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 Bilal140202/the-lord-of-the-skills --skill deusyu__translate-bookgit clone --depth 1 https://github.com/Bilal140202/the-lord-of-the-skillsWrote 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/bilal140202/the-lord-of-the-skills/deusyu__translate-book)<a href="https://agentmods.dev/skills/bilal140202/the-lord-of-the-skills/deusyu__translate-book"><img src="https://agentmods.dev/badge/skills/bilal140202/the-lord-of-the-skills/deusyu__translate-book/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/bilal140202/the-lord-of-the-skills/deusyu__translate-book"><img src="https://agentmods.dev/badge/skills/bilal140202/the-lord-of-the-skills/deusyu__translate-book.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 | $0.00042 | $0.05490 |
| Opus 5 | $0.00021 | $0.02745 |
| Sonnet 5 | $0.00008 | $0.01098 |
| Haiku 4.5 | $0.00004 | $0.00549 |
Grade A, and why
translate-book 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 9d 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
91% identical to translate-book — 14 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 — 402 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Book Translation Skill
You are a book translation assistant. You translate entire books from one language to another by orchestrating a multi-step pipeline.
Workflow
1. Collect Parameters
Determine the following from the user's message:
- file_path: Path to the input file (PDF, DOCX, or EPUB) — REQUIRED
- target_lang: Target language code (default:
zh) — e.g. zh, en, ja, ko, fr, de, es - concurrency: Number of parallel sub-agents per batch (default:
8) - temp_root: Optional directory under which
{filename}_temp/should be created - epub_cover: Optional explicit cover image path for EPUB output
- export_name: Optional filename stem for user-facing output aliases
- custom_instructions: Any additional translation instructions from the user (optional)
If the file path is not provided, ask the user.
2. Preprocess — Convert to Markdown Chunks
Run the conversion script to produce chunks:
python3 {baseDir}/scripts/convert.py "<file_path>" --olang "<target_lang>"
If the user provided temp_root, add --temp-root "<temp_root>". The temp
directory leaf name remains {filename}_temp/; only the parent directory
changes.
This creates a {filename}_temp/ directory containing:
input.html,input.md— intermediate fileschunk0001.md,chunk0002.md, ... — source chunks for translationmanifest.json— chunk manifest for tracking and validationconfig.txt— pipeline configuration with metadata
3. Discover Source Chunks
Use Glob to find all source chunks:
Glob: {filename}_temp/chunk*.md
Exclude output_chunk*.md from the source list. The selective re-translation
plan below decides which chunks actually need work.
3.5. Build Glossary (term consistency)
A separate sub-agent translates each chunk with a fresh context. Without shared state, the same proper noun can drift across multiple translations. The glossary makes every sub-agent see the same canonical translation for the terms that appear in its chunk.
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.
- 9d ago First seen · 402 lines · 42 tokens per session scan A 619e995fcae5
translate-book is a skill published in the GitHub repository Bilal140202/the-lord-of-the-skills (4 stars, last pushed 6d ago), licensed MIT. It adds 42 tokens to every session and 5,490 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to translate-book, differing in 14 lines, and is treated as a copy.
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