Agent skill

Omh Media Input

by rlaope in 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…

MITAuto-check passedMedia & Creative

Install Omh Media Input

skills CLI
$ npx skills add rlaope/oh-my-hermes --skill omh-media-input -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install rlaope/oh-my-hermes omh-media-input --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-src

Use ~/.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/

Facts

Skill name
omh-media-input
GitHub stars
3.2k
Token cost
~2.3k tokens
SKILL.md length
1,038 words
Files
1
Skills in repo
143
Repo updated
First seen
Licence
MIT

At a glance

[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…

  • The user says: media-input-operator
  • SKILL.md covers Why This Exists, Do Not Use When, Examples and Completion Checklist, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Media input operator

What it does

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.

When your agent uses it

  • The user says: media-input-operator
  • Media input operator
  • Audio transcription
  • Audio transcript

Example prompts

  • “/omh-media-input”

What it can do on your machine

Read from SKILL.md and the folder at commit 7cd0d02. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    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.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

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.

Always · name and description, kept in context so the agent knows when to use it
~109
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from rlaope/oh-my-hermes at commit 7cd0d02, republished under its MIT licence (© rlaope). 1,038 words, ~2,252 tokens.

Download SKILL.mdSave it as .claude/skills/omh-media-input/SKILL.md (or your agent's skills folder).
name
omh-media-input
description
[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.

Media Input Operator

This is a Hermes-native media-input-operator workflow skill.

Why This Exists

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.

Do Not Use When

  • The request is already handled by a narrower explicit skill with stronger evidence.
  • The user asks OMH to secretly run external platforms, connectors, schedulers, file exports, or runtime agents.
  • The only safe answer is to ask for missing authority, credentials, target, or observed evidence first.

Examples

Good example:

  • Prompt: media-input-operator transcribe this audio meeting and summarize action items with evidence and timestamp boundaries.
  • Expected behavior: Produce prepare_media_input_card with required context, wrapper actions, and not-evidence boundaries.
  • Why: The prompt names a real workflow surface that Hermes can orchestrate without hiding execution.

Bad example:

  • Prompt: media-input-operator invent a YouTube transcript and claim the timestamps are verified without media evidence.
  • Expected behavior: Report the missing observed evidence or authority instead of claiming the external step happened.
  • Why: Prepared OMH guidance is not platform, runtime, connector, file, memory, or delivery evidence.

Completion Checklist

  • Media type, source location, permission boundary, transcript availability, language, requested output, timestamp requirement, and stop condition are explicit.
  • Downloads, uploads, ASR, transcript extraction, speaker labels, copyrighted media access, and provider setup are gated or marked missing.
  • Transcript text, OCR output, screenshot text, receipt fields, timestamps, quotes, action items, and media-summary claims are reported only from observed media or supplied transcript/extraction evidence.

Recovery Notes

  • If the media or transcript is missing, ask for the smallest source, file, transcript, or provider result needed.
  • If the request is broad current-source research about a video topic, route to research or source-finder before summary.
  • If the user wants a PPT/PDF/report generated from the media summary, route to materials-package after media input evidence is clear.
  • If the request is about whether a live duplex voice connector keeps whole spoken turns, route to external-connector-readiness for a realtime_voice_trial_receipt/v1 rather than treating a supplied recording as that evidence.

Workflow Lane

  • Current lane: Materials and visual summaries (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.
  • If intent belongs to another lane, hand back to oh-my-hermes or name the adjacent workflow.
  • Shared product, routing, compatibility, and evidence rules: omh-routing/references/skill-common-rail.md.

Use When

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`
Show full SKILL.md (450 more words)Show less

Catalog Metadata

Category: media Phase: media-input-task Hermes role: guide Quality tier: workflow-surface-gated Reasoning demand: standard

Quality bar:

  • Name the user-facing workflow objective, required context, next action, and stop condition.
  • Separate prepared guidance from observed platform, runtime, connector, file, memory, or delivery evidence.
  • Expose missing tools, credentials, targets, or observations as user-visible gaps.

