Native Subtitle Quote Image
chengyi-ai/native-subtitle-quote-image
将本地视频或用户有权处理的在线视频,经过来源获取、文字稿定位、选题选句、精确取帧、紧凑裁切、拼图和逐张质检,制作成 3:4 或保留画面原比例的视频字幕长图。支持两种明确分开的输出:保留画面内已烧录字幕的原生字幕模式,以及把已审核的时间点与台词绘制到真实视频帧上的脚本字幕模式。用户要求原生字幕截图、字幕帧拼图、YouTube…
[omh] Audio, video, or screenshot to process: user-sent media - audio, video, YouTube links, screenshots, receipts, OCR, meeting recordings, transcripts, timestamps, and clip summaries, gated for…
$ npx skills add rlaope/oh-my-hermes --skill omh-media-input -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install rlaope/oh-my-hermes omh-media-input --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/rlaope/oh-my-hermes.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/omh-media-input .claude/skills/omh-media-input && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "omh-media-input" agent skill from https://github.com/rlaope/oh-my-hermes/tree/main/skills/omh-media-input into .claude/skills/omh-media-input/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "omh-media-input", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/rlaope/oh-my-hermes/tree/main/skills/omh-media-inputType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add rlaope/oh-my-hermes --skill omh-media-input -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install rlaope/oh-my-hermes omh-media-input --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rlaope/oh-my-hermes.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/omh-media-input .agents/skills/omh-media-input && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "omh-media-input" agent skill from https://github.com/rlaope/oh-my-hermes/tree/main/skills/omh-media-input into .agents/skills/omh-media-input/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "omh-media-input", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add rlaope/oh-my-hermes --skill omh-media-input -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install rlaope/oh-my-hermes omh-media-input --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rlaope/oh-my-hermes.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/omh-media-input .cursor/skills/omh-media-input && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "omh-media-input" agent skill from https://github.com/rlaope/oh-my-hermes/tree/main/skills/omh-media-input into .cursor/skills/omh-media-input/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "omh-media-input", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/rlaope/oh-my-hermes.git --path skills/omh-media-input--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add rlaope/oh-my-hermes --skill omh-media-input -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install rlaope/oh-my-hermes omh-media-input --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rlaope/oh-my-hermes.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/omh-media-input .gemini/skills/omh-media-input && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "omh-media-input" agent skill from https://github.com/rlaope/oh-my-hermes/tree/main/skills/omh-media-input into .gemini/skills/omh-media-input/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "omh-media-input", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install rlaope/oh-my-hermes omh-media-inputInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add rlaope/oh-my-hermes --skill omh-media-input -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/rlaope/oh-my-hermes.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/omh-media-input .github/skills/omh-media-input && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "omh-media-input" agent skill from https://github.com/rlaope/oh-my-hermes/tree/main/skills/omh-media-input into .github/skills/omh-media-input/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "omh-media-input", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add rlaope/oh-my-hermes --skill omh-media-input -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install rlaope/oh-my-hermes omh-media-input --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rlaope/oh-my-hermes.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/omh-media-input .opencode/skills/omh-media-input && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "omh-media-input" agent skill from https://github.com/rlaope/oh-my-hermes/tree/main/skills/omh-media-input into .opencode/skills/omh-media-input/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "omh-media-input", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
omh-media-input[omh] Audio, video, or screenshot to process: user-sent media - audio, video, YouTube links, screenshots, receipts, OCR, meeting recordings, transcripts, timestamps, and clip summaries, gated for…
Omh Media Input is an agent skill from rlaope/oh-my-hermes. [omh] Audio, video, or screenshot to process: user-sent media - audio, video, YouTube links, screenshots, receipts, OCR, meeting recordings, transcripts, timestamps, and clip summaries, gated for source, permission, and hallucination risk. Use when the user says: media-input-operator, media input operator, media input, audio transcription, audio transcript, transcribe audio, transcribe this audio, meeting recording.
Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Media & Creative, covering Transcription. It works with YouTube. The repository describes itself as: All in one plugin for Hermes Agent ⚚ the coding intelligence, a long-term memory system and model optimized workflow packages. The licence is MIT.
Read from SKILL.md and the folder at commit 7cd0d02. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Omh Media Input loads about 2.3k tokens when it runs. Until then it costs about 109 tokens; SKILL.md has 1,038 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from rlaope/oh-my-hermes at commit 7cd0d02, republished under its MIT licence (© rlaope). 1,038 words, ~2,252 tokens.
