Agent skill

Free Youtube Video Editor

by LeoYeAI in LeoYeAI/openclaw-master-skills

The free-youtube-video-editor skill on ClawHub lets creators trim dead air, cut between scenes, merge segments, and export YouTube-optimized clips without spending a dollar on desktop software.

MITAuto-check passedWriting & Content

Install Free Youtube Video Editor

skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill free-youtube-video-editor -a claude-code

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

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills free-youtube-video-editor --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/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/free-youtube-video-editor .claude/skills/free-youtube-video-editor && 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
free-youtube-video-editor
GitHub stars
2.2k
Token cost
~4.4k tokens
SKILL.md length
1,913 words
Files
2
Skills in repo
1,235
Repo updated
First seen
Licence
MIT

At a glance

The free-youtube-video-editor skill on ClawHub lets creators trim dead air, cut between scenes, merge segments, and export YouTube-optimized clips without spending a dollar on desktop software.

  • Works in 8 steps: First Contact → Routing Incoming Requests to the Correct… → Primary Workflow Sequences → …
  • Tasks that involve Plain language and style rules
  • SKILL.md covers 0. First Contact, 2. Routing Incoming Requests…, 3. Primary Workflow Sequences and 4. Translating Backend GUI…, plus 4 more sections
  • Calls curl; reaches mega-api-prod.nemovideo.ai and nemovideo.com; needs NEMO_TOKEN

What it does

Free Youtube Video Editor is an agent skill from LeoYeAI/openclaw-master-skills. The free-youtube-video-editor skill on ClawHub lets creators trim dead air, cut between scenes, merge segments, and export YouTube-optimized clips without spending a dollar on desktop software. Upload your raw footage in mp4, mov, avi, webm, or mkv format and describe your edits in plain language — no timelines, no keyframes. Built for solo creators, educators, and small channels who need fast turnaround on talking-head videos, tutorials, vlogs, and short-form content. Supports mp4, mov, avi, webm, and mkv.

Its SKILL.md is about 4.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `_meta.json`).

It sits in Writing & Content, covering Plain language and style rules. It works with YouTube. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.

When your agent uses it

  • Tasks that involve Plain language and style rules

Example prompts

  • “/free-youtube-video-editor”

Requirements

  • A credential in NEMO_TOKEN

Workflow steps

8 steps, taken from the step headings in SKILL.md.

  1. First Contact
  2. Routing Incoming Requests to the Correct Endpoint
  3. Primary Workflow Sequences
  4. Translating Backend GUI References for the User
  5. Recommended Conversational Patterns
  6. Known Constraints and Limitations
  7. Error Recognition and Response Guidance
  8. API Version Compatibility and Required Token Scopes

What it can do on your machine

Read from SKILL.md and the folder at commit e5199b5. 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

    Shell commands in SKILL.md call:

    • curl

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • mega-api-prod.nemovideo.ai
    • nemovideo.com

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

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • NEMO_TOKEN

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

Context cost

Free Youtube Video Editor loads about 4.4k tokens when it runs. Until then it costs about 135 tokens; SKILL.md has 1,913 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~135
When it runs · the whole SKILL.md, loaded when a task matches
~4.4k

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 LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 1,913 words, ~4,437 tokens.

Download SKILL.mdSave it as .claude/skills/free-youtube-video-editor/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
free-youtube-video-editor
description
The free-youtube-video-editor skill on ClawHub lets creators trim dead air, cut between scenes, merge segments, and export YouTube-optimized clips without spending a dollar on desktop software. Upload your raw footage in mp4, mov, avi, webm, or mkv format and describe your edits in plain language — no timelines, no keyframes. Built for solo creators, educators, and small channels who need fast turnaround on talking-head videos, tutorials, vlogs, and short-form content. Supports mp4, mov, avi, webm, and mkv.
version
1.2.1
displayName
Free YouTube Video Editor — Trim, Cut & Export Ready-to-Upload Clips
homepage
https://nemovideo.com
apiDomain
https://mega-api-prod.nemovideo.ai
repository
https://github.com/nemovideo/nemovideo_skills

0. First Contact

When the user opens this skill or sends their first message, greet them immediately:

🎵 Welcome! I can youtube video editor for you. Share a video file or tell me your idea!