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:

  • user request
  • target context
  • delivery or status expectation
  • known missing evidence

Expected outputs:

  • media_input_task_card/v1
  • media_source_scope/v1
  • transcript_boundary/v1
  • media_summary_plan/v1
  • media_result_manifest/v1 when observed
  • next action
  • prepared-vs-observed boundary

Artifact expectations:

  • media_input_task_card/v1 metadata-only wrapper card when prepared
  • media_source_scope/v1 with media type, source location, permission boundary, requested time range, and stop condition
  • transcript_boundary/v1 separating supplied transcript, missing transcript, ASR/extraction requirement, language, speaker labels, and confidence gaps
  • media_summary_plan/v1 naming action-item, timestamped, clip, chapter, quote, or evidence-linked summary method
  • media_result_manifest/v1 only when supplied transcript, media file metadata, provider response, or observed transcript output exists

Safety rules:

  • A media input card is not media access, file upload, download, transcript extraction, OCR output, screenshot text extraction, receipt fields, speech-to-text output, timestamp accuracy, copyright clearance, source retrieval, or summary correctness evidence unless observed media-result evidence records it.
  • Do not claim connector, gateway, runtime, file generation, memory mutation, or host automation evidence from prepared guidance.
  • A media_result_manifest/v1 describes a supplied recording or transcript. It is never a live duplex session, one-input-to-one-dispatch integrity, audible response behavior, or realtime voice readiness, and it cannot be promoted into one.

Runtime Evidence

Preferred harness for this skill: media-input-operator.

sh
omh runtime record --skill media-input-operator --harness media-input-operator --status started

Record observed delegation results; otherwise return not_available or not_observed. Prepared OMH routing is not execution, review, CI, merge-readiness, or merge evidence.

  • Treat wrapper memory/context summaries as advisory local context, not proof of opaque Hermes memory reads or changes. Preserve workflow intent and stop conditions; verify before claiming completion. Reply in the user's own words and the host's own voice: its SOUL.md persona owns reply language, tone, speech level, and sentence endings, progress updates included (where it sets no language, use the one the user wrote in), and OMH shapes structure and content only; OMH's record terms (surface, lane, wrapper, handoff, evidence boundary, not_observed) stay in records and tool calls, never in the sentence the user reads unless they ask about one; and when a stop condition or a decision the user owns ends the turn, offer the next action as a question rather than declaring what will not be done.

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

Files

Just SKILL.md in skills/omh-media-input of rlaope/oh-my-hermes.

Open the folder on GitHubat commit 7cd0d02

Compare with similar skills

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.

Omh Media Input compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Omh Media Input this skillrlaope/oh-my-hermes3.2k—~2.3kAutomated safety check: PassMIT
Native Subtitle Quote Imagechengyi-ai/native-subtitle-quote-image2.6k—~1.8kAutomated safety check: PassMIT
Video Dataoxylabs/agent-skills875—~1.4kAutomated safety check: PassMIT
Summarizetrpc-group/trpc-agent-go1.9k22 repos~552Automated safety check: PassApache-2.0
Youtube PublishAndonywang123/Epost197—~3.4kAutomated safety check: WarnNone
Youtube Transcribe Skillfeiskyer/codex-settings244—~745Automated safety check: PassMIT

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Works with

Questions about Omh Media Input

What does Omh Media Input do?

[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.

When should I use Omh Media Input?

Omh Media Input fits situations like: the user says: media-input-operator; media input operator; audio transcription; audio transcript.

How do I install Omh Media Input in Claude Code?

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.

How do I install Omh Media Input in Codex?

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.

Can I use Omh Media Input in Cursor, Gemini CLI or GitHub Copilot?

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.

What does Omh Media Input need to run?

SKILL.md names no scripts, command-line tools or credentials: Omh Media Input is instructions for the agent only.

Does Omh Media Input access the network?

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.

Is Omh Media Input safe to install?

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.

What licence does Omh Media Input use?

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.

How many tokens does Omh Media Input use?

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.

What are the alternatives to Omh Media Input?

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.

Who maintains Omh Media Input?

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.