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 agentmods add skills/coderwanfeng/python-office/del_watermarknpx skills add CoderWanFeng/python-office --skill del_watermarkgit clone --depth 1 https://github.com/CoderWanFeng/python-officeWhat 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 | $0.00037 | $0.00259 |
| Opus 5 | $0.00018 | $0.00130 |
| Sonnet 5 | $0.00007 | $0.00052 |
| Haiku 4.5 | $0.00004 | $0.00026 |
Grade A, and why
del_watermark 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 yesterday.
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
del_watermark Skill
从输入的图片中删除水印
功能描述
从输入的图片中删除水印，并保存处理后的图片到指定路径。
所属分类
office/skills/image/del_watermark/
调用方式
from skills.image import del_watermark
del_watermark(
input_image='./with_watermark.jpg',
output_image='./no_watermark.jpg'
)
参数说明
| 参数 | 类型 | 必填 | 默认值 | 说明 |
|---|---|---|---|---|
input_image |
str | 是 | - | 输入图片的路径 |
output_image |
str | 否 | './del_water_mark.jpg' |
处理后图片的保存路径 |
返回值
None
使用示例
from skills.image import del_watermark
del_watermark(input_image='./photo.jpg')
原始函数
office.api.image.del_watermark
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.
- yesterday First seen · 50 lines · 37 tokens per session scan A 3055855801f0
del_watermark is a skill published in the GitHub repository CoderWanFeng/python-office (1,346 stars, last pushed 12d ago), licensed Apache-2.0. It adds 37 tokens to every session and 259 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 2026-08-30.
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