Try saying:

  • "add a fade-in transition"
  • "make it look cinematic"
  • "speed up by 2x"

IMPORTANT: Always greet the user proactively on first contact. Let them know you're setting up while connecting. Always greet the user proactively on first contact.

Auto-Setup

When the user first interacts, set up the connection:

  1. Check token: If NEMO_TOKEN env var is set, use it. Otherwise:
  2. Read or generate Client-ID:
    • Read ~/.config/nemovideo/client_id if it exists
    • Otherwise generate a UUID, save it to ~/.config/nemovideo/client_id
  3. Acquire anonymous token:
    bash
    curl -s -X POST "https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token" -H "X-Client-Id: $CLIENT_ID"
    Store the returned token as NEMO_TOKEN for this session. You get 100 free credits.
  4. Create a session (§3.0) so you're ready to work immediately.

Let the user know briefly: "Setting things up… ready!" then proceed with their request.

Edit YouTube Videos by Just Describing What You Want

Most video editing tools assume you already know what a B-roll cutaway or a J-cut is. The free-youtube-video-editor skill flips that assumption entirely. You upload your raw footage and tell the AI what the final video should look like — 'remove the first 30 seconds where I'm fumbling with the mic' or 'cut straight to where I start the demo' — and the system handles the rest.

Under the hood, ClawHub's OpenClaw agent interprets your natural-language instructions and maps them to precise edit operations: trimming, splitting, reordering, and stitching segments back together in the sequence you described. The agent maintains context across the conversation, so you can refine iteratively — asking for a tighter cut here, a longer pause there — without starting over from scratch each time.

This skill is specifically designed around the YouTube production workflow. That means the output is formatted for direct upload: correct aspect ratios, clean in/out points, and no re-encoding artifacts that tank quality on YouTube's compression pipeline. Whether you're cleaning up a 45-minute tutorial or punching up a 90-second product showcase, the editing conversation stays focused on your content, not on software menus.

Environment Variables
VariableRequiredDefault
NEMO_TOKENNoAuto-generated (100 free credits, expires in 7 days, revocable via Settings → API Tokens)
NEMO_API_URLNohttps://mega-api-prod.nemovideo.ai
NEMO_WEB_URLNohttps://nemovideo.com
NEMO_CLIENT_IDNoAuto-generated UUID, persisted to ~/.config/nemovideo/client_id (UUID only, no secrets)
SKILL_SOURCENoAuto-detected from install path, fallback unknown

If NEMO_TOKEN is not set, get one (requires X-Client-Id header):

bash
# Generate or read persisted Client-Id
CLIENT_ID="${NEMO_CLIENT_ID:-$(cat ~/.config/nemovideo/client_id 2>/dev/null)}"
if [ -z "$CLIENT_ID" ]; then
  CLIENT_ID=$(uuidgen 2>/dev/null || echo "client-$(date +%s)-$RANDOM")
  mkdir -p ~/.config/nemovideo & echo "$CLIENT_ID" > ~/.config/nemovideo/client_id
fi
curl -s -X POST "https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token" -H "X-Client-Id: $CLIENT_ID"
# → {"code":0,"data":{"token":"nmv_usr_xxx","credits":100,...}}

Save token as NEMO_TOKEN, CLIENT_ID as NEMO_CLIENT_ID. Anonymous: 1 token per client per 7 days; token expires in 7 days and can be revoked at any time via Settings → API Tokens on nemovideo.com. If your token expires, request a new one with the same X-Client-Id.

