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 coracoo/zspace_skill --skill media-naminggit clone --depth 1 https://github.com/coracoo/zspace_skillWrote 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/coracoo/zspace_skill/media-naming)<a href="https://agentmods.dev/skills/coracoo/zspace_skill/media-naming"><img src="https://agentmods.dev/badge/skills/coracoo/zspace_skill/media-naming.svg" alt="Measured on agentmods" 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 | $0.00204 | $0.01780 |
| Opus 5 | $0.00102 | $0.00890 |
| Sonnet 5 | $0.00041 | $0.00356 |
| Haiku 4.5 | $0.00020 | $0.00178 |
Grade A, and why
media-naming 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Media Naming — 影视文件命名正向校验
概述
前置:先调 nas-setup skill 验证 NAS 登录。
对物理目录做正向合规扫描:定义合规格式 → 不匹配即报问题。
写操作不在脚本里 — 扫描出问题后,LLM 生成 old → new 映射,经用户确认后调 MCP tool。
通用命名方法论见 media-naming-guide。 本 skill 只覆盖极空间落地(分页 list、MCP 编排、踩坑)。
与 media-organizer 分工
| skill | 管什么 |
|---|---|
| media-organizer | 极影视 分类/元数据 审计(frds 混放、源目录) |
| media-naming(本 skill) | 文件系统 命名规范(文件夹/视频文件名) |
命令
| 命令 | 用途 |
|---|---|
scan --root PATH |
正向合规扫描(只读) |
scan --root PATH --json |
stdout JSON |
scan --root PATH --output /tmp/issues.json |
写 JSON 文件 |
python skills/media-naming/media_naming.py scan --root /sata14/my/data/影视
python skills/media-naming/media_naming.py scan --root /sata14/my/data/影视 --json --output /tmp/issues.json
期望目录结构:
影视/
电影/
中文名 English Name (年份) [分辨率]/
中文名 English Name (年份) [分辨率].mkv
剧集/
中文名 English Name S01/
中文名 English Name S01 E01.mp4
工作流
场景 1:用户说"帮我扫一下影视库命名"
步骤:
- exec
python skills/media-naming/media_naming.py scan --root <用户路径> --output /tmp/issues.json - 读输出 / JSON,按问题类型分组汇报(前若干条 + 总数)
- 不做 rename — 问用户要不要按规范出修复计划
场景 2:用户说"按规范修"
步骤:
- 先跑
scan(或复用上一轮/tmp/issues.json) - 按下方「整理顺序」生成
old → new映射表,先预览给用户 - 用户确认后,逐条调 MCP:
- 垃圾文件 →
remove(paths=...) - 错分类 →
move(paths=..., to=...) - 改名 →
rename(path=..., newname=...)(newname 是纯文件名,不含路径) - 缺目录 →
mkdir(parent=..., name=...)
- 垃圾文件 →
- 再跑一遍
scan,问题数=0 才算完成
场景 3:用户说"这个审查规避名怎么还原"
步骤:
- 不要凭正则脑补。按 media-naming-guide 的解码铁则:搜索验证后再定中文名
- 确认后走
renameMCP tool
整理顺序(严格)
- 删除垃圾文件(torrent / nfo / td / jpg / htm)
- 移错分类(电影 ↔ 剧集)
- 解码审查规避(人工映射 + 搜索验证)
- 修复目录名(补英文名/年份、去水印/PT 后缀)
- 拆分合集文件夹(
1-3结尾) - 对齐内部文件名(电影=文件夹名;剧集=
剧名 SXX EYY) - 重新
scan验证
每一步都先出映射表预览,确认后再批量执行。
命名速查
电影
中文名 English Name (年份) [分辨率 来源]/
中文名 English Name (年份) [分辨率 来源].mkv
花絮/
花絮 - 视觉之旅.mkv
What ships with it
5 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.
- 7d ago First seen · 164 lines · 204 tokens per session scan A cf1276db6a2b
media-naming is a skill published in the GitHub repository coracoo/zspace_skill (21 stars, last pushed 1mo ago), licensed MIT. It adds 204 tokens to every session and 1,780 once invoked, about $0.0010 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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