.claude/skills/omh-media-input/SKILL.md (or your agent's skills folder).This is a Hermes-native media-input-operator workflow skill.
media-input-operator exists so Hermes users can ask for this workflow in chat and get a structured, checkable answer instead of an improvised one.
Good example:
prepare_media_input_card with required context, wrapper actions, and not-evidence boundaries.Bad example:
design-orchestration, apple-design, design-quality-gate, award-bar-score, frontend, accessibility-audit, visual-qa, content-operator, +6 more) - web, accessibility, visual QA, files, and packages.oh-my-hermes or name the adjacent workflow.omh-routing/references/skill-common-rail.md.Use when Hermes should prepare or supervise audio/video transcript, YouTube/video summary, OCR, screenshot text extraction, receipt image parsing, or timestamped media extraction work without claiming media access, download, transcription, OCR output, or factual summary evidence.
Strong routing signals: `media-input-operator`, `media input operator`, `media input`, `audio transcription`, `audio transcript`, `transcribe audio`, `transcribe this audio`, `meeting recording`, `recording transcript`, `video transcript`, `youtube summary`, `youtube video`, `summarize youtube`, `summarize this youtube`, `video summary`, `summarize this video`, `ocr image`, `image ocr`, `photo ocr`, `picture ocr`, `graphic ocr`, `screenshot ocr`, `ocr this image`, `ocr receipt image`, `ocr this receipt image`, `receipt ocr`, `receipt image ocr`, `receipt text`, `receipt text from image`, `receipt fields`, `receipt fields from image`, `receipt image extraction`, `receipt image text`, `receipt image fields`, `parse receipt image`, `receipt image parse`, `receipt image into fields`, `image text extraction`, `extract text from image`, `extract text from this image`, `screenshot text extraction`, `extract text from screenshot`, `extract text from this screenshot`, `screenshot to text`, `timestamps`, `with timestamps`, `clip summary`, `podcast summary`, `webinar summary`, `오디오 전사`, `음성 전사`, `회의 녹음`, `녹음 요약`, `영상 요약`, `유튜브 요약`, `youtube 요약`, `이미지 ocr`, `이미지 OCR`, `이미지 텍스트 추출`, `이미지에서 텍스트 추출`, `영수증 ocr`, `영수증 OCR`, `영수증 이미지 ocr`, `영수증 이미지 OCR`, `스크린샷 텍스트 추출`, `스크린샷에서 텍스트 추출`, `타임스탬프`, `타임라인 요약`Category: media
Phase: media-input-task
Hermes role: guide
Quality tier: workflow-surface-gated
Reasoning demand: standard
Quality bar:
Handoff policy:
Keep this as Hermes-facing orchestration guidance first. Prepare executor, connector, gateway, or host-runtime handoff only when the user accepts that next step and observed evidence can be recorded.
Required inputs:
Expected outputs:
Artifact expectations:
Safety rules:
Preferred harness for this skill: media-input-operator.
omh runtime record --skill media-input-operator --harness media-input-operator --status startedRecord observed delegation results; otherwise return not_available or not_observed.
Prepared OMH routing is not execution, review, CI, merge-readiness, or merge evidence.
Use Hermes-native subagent/delegation features when available: native subagents -> Hermes delegation when available, otherwise sequential lanes.
Shared product, compatibility, topology, memory, harness, and execution rules: omh-routing/references/skill-common-rail.md. Load it when applicable; otherwise name an unavailable capability.
© rlaope, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/omh-media-input of rlaope/oh-my-hermes.
Open the folder on GitHubat commit 7cd0d02
Omh Media Input next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Omh Media Input this skillrlaope/oh-my-hermes | 3.2k | — | ~2.3k | Automated safety check: Pass | MIT | |
| Native Subtitle Quote Imagechengyi-ai/native-subtitle-quote-image | 2.6k | — | ~1.8k | Automated safety check: Pass | MIT | |
| Video Dataoxylabs/agent-skills | 875 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Summarizetrpc-group/trpc-agent-go | 1.9k | 22 repos | ~552 | Automated safety check: Pass | Apache-2.0 | |
| Youtube PublishAndonywang123/Epost | 197 | — | ~3.4k | Automated safety check: Warn | None | |
| Youtube Transcribe Skillfeiskyer/codex-settings | 244 | — | ~745 | Automated safety check: Pass | MIT |
chengyi-ai/native-subtitle-quote-image
将本地视频或用户有权处理的在线视频,经过来源获取、文字稿定位、选题选句、精确取帧、紧凑裁切、拼图和逐张质检,制作成 3:4 或保留画面原比例的视频字幕长图。支持两种明确分开的输出:保留画面内已烧录字幕的原生字幕模式,以及把已审核的时间点与台词绘制到真实视频帧上的脚本字幕模式。用户要求原生字幕截图、字幕帧拼图、YouTube…
oxylabs/agent-skills
YouTube data extraction API and high-bandwidth proxy downloads.
