI Fundamentals is a learning resource about the foundations and infrastructure behind artificial intelligence, including GPU architecture, CUDA programming, large language models, AI systems, and related operations. It is intended for AI engineers, system architects, GPU developers, application developers, and researchers. The catalogue add-ons support learning or working with these AI infrastructure topics.
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 skills add ForceInjection/AI-fundamentals --skill pdf_translatorgit clone --depth 1 https://github.com/ForceInjection/AI-fundamentalsWrote 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/forceinjection/ai-fundamentals/pdf_translator)<a href="https://agentmods.dev/skills/forceinjection/ai-fundamentals/pdf_translator"><img src="https://agentmods.dev/badge/skills/forceinjection/ai-fundamentals/pdf_translator/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/skills/forceinjection/ai-fundamentals/pdf_translator"><img src="https://agentmods.dev/badge/skills/forceinjection/ai-fundamentals/pdf_translator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00047 | $0.00548 |
| Opus 5.5 | $0.00019 | $0.00219 |
| Sonnet 5.5 | $0.00009 | $0.00110 |
| Haiku 4.5 | $0.00005 | $0.00055 |
Grade A, and why
pdf_translator 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- pdf_translator — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PDF Translator Skill
Instructions
Follow these steps to translate a PDF file:
- Identify the PDF File: Confirm the path to the PDF file the user wants to translate. If the path is relative, resolve it to an absolute path.
- Extract Text: Use the
extract_text.pyscript located in thescriptsdirectory of this skill to extract text from the PDF.- Command:
python3 skills/pdf_translator/scripts/extract_text.py <path_to_pdf> - Note: Ensure you are using the correct python environment (e.g.,
.venv/bin/pythonif applicable, or justpython3if dependencies are installed globally).
- Command:
- Translate Content:
- Read the output from the extraction step.
- Translate the extracted text into the target language requested by the user (default to the user's primary language or English if ambiguous).
- Maintain the original structure (headings, paragraphs) as much as possible using Markdown formatting.
- Save Output:
- Write the translated content to a temporary text file (e.g.,
temp_translation.txt). - Use the
generate_md.pyscript to create the final Markdown file with metadata. - Command:
python3 skills/pdf_translator/scripts/generate_md.py <output_path> <original_filename> <temp_translation_file> - Filename format:
<original_filename>_translated.md. - Notify the user of the output file location.
- Clean up the temporary text file.
- Write the translated content to a temporary text file (e.g.,
Examples
User: "Translate the file papers/deep_learning.pdf to Chinese."
Claude:
- Locates
papers/deep_learning.pdf. - Runs:
python3 skills/pdf_translator/scripts/extract_text.py papers/deep_learning.pdf - Translates the extracted text to Chinese.
- Writes translation to
temp_translation.txt. - Runs:
python3 skills/pdf_translator/scripts/generate_md.py papers/deep_learning_translated.md deep_learning.pdf temp_translation.txt - Removes
temp_translation.txt. - Responds: "I have translated the PDF and saved it to
papers/deep_learning_translated.md."
What ships with it
8 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.
- 1mo ago First seen · 49 lines · 47 tokens per session scan A e7fce12464f0
pdf_translator is a skill published in the GitHub repository ForceInjection/AI-fundamentals (3,153 stars, last pushed today), licensed Apache-2.0. It adds 47 tokens to every session and 548 once invoked, about $0.0002 per session on Opus 5.5. 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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