media-to-transcript

media-to-transcript is a skill for Codex from bozhouDev/video-skills-toolkit. It costs 154 tokens per session (1,850 once invoked), scanned A, original, MIT.

A workflow for converting audio or video from local files or supported public links into corrected Markdown transcripts. It uses automatic speech recognition and can extract audio from video.

In plain words
What is it for?
Use it to create Markdown transcripts from Bilibili, Douyin, Xiaohongshu, YouTube, or local media. It can also prepare audio for recognition and use titles or topics to improve transcription context.
Why use it?
It saves the work of downloading media, separating audio, transcribing it, and correcting the transcript manually. Longer recordings can be split before processing.

Skill for Codex

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

Good fit Use it to create Markdown transcripts from Bilibili, Douyin, Xiaohongshu, YouTube, or local media. It can also prepare audio for recognition and use titles or topics to improve transcription context.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bozhoudev/video-skills-toolkit/media-to-transcript
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 bozhouDev/video-skills-toolkit --skill media-to-transcript
Clone the repo
git clone --depth 1 https://github.com/bozhouDev/video-skills-toolkit

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 media-to-transcript

README.md
[![agentmods](https://agentmods.dev/badge/skills/bozhoudev/video-skills-toolkit/media-to-transcript/github.svg)](https://agentmods.dev/skills/bozhoudev/video-skills-toolkit/media-to-transcript)
Your own site
<a href="https://agentmods.dev/skills/bozhoudev/video-skills-toolkit/media-to-transcript"><img src="https://agentmods.dev/badge/skills/bozhoudev/video-skills-toolkit/media-to-transcript/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 media-to-transcript

Your own site · 80×15
<a href="https://agentmods.dev/skills/bozhoudev/video-skills-toolkit/media-to-transcript"><img src="https://agentmods.dev/badge/skills/bozhoudev/video-skills-toolkit/media-to-transcript.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 154 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,850 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00154 $0.01850
Opus 5 $0.00077 $0.00925
Sonnet 5 $0.00031 $0.00370
Haiku 4.5 $0.00015 $0.00185

Measured 10d ago against content hash 9e0fd289c86f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

media-to-transcript 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 10d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/media_to_transcript.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/media-to-transcript/SKILL.md · 141 lines

How it starts

The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Media To Transcript

Use this skill to turn audio or video into a final Markdown transcript. The only ASR backend for this skill is Volcengine recording-file recognition 2.0:

  • submit endpoint: https://openspeech.bytedance.com/api/v3/auc/bigmodel/submit
  • query endpoint: https://openspeech.bytedance.com/api/v3/auc/bigmodel/query
  • resource id: volc.seedasr.auc

Do not use another ASR backend for this skill.

Workflow

  1. Run the doctor if this is the first run, after environment changes, or after an error:
SKILL_DIR="<SKILL_ROOT>/media-to-transcript"
rtk python3 "$SKILL_DIR/scripts/media_to_transcript.py" --doctor
  1. Run the pipeline from the notes vault root:
SKILL_DIR="<SKILL_ROOT>/media-to-transcript"
rtk python3 "$SKILL_DIR/scripts/media_to_transcript.py" "<URL或本地媒体路径>" --topic "视频主题或关键词" --language zh-CN

The script automatically builds AUC context from available media metadata such as title, platform, author, duration, description, and short source URL. It keeps this ASR context under 500 Chinese characters. User-provided --topic, --context, and --context-file are also included in the same 500-character AUC context budget.

For downloaded or local media longer than 180 seconds, the script splits audio into 3-minute chunks, uploads each chunk, submits AUC tasks in parallel, and merges the returned utterances back onto the original timeline.

  1. Read the generated correction-prompt.md and raw-transcript.md.
  2. Apply the AI correction rules in references/correction-guidelines.md.
  3. Save the corrected transcript to the finalTranscriptTarget path printed by the script, and show the full transcript to the user unless they explicitly only asked for a file.

CLI

SKILL_DIR="<SKILL_ROOT>/media-to-transcript"

# Video URL: download video, extract mp3, upload to R2, then run AUC ASR
rtk python3 "$SKILL_DIR/scripts/media_to_transcript.py" "https://www.bilibili.com/video/BVxxx" --topic "AI 编程工具评测"

# Local audio/video
rtk python3 "$SKILL_DIR/scripts/media_to_transcript.py" "/path/to/audio.mp3" --media-kind audio --topic "访谈"

# Add context or terminology hints for ASR and correction
rtk python3 "$SKILL_DIR/scripts/media_to_transcript.py" video.mp4 \
  --topic "Claude Code 和 Codex 使用经验" \
  --context "技术词: Codex, Claude Code, MCP, HyperFrames, R2" \
  --context-file "AI Wiki/raw/some-material.md"

# Enable Volcengine utterance emotion labels when explicitly useful
rtk python3 "$SKILL_DIR/scripts/media_to_transcript.py" video.mp4 --emotion --topic "访谈"

# Convert an existing AUC result JSON into raw transcript + correction prompt
rtk python3 "$SKILL_DIR/scripts/media_to_transcript.py" --from-asr-json asr/auc-result.json --title "视频标题"

Read the full file on GitHub · 141 lines

Files

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.

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. 10d ago First seen · 141 lines · 154 tokens per session scan A 9e0fd289c86f

Subscribe to this mod's changes

media-to-transcript is a skill published in the GitHub repository bozhouDev/video-skills-toolkit (139 stars, last pushed 1mo ago), licensed MIT. It adds 154 tokens to every session and 1,850 once invoked, about $0.0008 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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