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 media-organizergit 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/media-organizer)<a href="https://agentmods.dev/skills/cafe3310/public-agent-skills/media-organizer"><img src="https://agentmods.dev/badge/skills/cafe3310/public-agent-skills/media-organizer/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/media-organizer"><img src="https://agentmods.dev/badge/skills/cafe3310/public-agent-skills/media-organizer.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 | $0.00024 | $0.00870 |
| Opus 5 | $0.00012 | $0.00435 |
| Sonnet 5 | $0.00005 | $0.00174 |
| Haiku 4.5 | $0.00002 | $0.00087 |
Grade C, and why
media-organizer scanned grade C with 1 finding 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 13d 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
3. 所有文件移动完毕后，清理源目录。这可能包括删除已变为空的子目录和任何系统垃圾文件（如 `.DS_Store`）。在执行 `rm -rf` 之前，请与用户确认此清理操作。 What it actually says
媒体文件整理工作流
本 Skill 指导将一个包含杂乱媒体文件的目录整理成本项目内的标准化结构。此工作流强调与用户协作，以确保最终的组织方式符合用户需求。
步骤 1: 确定源目录
- 请用户提供包含待整理媒体文件的目录的绝对或相对路径。
- 确认用户提供的路径有效且可访问。如果无效，请通知用户并请求正确的路径。
步骤 2: 提出整理计划
- 使用
ls -R <source_directory>命令列出源目录中的文件，以了解其内容。 - 澄清文件内容:
- 对于文件名含义不明确，无法直接判断其内容或归类的文件，主动询问用户以获取准确信息。
- 如果文件名中包含数字，应向用户确认其含义，例如是“版本号”(
_v...)还是“示例编号”(_no...)。
- 根据文件名和类型，提出一组子分类。默认分类如下：
community-content: 用于存放来自外部来源的内容（如 YouTube 评测、文章等）。internal-demos: 用于存放内部团队创建的演示和用例。generated-examples: 用于存放由模型自动生成的内容。assets: 用于存放辅助性材料（如 Logo、封面、倒计时视频等）。
- 根据项目的
GEMINI.md文件提出文件命名规范。默认为：{YYYYMMDD}_{分类}_{描述}_{编号}.{后缀}。- 重要:
{YYYYMMDD}必须使用文件的最后修改时间 (stat命令) 确定，而不是文件名中自带的日期。
- 重要:
- 生成一个完整的文件迁移计划，将每个旧文件路径映射到一个建议的新文件路径。以清晰的格式（如 Markdown 表格或列表）呈现给用户。
- 暂停并请求用户确认。 请用户审查建议的分类、命名规范和完整的迁移计划。在获得用户明确批准之前，不要继续。允许用户对计划提出修改意见。
步骤 3: 执行迁移
一旦用户批准计划：
- 创建新的子分类目录（例如，使用
mkdir -p ...）。 - 为已批准计划中的每个项目运行
mv命令，执行文件迁移。最安全的方式是逐个或按小的逻辑批次执行。 - 所有文件移动完毕后，清理源目录。这可能包括删除已变为空的子目录和任何系统垃圾文件（如
.DS_Store）。在执行rm -rf之前，请与用户确认此清理操作。
步骤 4: 生成文档
- 为每个创建的新分类目录生成一个
README.md文件。 - 使用位于
skills/media-organizer/assets/readme.md.template的模板来创建内容。 README.md应简要描述该分类，并可以包含指向几个关键文件的链接作为示例。- 更新父目录的
README.md以反映新的、有组织的结构，使新内容易于发现。
步骤 5: 最终审查
- 通知用户整理、清理和文档化过程已完成。
- 使用
ls命令显示新的目录结构。 - 询问用户是否对结果满意。
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.
- 13d ago First seen · 55 lines · 24 tokens per session scan C faaaa7db4242
media-organizer is a skill published in the GitHub repository cafe3310/public-agent-skills (253 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 24 tokens to every session and 870 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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