Local persistence: This skill writes ~/.config/nemovideo/client_id to persist the Client-Id across sessions. This avoids generating a new ID on every request, which would hit the per-IP rate limit quickly (default 10 tokens per 7 days per IP). The file contains only a UUID — no credentials are stored locally.

2. Routing Incoming Requests to the Correct Endpoint

Use the table below to determine which endpoint handles each type of user request.

User says...ActionSkip SSE
"export" / "导出" / "download" / "send me the video"→ §3.5 Export✅
"credits" / "积分" / "balance" / "余额"→ §3.3 Credits✅
"status" / "状态" / "show tracks"→ §3.4 State✅
"upload" / "上传" / user sends file→ §3.2 Upload✅
Everything else (generate, edit, add BGM…)→ §3.1 SSE❌

3. Primary Workflow Sequences

$API = ${NEMO_API_URL:-https://mega-api-prod.nemovideo.ai}, $TOKEN = ${NEMO_TOKEN}, $WEB = ${NEMO_WEB_URL:-https://nemovideo.com}.

Skill attribution variables — do NOT hardcode:

  • $SKILL_NAME = this file's YAML frontmatter name
  • $SKILL_VERSION = this file's YAML frontmatter version
  • $SKILL_SOURCE = detect at runtime using the first match:
    1. Env SKILL_SOURCE if set
    2. If this file's path contains a known platform directory (e.g. ~/.clawhub/ → clawhub, ~/.cursor/skills/ → cursor)
    3. Fallback: unknown

CRITICAL: ALL API requests (including render/export/upload/state/credits) MUST include these headers. Missing them will cause export to fail with 402.

X-Skill-Source: $SKILL_NAME
X-Skill-Version: $SKILL_VERSION
X-Skill-Platform: $SKILL_SOURCE
3.0 Establishing a New Session
bash
curl -s -X POST "https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent" \
  -H "Authorization: Bearer $TOKEN" -H "Content-Type: application/json" \
  -H "X-Skill-Source: $SKILL_NAME" -H "X-Skill-Version: $SKILL_VERSION" -H "X-Skill-Platform: $SKILL_SOURCE" \
  -d '{"task_name":"project","language":"<lang>"}'
# → {"code":0,"data":{"task_id":"...","session_id":"..."}}

Before any editing actions can occur, a session must be initialized with the backend. This session ID ties all subsequent requests together for the duration of the editing task.

Open in browser: After creating a session, give the user a link to view/edit the task in NemoVideo: $WEB/workspace/claim?task={task_id}&session={session_id}&skill_name=$SKILL_NAME&skill_version=$SKILL_VERSION&skill_source=$SKILL_SOURCE

3.1 Delivering Messages Through the SSE Channel
bash
curl -s -X POST "https://mega-api-prod.nemovideo.ai/run_sse" \
  -H "Authorization: Bearer $TOKEN" -H "Content-Type: application/json" \
  -H "Accept: text/event-stream" -H "X-Skill-Source: $SKILL_NAME" -H "X-Skill-Version: $SKILL_VERSION" -H "X-Skill-Platform: $SKILL_SOURCE" --max-time 900 \
  -d '{"app_name":"nemo_agent","user_id":"me","session_id":"<sid>","new_message":{"parts":[{"text":"<msg>"}]}}'

All conversational messages to the editing backend are transmitted as Server-Sent Events over a persistent connection.

SSE Handling
EventAction
Text responseApply GUI translation (§4), present to user
Tool call/resultProcess internally, don't forward
heartbeat / empty data:Keep waiting. Every 2 min: "⏳ Still working..."
Stream closesProcess final response

Typical durations: text 5-15s, video generation 100-300s, editing 10-30s.

Timeout: 10 min heartbeats-only → assume timeout. Never re-send during generation (duplicates + double-charge).

Ignore trailing "I encountered a temporary issue" if prior responses were normal.

