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stream-timecodes

stream-timecodes is a skill for Codex from howdeploy/kisa-stack. It costs 71 tokens per session (984 once invoked), scanned A, original, MIT.

A tool that creates chapter markers for streams, podcasts and videos from a VTT transcription file. VTT is a subtitle format containing timed pieces of spoken text.

In plain words
What is it for?
It helps process a VTT file and produce 18 timestamped topic descriptions in the format hours:minutes:seconds, with concise descriptions.
Why use it?
It turns a full transcription into a short list of named points in the recording, so viewers can find important sections more easily.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Claude Code.

not rated 55repo +2 11d ago A scan 71 tokens original MIT

Good fit It helps process a VTT file and produce 18 timestamped topic descriptions in the format hours:minutes:seconds, with concise descriptions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/howdeploy/kisa-stack/stream-timecodes
View source ↗ howdeploy/kisa-stack
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 howdeploy/kisa-stack --skill stream-timecodes
Clone the repo
git clone --depth 1 https://github.com/howdeploy/kisa-stack

Made for: 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 stream-timecodes

README.md
[![agentmods](https://agentmods.dev/badge/skills/howdeploy/kisa-stack/stream-timecodes/github.svg)](https://agentmods.dev/skills/howdeploy/kisa-stack/stream-timecodes)
Your own site
<a href="https://agentmods.dev/skills/howdeploy/kisa-stack/stream-timecodes"><img src="https://agentmods.dev/badge/skills/howdeploy/kisa-stack/stream-timecodes/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 stream-timecodes

Your own site · 80×15
<a href="https://agentmods.dev/skills/howdeploy/kisa-stack/stream-timecodes"><img src="https://agentmods.dev/badge/skills/howdeploy/kisa-stack/stream-timecodes.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 984 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 original No closer match found 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 $0.00071 $0.00984
Opus 5.5 $0.00028 $0.00394
Sonnet 5.5 $0.00014 $0.00197
Haiku 4.5 $0.00007 $0.00098

Measured 1mo ago against content hash acbe346e01c8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

stream-timecodes 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 1mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/process_vtt.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/stream-timecodes/SKILL.md · 96 lines

How it starts

The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Stream Timecodes

Автоматическое создание таймкодов для стримов, подкастов и видео из VTT-файлов транскрипции.

Входные данные

  • VTT файл с транскрипцией (любая длительность)
  • Путь к файлу через вложение в Telegram или прямой путь

Выходные данные

18 таймкодов в формате:

ЧЧ:ММ:СС - Краткое описание темы

Правила форматирования

КРИТИЧНО: Букву "ё" НЕ использовать!

  • Всегда заменять "ё" на "е"
  • ❌ "всё" → ✅ "все"
  • ❌ "ещё" → ✅ "еще"
  • ❌ "трёхчасовой" → ✅ "трехчасовой"

Формат таймкодов

  • Временная метка: ЧЧ:ММ:СС (всегда с ведущими нулями)
  • Разделитель: - (пробел-тире-пробел)
  • Описание: краткое, емкое, без "ё"
  • Длина описания: 30-70 символов

Стиль описаний

  • Без точки в конце
  • Начинать с заглавной буквы
  • Избегать общих фраз типа "Обсуждение темы"
  • Конкретика: упоминать ключевые моменты, имена, технологии
  • Без излишних подробностей

Процесс работы

  1. Получить VTT файл от пользователя
  2. Запустить обработку через скрипт scripts/process_vtt.py
  3. Проанализировать сегменты и выделить 18 ключевых моментов
  4. Создать описания для каждого таймкода (краткие, без "ё")
  5. Отправить в чат текстовым сообщением (НЕ файлом!)

Использование скрипта

python3 scripts/process_vtt.py /path/to/file.vtt

Скрипт выводит базовую разметку по 5-минутным интервалам. На основе этого вывода:

  • Выбери 18 самых важных моментов
  • Равномерно распредели по длительности
  • Создай краткие описания тем

Пример вывода

00:00:00 - Стартуем, приветствия
00:05:00 - История создания продукта на AI
00:10:00 - Колоссальный скачок в развитии AI
00:15:00 - Путь в вайбкод: от Linux до первых лендингов
00:20:00 - Deep research и база знаний через нейронки
00:25:00 - Разочарование в крипте
00:30:00 - AI растет, крипта стоит
00:35:00 - Промпт-инженеры и автоматизация
00:40:00 - AI vs человеческие навыки
00:45:00 - Регуляция AI неизбежна
00:50:00 - Китайские модели без цензуры
00:55:00 - Инструменты и RAG: много хайпа
01:00:00 - AI-агенты в реальности
01:05:00 - Оркестрация суб-агентов
01:10:00 - Почему Claude Code — лучший инструмент
01:15:00 - Безопасность AI-решений
01:20:00 - E-commerce проект и GigaChat
01:25:00 - Русские нейронки: катастрофа

Read the full file on GitHub · 96 lines

Files

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.

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. 1mo ago First seen · 96 lines · 71 tokens per session scan A acbe346e01c8

Subscribe to this mod's changes

stream-timecodes is a skill published in the GitHub repository howdeploy/kisa-stack (55 stars, last pushed 11d ago), licensed MIT. It adds 71 tokens to every session and 984 once invoked, about $0.0003 per session on Opus 5.5. 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.

Creative and media
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