Borrowing it
Nothing to install: this file belongs to labilezhu/everlingo. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/labilezhu/everlingo/main/.agents/skills/round-corners-of-images/SKILL.mdgit clone --depth 1 https://github.com/labilezhu/everlingoWrote 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/labilezhu/everlingo/round-corners-of-images)<a href="https://agentmods.dev/skills/labilezhu/everlingo/round-corners-of-images"><img src="https://agentmods.dev/badge/skills/labilezhu/everlingo/round-corners-of-images/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/labilezhu/everlingo/round-corners-of-images"><img src="https://agentmods.dev/badge/skills/labilezhu/everlingo/round-corners-of-images.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 | $0.00017 | $0.00219 |
| Opus 5 | $0.00009 | $0.00110 |
| Sonnet 5 | $0.00003 | $0.00044 |
| Haiku 4.5 | $0.00002 | $0.00022 |
Grade A, and why
round-corners-of-images 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 12d 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
圆角化一个 markdown 文件引用到的所有图片
参数
<path_of_markdown_file>
用户给出一个 markdown 文件的路径。以下叫 <path_of_markdown_file>
Workflow
- 读取 <path_of_markdown_file> 文件，收集文件中所有使用到的本地文件图片文件路径
- 对每个图片文件，执行以下指令，圆角化。
convert $path_of_image_file \( +clone -alpha extract \
-draw 'fill black polygon 0,0 0,30 30,0 fill white circle 30,30 30,0' \
\( +clone -flip \) -compose Multiply -composite \
\( +clone -flop \) -compose Multiply -composite \
\) -alpha off -compose CopyOpacity -composite $path_of_image_file
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.
- 12d ago First seen · 28 lines · 17 tokens per session scan A 747bf7550b49
round-corners-of-images is a skill published in the GitHub repository labilezhu/everlingo (14 stars, last pushed 18d ago), licensed MIT. It adds 17 tokens to every session and 219 once invoked, about $0.0001 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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