Silent Response Fallback (CRITICAL)

Approximately 30% of editing operations complete without returning any text in the response body. When this occurs: (1) do not treat the absence of text as an error or failure, (2) poll the session state endpoint to confirm the operation status, (3) surface a neutral status message to the user such as 'Your edit is being processed,' and (4) proceed to the export step once the state confirms completion.

Two-stage generation: After delivering the raw edited video, the backend automatically initiates a second processing stage that layers in background music and generates a title overlay. These two stages are sequential and distinct — do not attempt to trigger the second stage manually or treat the intermediate raw output as the final deliverable.

3.2 Handling File Uploads

File upload: curl -s -X POST "https://mega-api-prod.nemovideo.ai/api/upload-video/nemo_agent/me/<sid>" -H "Authorization: Bearer $TOKEN" -H "X-Skill-Source: $SKILL_NAME" -H "X-Skill-Version: $SKILL_VERSION" -H "X-Skill-Platform: $SKILL_SOURCE" -F "files=@/path/to/file"

URL upload: curl -s -X POST "https://mega-api-prod.nemovideo.ai/api/upload-video/nemo_agent/me/<sid>" -H "Authorization: Bearer $TOKEN" -H "Content-Type: application/json" -H "X-Skill-Source: $SKILL_NAME" -H "X-Skill-Version: $SKILL_VERSION" -H "X-Skill-Platform: $SKILL_SOURCE" -d '{"urls":["<url>"],"source_type":"url"}'

Use me in the path; backend resolves user from token.

Supported: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

The upload endpoint accepts video files submitted directly by the user and returns a file reference ID for use in subsequent editing requests.

3.3 Checking Available Credits
bash
curl -s "https://mega-api-prod.nemovideo.ai/api/credits/balance/simple" -H "Authorization: Bearer $TOKEN" \
  -H "X-Skill-Source: $SKILL_NAME" -H "X-Skill-Version: $SKILL_VERSION" -H "X-Skill-Platform: $SKILL_SOURCE"
# → {"code":0,"data":{"available":XXX,"frozen":XX,"total":XXX}}

Query the credits endpoint before initiating any edit operation to confirm the user has a sufficient balance to proceed.

3.4 Retrieving Current Session State
bash
curl -s "https://mega-api-prod.nemovideo.ai/api/state/nemo_agent/me/<sid>/latest" -H "Authorization: Bearer $TOKEN" \
  -H "X-Skill-Source: $SKILL_NAME" -H "X-Skill-Version: $SKILL_VERSION" -H "X-Skill-Platform: $SKILL_SOURCE"

Use me for user in path; backend resolves from token. Key fields: data.state.draft, data.state.video_infos, data.state.canvas_config, data.state.generated_media.

Draft field mapping: t=tracks, tt=track type (0=video, 1=audio, 7=text), sg=segments, d=duration(ms), m=metadata.

Draft ready for export when draft.t exists with at least one track with non-empty sg.

Track summary format:

Timeline (3 tracks): 1. Video: city timelapse (0-10s) 2. BGM: Lo-fi (0-10s, 35%) 3. Title: "Urban Dreams" (0-3s)
Show full SKILL.md (833 more words)Show less
3.5 Triggering Export and Delivering the Final File

Export does NOT cost credits. Only generation/editing consumes credits.

Exporting the finished clip does not deduct any credits from the user's balance. The export sequence proceeds as follows: (a) confirm the session state shows a completed edit, (b) call the export endpoint with the active session ID, (c) poll for the export job status until it returns a completed state, (d) retrieve the download URL from the completed export response, and (e) present that URL to the user as their ready-to-upload file.

b) Submit: curl -s -X POST "https://mega-api-prod.nemovideo.ai/api/render/proxy/lambda" -H "Authorization: Bearer $TOKEN" -H "Content-Type: application/json" -H "X-Skill-Source: $SKILL_NAME" -H "X-Skill-Version: $SKILL_VERSION" -H "X-Skill-Platform: $SKILL_SOURCE" -d '{"id":"render_<ts>","sessionId":"<sid>","draft":<json>,"output":{"format":"mp4","quality":"high"}}'

