Agent skill

Medeo Video

by LeoYeAI in LeoYeAI/openclaw-master-skills

AI-powered video generation skill. An agent skill from LeoYeAI/openclaw-master-skills.

MITAuto-check passedMedia & Creative

Install Medeo Video

skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill medeo-video -a claude-code

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

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills medeo-video --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/medeo-video .claude/skills/medeo-video && 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
medeo-video
GitHub stars
2.2k
Token cost
~4.4k tokens
SKILL.md length
1,501 words
Files
12 (incl. scripts)
Skills in repo
1,235
Repo updated
First seen
Licence
MIT

At a glance

AI-powered video generation skill. An agent skill from LeoYeAI/openclaw-master-skills.

  • Works in 12 steps: Pre-Flight Check (MANDATORY — run before… → First-Time Setup → Generate a Video (5-30 min, always async) → …
  • The user wants to generate videos from text descriptions
  • SKILL.md covers 0. Pre-Flight Check (MANDATORY…, 1. First-Time Setup, 2. Generate a Video (5-30 min,… and 3. Upload Assets, plus 8 more sections
  • Runs Python scripts from its folder; calls python3 and curl; reaches medeo.app and oss.prd.medeo.app; needs TELEGRAM_BOT_TOKEN and DISCORD_BOT_TOKEN

What it does

Medeo Video is an agent skill from LeoYeAI/openclaw-master-skills. AI-powered video generation skill. Use when the user wants to generate videos from text descriptions, browse video recipes, upload assets, or manage video creation workflows.

Its SKILL.md is about 4.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including scripts (for example `README.md`, `_meta.json` and `docs/assets-upload.md`).

It sits in Media & Creative, covering AI video generation. 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

  • The user wants to generate videos from text descriptions
  • Browse video recipes
  • Manage video creation workflows

Example prompts

  • “/medeo-video”

Requirements

  • Python 3
  • A credential in MEDEO_API_KEY
  • A credential in TELEGRAM_BOT_TOKEN

Workflow steps

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

  1. Pre-Flight Check (MANDATORY — run before anything else)
  2. First-Time Setup
  3. Generate a Video (5-30 min, always async)
  4. Upload Assets
  5. Low-Level Pipeline Commands (agent internal — never expose to users)
  6. Browse Recipes
  7. Quick Commands Reference (for agent, not user-facing)
  8. Key Rules
  9. Error Handling
  10. Reference Docs
  11. Data Storage
  12. Security Notes

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

    Ships 3 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3
    • 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:

    • medeo.app
    • oss.prd.medeo.app
    • open.feishu.cn
    • cdn.discordapp.com

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

  • Credentials

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

    • TELEGRAM_BOT_TOKEN
    • DISCORD_BOT_TOKEN
    • MEDEO_API_KEY
    • FEISHU_APP_TOKEN

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

Context cost

Medeo Video loads about 4.4k tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 1,501 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~47
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); the scripts in this folder are not scanned.

SKILL.md

The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 1,501 words, ~4,405 tokens.

Download SKILL.mdSave it as .claude/skills/medeo-video/SKILL.md (or your agent's skills folder). This skill also uses 11 other files; get the full folder from GitHub.
name
medeo-video
description
AI-powered video generation skill. Use when the user wants to generate videos from text descriptions, browse video recipes, upload assets, or manage video creation workflows.
version
1.5.0

Medeo Video Generator Skill

Generate AI videos from text. Medeo is an AI video agent that handles full storylines, multi-scene narratives, and screenplays in a single call — shot composition, transitions, pacing, and music are all automatic.

⚠️ Do NOT split stories into multiple calls. Pass the entire screenplay in one --message.

0. Pre-Flight Check (MANDATORY — run before anything else)

Before running any command, check if API key is configured:

bash
python3 {baseDir}/scripts/medeo_video.py config 2>/dev/null | python3 -c "import sys,json; d=json.load(sys.stdin); print('ok' if d.get('apiKey') else 'missing')"
  • Output ok → proceed normally
  • Output missing (or command fails) → stop immediately, do NOT run any other commands. Send the setup message using the channel-appropriate method:

Feishu — use Feishu API directly (NOT message tool — it won't render cards):

python
import json, urllib.request
cfg = json.loads(open("/home/ec2-user/.openclaw/openclaw.json").read())
feishu = cfg["channels"]["feishu"]["accounts"]["default"]
token = json.loads(urllib.request.urlopen(urllib.request.Request(
    "https://open.feishu.cn/open-apis/auth/v3/tenant_access_token/internal",
    data=json.dumps({"app_id": feishu["appId"], "app_secret": feishu["appSecret"]}).encode(),
    headers={"Content-Type": "application/json"}
)).read())["tenant_access_token"]
card = {
    "config": {"wide_screen_mode": True},
    "header": {"title": {"tag": "plain_text", "content": "🎬 Video Generation — API Key Required"}, "template": "blue"},
    "elements": [{"tag": "div", "text": {"tag": "lark_md", "content": "You need a **Medeo API Key** to generate videos.\n\n**Steps:**\n1. Go to https://medeo.app/dev/apikey\n   - No account? You'll be guided to sign up. The key appears after login.\n2. Copy the key (starts with `mk_`) and send it back to me.\n\nOnce I have it, I'll configure everything for you."}}],
}
urllib.request.urlopen(urllib.request.Request(
    "https://open.feishu.cn/open-apis/im/v1/messages?receive_id_type=open_id",
    data=json.dumps({"receive_id": "<USER_OPEN_ID>", "msg_type": "interactive", "content": json.dumps(card)}).encode(),
    headers={"Authorization": f"Bearer {token}", "Content-Type": "application/json"}
))

Telegram / Discord / Other channels — send plain text via message tool (these channels support markdown natively):

🎬 Video Generation — API Key Required

Steps:
1. Go to https://medeo.app/dev/apikey (sign up if needed — the key appears after login)
2. Copy the key (starts with mk_) and send it back to me

Once I have it, I'll configure everything for you.