trpc-group/trpc-agent-go
Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).
Andonywang123/Epost
Prepare an English YouTube release with local Chinese-to-English translation, subtitles and cover localization, then use a deterministic script connected to dedicated Chrome and YouTube Studio to…
feiskyer/codex-settings
Extract subtitles or a transcript from a YouTube URL and save normalized timestamped text locally.
oxbshw/watch-skill
The user shared a video URL, a YouTube/TikTok/stream link, a local video file, a screen recording, a meeting recording, or a playlist/folder of videos — "watch this", "summarize this video", "what's…
rlaope/oh-my-hermes
[omh] Screen-reader or keyboard accessibility gaps: prepare WCAG, keyboard, focus, screen-reader, target-size, and reflow evidence gates for UI surfaces.
rlaope/oh-my-hermes
[omh] Choosing between coding agents on evidence: compare executor or agent choices on reproducible tasks using quality, cost, time, tool, and evidence metrics.
rlaope/oh-my-hermes
[omh] Agent instruction file for a repo -- AGENTS.md, CLAUDE.md, a Cursor rule: write or update what an agent cannot derive from the code, inside a marked region, with every command verified or…
rlaope/oh-my-hermes
[omh] AI agent progress for managers: help managers inspect AI-agent progress, blockers, quality gates, and throughput levers.
rlaope/oh-my-hermes
[omh] Messy or AI-generated code to clean up: delete AI-generated slop, dead code, and duplication while observable behavior stays identical.
rlaope/oh-my-hermes
[omh] Application code misbehaves -- a wrong value, a flaky test, a lost update: reproduce it first, form competing hypotheses, discriminate them with the cheapest observation, and only then fix the…
Works with
Categories
[omh] Audio, video, or screenshot to process: user-sent media - audio, video, YouTube links, screenshots, receipts, OCR, meeting recordings, transcripts, timestamps, and clip summaries, gated for…. Omh Media Input is an agent skill from rlaope/oh-my-hermes. [omh] Audio, video, or screenshot to process: user-sent media - audio, video, YouTube links, screenshots, receipts, OCR, meeting recordings, transcripts, timestamps, and clip summaries, gated for source, permission, and hallucination risk.
Omh Media Input fits situations like: the user says: media-input-operator; media input operator; audio transcription; audio transcript.
Run `npx skills add rlaope/oh-my-hermes --skill omh-media-input -a claude-code`. Or copy the skill folder (skills/omh-media-input in rlaope/oh-my-hermes) into .claude/skills/omh-media-input in your project. Claude Code loads it when a task matches its description.
Run `npx skills add rlaope/oh-my-hermes --skill omh-media-input -a codex`. Or copy the skill folder (skills/omh-media-input in rlaope/oh-my-hermes) into .agents/skills/omh-media-input in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add rlaope/oh-my-hermes --skill omh-media-input -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/omh-media-input, .gemini/skills/omh-media-input, .github/skills/omh-media-input and .opencode/skills/omh-media-input in your project.
SKILL.md names no scripts, command-line tools or credentials: Omh Media Input is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Omh Media Input is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.3k tokens (SKILL.md is roughly 9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Omh Media Input: Native Subtitle Quote Image (chengyi-ai/native-subtitle-quote-image, 2.6k stars), Video Data (oxylabs/agent-skills, 875 stars), Summarize (trpc-group/trpc-agent-go, 1.9k stars) and Youtube Publish (Andonywang123/Epost, 197 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
rlaope (a GitHub user) maintains it in rlaope/oh-my-hermes, which has 3,243 GitHub stars. The repository holds 143 skills in this directory. The repository was last updated on October 10, 2026.
Source: rlaope/oh-my-hermes on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.