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 Bwkyd/wps-skills --skill wps-i18ngit clone --depth 1 https://github.com/Bwkyd/wps-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/bwkyd/wps-skills/wps-i18n)<a href="https://agentmods.dev/skills/bwkyd/wps-skills/wps-i18n"><img src="https://agentmods.dev/badge/skills/bwkyd/wps-skills/wps-i18n/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/bwkyd/wps-skills/wps-i18n"><img src="https://agentmods.dev/badge/skills/bwkyd/wps-skills/wps-i18n.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 | $0.00103 | $0.01345 |
| Opus 5 | $0.00051 | $0.00673 |
| Sonnet 5 | $0.00021 | $0.00269 |
| Haiku 4.5 | $0.00010 | $0.00135 |
Grade A, and why
wps-i18n 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 11d 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 — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.
文档中英双语工具
中文文档 → 中英双语对照版。外企、外贸、国际合作必备。
When to Use
- 需要中英文对照版本的文档
- 合同/报告需要英文版
- 需要双语排版(左中右英)
- 用户说"做个双语版""中英文对照"
When NOT to Use
- 纯翻译(不需要排版)→ 直接对话翻译
- 校对中文文档 → 使用
wps-proofread
双语排版模式
[1] 段落对照 → 中文段落下方紧跟英文翻译
[2] 左右分栏 → 左列中文 右列英文
[3] 表格对照 → 中文列 | 英文列
[4] 替换模式 → 生成纯英文版本
工作流程
Step 1: 读取源文档
from docx import Document
from docx.shared import Pt, Cm, Inches
from docx.enum.text import WD_ALIGN_PARAGRAPH
from docx.oxml.ns import qn
import os
def read_document_text(doc_path):
"""读取文档段落"""
doc = Document(doc_path)
paragraphs = []
for para in doc.paragraphs:
if para.text.strip():
paragraphs.append({
'text': para.text,
'style': para.style.name,
'alignment': para.alignment,
})
return paragraphs
Step 2: 生成双语文档
def create_bilingual_doc(original_paras, translations, mode='段落对照',
output_path=None):
"""生成双语文档"""
doc = Document()
section = doc.sections[0]
section.top_margin = Cm(2.54)
section.bottom_margin = Cm(2.54)
def set_font(run, name, size, bold=False, italic=False):
run.font.size = Pt(size)
run.font.name = name
run._element.rPr.rFonts.set(qn('w:eastAsia'), name)
run.bold = bold
run.italic = italic
if mode == '段落对照':
for orig, trans in zip(original_paras, translations):
# 中文段落
p = doc.add_paragraph()
if 'Heading' in orig.get('style', ''):
run = p.add_run(orig['text'])
set_font(run, '黑体', 14, True)
else:
p.paragraph_format.first_line_indent = Pt(24)
run = p.add_run(orig['text'])
set_font(run, '宋体', 12)
# 英文翻译
p = doc.add_paragraph()
if 'Heading' in orig.get('style', ''):
run = p.add_run(trans)
set_font(run, 'Times New Roman', 14, True, True)
else:
p.paragraph_format.first_line_indent = Pt(24)
run = p.add_run(trans)
set_font(run, 'Times New Roman', 11, italic=True)
from docx.shared import RGBColor
run.font.color.rgb = RGBColor(0x55, 0x55, 0x55)
doc.add_paragraph() # 段间空行
elif mode == '表格对照':
table = doc.add_table(rows=1, cols=2)
table.style = 'Table Grid'
# 表头
table.cell(0, 0).text = '中文'
table.cell(0, 1).text = 'English'
for orig, trans in zip(original_paras, translations):
row = table.add_row()
row.cells[0].text = orig['text']
row.cells[1].text = trans
if not output_path:
output_path = '双语文档.docx'
doc.save(output_path)
return os.path.abspath(output_path)
What ships with it
1 file 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.
- 11d ago First seen · 169 lines · 103 tokens per session scan A fa4bb3bda47c
wps-i18n is a skill published in the GitHub repository Bwkyd/wps-skills (7 stars, last pushed 4mo ago), licensed MIT. It adds 103 tokens to every session and 1,345 once invoked, about $0.0005 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 2026-08-31.
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