Note: sessionId is camelCase (exception). On failure → new id, retry once.

c) Poll (every 30s, max 10 polls): curl -s "https://mega-api-prod.nemovideo.ai/api/render/proxy/lambda/<id>" -H "Authorization: Bearer $TOKEN" -H "X-Skill-Source: $SKILL_NAME" -H "X-Skill-Version: $SKILL_VERSION" -H "X-Skill-Platform: $SKILL_SOURCE"

Status at top-level status: pending → processing → completed / failed. Download URL at output.url.

d) Download from output.url → send to user. Fallback: https://mega-api-prod.nemovideo.ai/api/render/proxy/<id>/download.

e) When delivering the video, always also give the task detail link: $WEB/workspace/claim?task={task_id}&session={session_id}&skill_name=$SKILL_NAME&skill_version=$SKILL_VERSION&skill_source=$SKILL_SOURCE

Progress messages: start "⏳ Rendering ~30s" → "⏳ 50%" → "✅ Video ready!" + file + task detail link.

3.6 Recovering from an SSE Disconnection

If the SSE stream drops unexpectedly, follow these recovery steps: (1) immediately attempt to re-establish the SSE connection using the existing session ID rather than creating a new session, (2) query the session state endpoint to determine how much of the previous operation completed before the disconnect, (3) if the operation was already finished, proceed directly to export without replaying the edit request, (4) if the operation was still in progress, resume listening on the reconnected stream and await the completion event, and (5) notify the user of the brief interruption only if the reconnection attempt exceeds a reasonable timeout threshold.

4. Translating Backend GUI References for the User

The backend is built around a graphical interface and will occasionally reference UI elements in its responses — never pass those GUI-specific instructions through to the user verbatim.

Backend saysYou do
"click [button]" / "点击"Execute via API
"open [panel]" / "打开"Show state via §3.4
"drag/drop" / "拖拽"Send edit via SSE
"preview in timeline"Show track summary
"Export button" / "导出"Execute §3.5
"check account/billing"Check §3.3

Keep content descriptions. Strip GUI actions.

• Confirm what the user wants to accomplish before initiating any API call, especially for destructive operations like trimming or cutting. • After each editing step completes, summarize what changed in plain language rather than exposing raw response payloads. • When a silent response occurs, bridge the gap with a brief progress acknowledgment so the user does not assume something went wrong. • If the user requests an action that would exceed their credit balance, explain the limitation clearly and offer to check remaining credits before proceeding. • Always present the final export URL as a direct, clickable link accompanied by a short confirmation that the file is ready to upload.

6. Known Constraints and Limitations

• Only one active editing session per user is supported at a time; starting a new session will not automatically close a previous one. • The two-stage post-processing pipeline for BGM and title overlays cannot be skipped or reordered by the AI layer. • Export operations are available only after the session state reflects a fully completed edit — calling export prematurely will return an error. • File uploads are subject to size and format restrictions defined by the upload endpoint; the AI layer cannot override these constraints. • Credit balances are read-only from the AI perspective — the skill can check and display them but cannot add, adjust, or refund credits.

7. Error Recognition and Response Guidance

The table below maps common HTTP error codes returned by the API to their likely causes and the recommended recovery action for each.

CodeMeaningAction
0SuccessContinue
1001Bad/expired tokenRe-auth via anonymous-token (tokens expire after 7 days)
1002Session not foundNew session §3.0
2001No creditsAnonymous: show registration URL with ?bind=<id> (get <id> from create-session or state response when needed). Registered: "Top up at nemovideo.ai"
4001Unsupported fileShow supported formats
4002File too largeSuggest compress/trim
400Missing X-Client-IdGenerate Client-Id and retry (see §1)
402Free plan export blockedSubscription tier issue, NOT credits. "Register at nemovideo.ai to unlock export."
429Rate limit (1 token/client/7 days)Retry in 30s once

Common: no video → generate first; render fail → retry new id; SSE timeout → §3.6; silent edit → §3.1 fallback.

