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 cafe3310/public-agent-skills --skill cafe3310-skill-installergit clone --depth 1 https://github.com/cafe3310/public-agent-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/cafe3310/public-agent-skills/cafe3310-skill-installer)<a href="https://agentmods.dev/skills/cafe3310/public-agent-skills/cafe3310-skill-installer"><img src="https://agentmods.dev/badge/skills/cafe3310/public-agent-skills/cafe3310-skill-installer/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/cafe3310/public-agent-skills/cafe3310-skill-installer"><img src="https://agentmods.dev/badge/skills/cafe3310/public-agent-skills/cafe3310-skill-installer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00022 | $0.00544 |
| Opus 5 | $0.00011 | $0.00272 |
| Sonnet 5 | $0.00004 | $0.00109 |
| Haiku 4.5 | $0.00002 | $0.00054 |
Grade A, and why
cafe3310-skill-installer 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.
What it actually says
安装和更新 cafe3310 的所有 Agent Skill
此 Skill 用于帮助您自动化地下载、更新和维护来自 cafe3310/public-agent-skills 的所有技能。
🎯 核心功能
- 一键同步: 从 GitHub 仓库获取最新版本的 skills 到本地。
- 安全更新:
- 如果本地
~/.agents/skills目录下已经存在由cafe3310创建的技能，它会自动覆盖更新到最新版。 - 如果同名技能不是由
cafe3310编写的，脚本会主动跳过，并提示您手动处理，防止误删您的自定义技能。
- 如果本地
- 状态预览: 安装完成后，它会为您展示当前系统中所有可用技能的清单及其主要作用。
🚀 开发者指示 (Instructions)
如果你是一个 Agent，请执行以下步骤来协助用户完成安装：
-
第一步：克隆并准备环境
克隆https://github.com/cafe3310/public-agent-skills.git到临时目录。 -
第二步：运行安装脚本
定位到仓库中的skills/cafe3310-skill-installer/scripts/install.sh，赋予其执行权限并运行它：chmod +x skills/cafe3310-skill-installer/scripts/install.sh bash skills/cafe3310-skill-installer/scripts/install.sh -
第三步：确认结果
根据安装脚本输出的结果，向用户反馈安装成功的技能列表，并提醒用户哪些技能因为潜在冲突而被跳过（如果有）。
🛠 维护者
- 作者: cafe3310
- 仓库地址:
https://github.com/cafe3310/public-agent-skills
小贴士: 如果您是普通用户，只需将本文件交给您的 Agent 并说：“请帮我安装这里面提到的技能”，它就会为您处理好一切。
What ships with it
2 files 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 · 46 lines · 22 tokens per session scan A acef47f52968
cafe3310-skill-installer is a skill published in the GitHub repository cafe3310/public-agent-skills (253 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 22 tokens to every session and 544 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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