video-course

video-course is a skill for Claude Code, Codex from text2future/flowix. It costs 27 tokens per session (690 once invoked), scanned A, a copy of ai-assistant, MIT.

A structured workflow for creating a video course, from defining learning goals and an outline to recording, trial lessons, revisions, and learner feedback.

In plain words
What is it for?
It helps plan lessons, prepare scripts, record and review course material, run trial learning sessions, and use feedback to decide what to revise.
Why use it?
It keeps course production focused on what learners should be able to do, rather than only listing topics. It also records checks on scripts, demonstrations, sound, images, subtitles, and exercises.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents); mentions AGENTS.md.

Good fit It helps plan lessons, prepare scripts, record and review course material, run trial learning sessions, and use feedback to decide what to revise.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/text2future/flowix/video-course
Install

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.

Any agent
npx skills add text2future/flowix --skill video-course
Clone the repo
git clone --depth 1 https://github.com/text2future/flowix

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for video-course

README.md
[![agentmods](https://agentmods.dev/badge/skills/text2future/flowix/video-course/github.svg)](https://agentmods.dev/skills/text2future/flowix/video-course)
Your own site
<a href="https://agentmods.dev/skills/text2future/flowix/video-course"><img src="https://agentmods.dev/badge/skills/text2future/flowix/video-course/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.

agentmods 80×15 button for video-course

Your own site · 80×15
<a href="https://agentmods.dev/skills/text2future/flowix/video-course"><img src="https://agentmods.dev/badge/skills/text2future/flowix/video-course.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 690 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 83% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00027 $0.00690
Opus 5.5 $0.00011 $0.00276
Sonnet 5.5 $0.00005 $0.00138
Haiku 4.5 $0.00003 $0.00069

Measured 7d ago against content hash e848887cae16, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

video-course 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.

Origin

This is a copy

83% identical to ai-assistant — 30 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.flowix/templates/notebook-templates/视频课程/.agents/skills/video-course/SKILL.md · 34 lines

What it actually says

先读主题根目录 AGENTS.md、公共/项目启动书.md 和 公共/课程开发方案.md。所有路径相对主题根目录。

推进本主题

本主题流程:需求与目标 → 大纲设计 → 录制制作 → 试学修订 → 上线反馈。

  1. 需求与目标:明确学习目标、受众基础和完成后的能力。
  2. 大纲设计:安排课时、演示与练习,避免只列知识标题。
  3. 录制制作:按脚本录制并编辑,核对画面、声音、字幕和示例。
  4. 试学修订:组织试学与作业,修正理解困难及节奏问题。
  5. 上线反馈:上线后分别记录课时完成、作业与反馈,规划更新。
  • 任务入口:进度视图.csv。按事项ID查找记录,展示给用户时使用任务名称。
  • 决策与依据:课程/计划表.csv、课程/资料/资料清单.csv。
  • 新任务:复制 公共/课程单元制作单.md,在 课程/ 下用可读的任务名称建目录;场次、批次等重复任务加日期。
  • 填写案例与真实任务时沿用空白模板的标题和字段,不另造一套简化结构。字段不适用写明原因;资料缺失时说明缺口及影响。过程写已发生的动作,产物保存到任务目录并登记实际路径。
  • 结果写入 数据/学习反馈.csv,沿用同一事项ID。检查字段单位、时间范围和对象粒度;单次任务不填项目累计数。缺失值不得用0代替。
  • 本主题完成条件:教学目标与演示内容经试学验证。先逐项核对模板中的审核字段,再更新状态;缺少影响验收的证据时保持待确认。

本库中的教学记录

课程/构图与光线课时/任务记录.md 与 课程/构图与光线课时/构图与光线课时稿.md 展示一次任务的记录及产物。其中人物和数据为模拟;未经用户要求,不把模拟数据当作真实事实或继续虚构实际结果。外部发布、支付和联系按用户授权执行。

数据记录先确认一行代表什么对象、哪段时间与什么单位。原始记录、分类合计和项目汇总分别维护;验收表的期望结果必须与实际结果逐项对应,不能只填写“通过”。

接续任务

第二项教学任务为 课程/逆光对照课时修订/任务记录.md。从前序反馈提取下一步,先建立新ID与计划行,再填写同一公共模板;复用数据不重复登记。更新视图前核对产物存在、审核结论与状态一致。

Changes

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.

  1. 7d ago First seen · 34 lines · 27 tokens per session scan A e848887cae16

Subscribe to this mod's changes

video-course is a skill published in the GitHub repository text2future/flowix (469 stars, last pushed 2d ago), licensed MIT. It adds 27 tokens to every session and 690 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 83% identical to ai-assistant, differing in 30 lines, and is treated as a copy.