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/lienjack/learn-agent/article-mermaidnpx skills add LienJack/learn-agent --skill article-mermaidgit clone --depth 1 https://github.com/LienJack/learn-agentWrote 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/lienjack/learn-agent/article-mermaid)<a href="https://agentmods.dev/skills/lienjack/learn-agent/article-mermaid"><img src="https://agentmods.dev/badge/skills/lienjack/learn-agent/article-mermaid.svg" alt="Measured on agentmods" 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 | $0.00029 | $0.00359 |
| Opus 5 | $0.00015 | $0.00179 |
| Sonnet 5 | $0.00006 | $0.00072 |
| Haiku 4.5 | $0.00003 | $0.00036 |
Grade A, and why
article-mermaid 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 3d 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
文章 Mermaid 图片 Skill
本 skill 只能通过显式引用本文件路径触发。
执行流程
- 阅读
images/README.md和images/workflows/mermaid-to-png.md。 - 如果文章正文仍有 fenced Mermaid block，运行
images/bin/article-images --dry-run --stage mermaid <article.md ...>。 - 如果文章正文已经是
*.svgMermaid 引用，运行images/bin/article-images --dry-run --stage svg-mermaid <article.md ...>，从 Obsidian 原文目录回源 Mermaid。 - 展示每篇文章中的 Mermaid 数量、
.mmd目标、PNG 目标、工作区和 blocker。 - 用户确认后运行对应的
images/bin/article-images --yes --stage mermaid|svg-mermaid <article.md ...>。 - 运行
images/bin/article-image-check <article.md ...>。
规则
- 原 Mermaid 必须从正文提取并保存为
.mmd。 - 正文 Mermaid fenced block 必须替换为对应 PNG 图片引用。
- 正文旧 Mermaid SVG 引用必须替换为对应 PNG 图片引用。
.mmd和 PNG 的对应关系必须写入文章工作区manifest.json。- 生成的 PNG 必须经过 ImageMagick 压缩。
- Mermaid 渲染失败时保留
.mmd和失败线索，不丢弃其他成功资产。
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.
- 3d ago First seen · 28 lines · 29 tokens per session scan A 835548038e05
article-mermaid is a skill published in the GitHub repository LienJack/learn-agent (23 stars, last pushed 1mo ago), licensed MIT. It adds 29 tokens to every session and 359 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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