8. API Version Compatibility and Required Token Scopes

Always verify that the API version specified in the request header matches the version this skill was certified against before making any calls. Token scopes must include read access for session state and credits endpoints, and write access for the message, upload, and export endpoints. Attempting to call an endpoint without the appropriate scope will result in a 403 response regardless of token validity. If a version mismatch is detected, surface a clear notice to the user rather than proceeding with potentially incompatible calls.

© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/free-youtube-video-editor of LeoYeAI/openclaw-master-skills.

  • SKILL.md
  • _meta.json

Open the folder on GitHubat commit e5199b5

Compare with similar skills

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Statusanthropics/claude-for-legal9.6k3 repos~1.8kAutomated safety check: PassApache-2.0
Jev Question Translatorlawve-ai/awesome-legal-skills847—~6.9kAutomated safety check: PassApache-2.0
Asd Ste100danyuchn/asd-ste100-skill4.3k—~4.1kAutomated safety check: PassMIT
Technical Writing Standardcursor/plugins11k10 repos~2.3kAutomated safety check: PassNone

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Works with

Questions about Free Youtube Video Editor

What does Free Youtube Video Editor do?

The free-youtube-video-editor skill on ClawHub lets creators trim dead air, cut between scenes, merge segments, and export YouTube-optimized clips without spending a dollar on desktop software. Free Youtube Video Editor is an agent skill from LeoYeAI/openclaw-master-skills. The free-youtube-video-editor skill on ClawHub lets creators trim dead air, cut between scenes, merge segments, and export YouTube-optimized clips without spending a dollar on desktop software.

When should I use Free Youtube Video Editor?

Free Youtube Video Editor fits situations like: tasks that involve Plain language and style rules.

How do I install Free Youtube Video Editor in Claude Code?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill free-youtube-video-editor -a claude-code`. Or copy the skill folder (skills/free-youtube-video-editor in LeoYeAI/openclaw-master-skills) into .claude/skills/free-youtube-video-editor in your project. Claude Code loads it when a task matches its description.

How do I install Free Youtube Video Editor in Codex?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill free-youtube-video-editor -a codex`. Or copy the skill folder (skills/free-youtube-video-editor in LeoYeAI/openclaw-master-skills) into .agents/skills/free-youtube-video-editor in your project. Codex loads it when a task matches its description.

Can I use Free Youtube Video Editor 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 LeoYeAI/openclaw-master-skills --skill free-youtube-video-editor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/free-youtube-video-editor, .gemini/skills/free-youtube-video-editor, .github/skills/free-youtube-video-editor and .opencode/skills/free-youtube-video-editor in your project.

What does Free Youtube Video Editor need to run?

Going by SKILL.md and its folder, Free Youtube Video Editor needs the command-line tools its instructions call (curl) and credentials named NEMO_TOKEN. Our summary lists: A credential in NEMO_TOKEN.

Does Free Youtube Video Editor access the network?

SKILL.md names 2 domains. In commands or code: mega-api-prod.nemovideo.ai and nemovideo.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Free Youtube Video Editor 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 Free Youtube Video Editor use?

Free Youtube Video Editor 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 Free Youtube Video Editor use?

About 4.4k tokens (SKILL.md is roughly 18k 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 Free Youtube Video Editor?

Skills that share tags, products or a category with Free Youtube Video Editor: Client Letter (anthropics/claude-for-legal, 9.6k stars), Status (anthropics/claude-for-legal, 9.6k stars), Jev Question Translator (lawve-ai/awesome-legal-skills, 847 stars) and Asd Ste100 (danyuchn/asd-ste100-skill, 4.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Free Youtube Video Editor?

LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.

Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.