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 malue-ai/dazee-small --skill word-processorgit clone --depth 1 https://github.com/malue-ai/dazee-smallWrote 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/malue-ai/dazee-small/word-processor)<a href="https://agentmods.dev/skills/malue-ai/dazee-small/word-processor"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/word-processor/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/malue-ai/dazee-small/word-processor"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/word-processor.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 | $0.00032 | $0.00686 |
| Opus 5 | $0.00016 | $0.00343 |
| Sonnet 5 | $0.00006 | $0.00137 |
| Haiku 4.5 | $0.00003 | $0.00069 |
Grade A, and why
word-processor 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.
What it actually says
Word 文档处理
使用 python-docx 创建和编辑 Word 文档(.docx)。
使用场景
- 用户说「帮我生成一份 Word 报告」「把这些内容写成 Word」
- 用户需要创建格式化的文档(标题、表格、列表)
- 用户需要修改现有 Word 文件
依赖安装
pip install python-docx
创建文档
from docx import Document
from docx.shared import Inches, Pt, Cm
from docx.enum.text import WD_ALIGN_PARAGRAPH
doc = Document()
# 标题
doc.add_heading('报告标题', level=0)
# 段落
p = doc.add_paragraph('这是正文内容。')
p.alignment = WD_ALIGN_PARAGRAPH.JUSTIFY
# 加粗和斜体
p = doc.add_paragraph()
p.add_run('加粗文本').bold = True
p.add_run(',')
p.add_run('斜体文本').italic = True
# 列表
doc.add_paragraph('要点一', style='List Bullet')
doc.add_paragraph('要点二', style='List Bullet')
# 编号列表
doc.add_paragraph('第一步', style='List Number')
doc.add_paragraph('第二步', style='List Number')
# 表格
table = doc.add_table(rows=3, cols=3, style='Table Grid')
table.cell(0, 0).text = '姓名'
table.cell(0, 1).text = '部门'
table.cell(0, 2).text = '职位'
# 分页
doc.add_page_break()
# 保存
output_path = '/tmp/report.docx'
doc.save(output_path)
print(f'文档已保存: {output_path}')
读取文档
from docx import Document
doc = Document('/path/to/input.docx')
# 读取所有段落
for para in doc.paragraphs:
print(f'[{para.style.name}] {para.text}')
# 读取表格
for table in doc.tables:
for row in table.rows:
print([cell.text for cell in row.cells])
修改文档
from docx import Document
doc = Document('/path/to/input.docx')
# 修改段落文本
for para in doc.paragraphs:
if '旧内容' in para.text:
for run in para.runs:
run.text = run.text.replace('旧内容', '新内容')
doc.save('/path/to/output.docx')
输出规范
- 默认保存到
/tmp/或用户指定路径 - 生成后告知用户文件路径
- 如果在 macOS 上,用
open命令打开文件预览
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 · 113 lines · 32 tokens per session scan A 0de5305daf12
word-processor is a skill published in the GitHub repository malue-ai/dazee-small (36 stars, last pushed 5mo ago), licensed MIT. It adds 32 tokens to every session and 686 once invoked, about $0.0002 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 2026-09-03.
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