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/forceinjection.github.io --skill pdf_translatorgit clone --depth 1 https://github.com/ForceInjection/forceinjection.github.ioWrote 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/forceinjection.github.io/pdf_translator)<a href="https://agentmods.dev/skills/forceinjection/forceinjection.github.io/pdf_translator"><img src="https://agentmods.dev/badge/skills/forceinjection/forceinjection.github.io/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/forceinjection.github.io/pdf_translator"><img src="https://agentmods.dev/badge/skills/forceinjection/forceinjection.github.io/pdf_translator.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00047 | $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.
This is a copy
100% identical to pdf_translator — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
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/forceinjection.github.io (88 stars, last pushed 15d ago), 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. It is 100% identical to pdf_translator, differing in 0 lines, and is treated as a copy.
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