Once they provide the key: python3 {baseDir}/scripts/medeo_video.py config-init --api-key "mk_..."

1. First-Time Setup

If no API Key is configured, the script outputs "setup_required": true.

  1. Send the user this exact link: https://medeo.app/dev/apikey (this page auto-prompts registration if not logged in, then shows the API key)
  2. Once they provide the key: python3 {baseDir}/scripts/medeo_video.py config-init --api-key "mk_..."

2. Generate a Video (5-30 min, always async)

Users only need to know 3 ways to generate a video:

  1. Send text → generate video
  2. Send text + upload image → generate video using their image
  3. Send text + image URL → generate video using the URL image

The agent handles everything else silently.

IMPORTANT: Before spawning the generation task, immediately reply to the user with an acknowledgment like: "🎬 Starting video generation — I'll send you the result in about 5–10 minutes." Do NOT wait in silence. The user should know their request was received.

Usage 1: Text only
bash
python3 {baseDir}/scripts/medeo_video.py spawn-task \
  --message "user's video description" \
  --deliver-to "oc_xxx" \
  --deliver-channel "feishu"
Usage 2: Text + uploaded image (user sends image in chat)
bash
# First: upload-file to get media_id (see Section 3)
python3 {baseDir}/scripts/medeo_video.py spawn-task \
  --message "user's video description" \
  --media-ids "media_01..." \
  --asset-sources my_uploaded_assets \
  --deliver-to "oc_xxx" \
  --deliver-channel "feishu"
Usage 3: Text + image URL
bash
python3 {baseDir}/scripts/medeo_video.py spawn-task \
  --message "user's video description" \
  --media-urls "https://example.com/photo.jpg" \
  --asset-sources my_uploaded_assets \
  --deliver-to "oc_xxx" \
  --deliver-channel "feishu"

Agent auto-behavior: When the user provides images (Usage 2 or 3), always pass --asset-sources my_uploaded_assets so Medeo uses their images instead of generating new ones. The user does not need to know this flag exists.

Internal Parameters (agent use only — never expose to users)

These are handled automatically by the agent. Do NOT mention them to users or ask users to provide them.

FlagWhen to useDefault behavior
--voice-id "voice_01..."When a specific voice is neededMedeo picks automatically
--video-style-id "style_01..."When a specific visual style is neededMedeo picks automatically
--asset-sourcesWhen user provides images: pass my_uploaded_assetsMedeo decides
--recipe-id "recipe_01..."When using a templateNone
--aspect-ratio "9:16"When user specifies portrait/landscape16:9
--duration-ms 30000When user specifies durationMedeo decides
--no-renderDebug only — skip renderingAlways render
Delivery Target (--deliver-to)

This is critical — determines where the generated video gets sent.

Context--deliver-to valueExample
Feishu group chatThe group's chat_id (starts with oc_). Extract from inbound metadata conversation_label or chat_id — strip the chat: prefix if present (e.g. chat:oc_xxx → oc_xxx)oc_158fd3e54407cbe170697c6c954bd4f2
Feishu private chatThe user's open_id (starts with ou_). Extract from inbound metadata sender_id — strip the user: prefix if presentou_f7f458f4d7b4ff49ec1b8de22a1e3206
TelegramThe chat_id from the inbound message context-1001234567890
DiscordThe channel_id from the inbound message context1234567890123456

How to determine group vs private on Feishu:

  • Check is_group_chat in the inbound metadata
  • If true → use conversation_label / chat_id (the oc_ value)
  • If false → use sender_id (the ou_ value)

Step 2: Use sessions_spawn with the returned args (label: "medeo: <brief>", runTimeoutSeconds: 2400). Step 3: Tell user it's generating. Sub-agent auto-announces when done.

3. Upload Assets

3a. From URL (image already has a public URL)
bash
python3 {baseDir}/scripts/medeo_video.py upload \
  --url "https://example.com/photo.jpg" \
  --project-id "project_01..."          # optional: associate media with existing project
  --no-wait                             # optional: return job_id immediately without polling
3b. From IM attachment (user sends image directly) ← NEW

Use upload-file when the user sends an image via Telegram, Discord, Feishu, or as a local file. This uses the direct upload API (prepare → S3 presigned PUT → register) instead of URL-based upload.

Trigger: Only when the user explicitly requests video generation AND sends an image attachment in the same message (e.g. "make a video with this photo"). Do NOT auto-upload on every image message — other skills or conversations may involve images unrelated to video generation.

bash
# From local file (downloaded by OpenClaw from attachment)
python3 {baseDir}/scripts/medeo_video.py upload-file \
  --file /tmp/user_photo.jpg

# From direct URL (Discord CDN, etc.)
python3 {baseDir}/scripts/medeo_video.py upload-file \
  --url "https://cdn.discordapp.com/attachments/..."

# From Telegram (file_id from message.photo[-1].file_id)
# TELEGRAM_BOT_TOKEN must be set as env var — never pass as CLI arg (ps aux leaks it)
TELEGRAM_BOT_TOKEN="$TELEGRAM_BOT_TOKEN" python3 {baseDir}/scripts/medeo_video.py upload-file \
  --telegram-file-id "AgACAgIAAxk..."

# From Feishu (message_id + image_key from message content)
python3 {baseDir}/scripts/medeo_video.py upload-file \
  --feishu-message-id "om_xxx" \
  --feishu-image-key "img_v3_xxx" \
  --feishu-app-token "$FEISHU_APP_TOKEN"

Output: {"media_id": "media_01...", "filename": "photo.jpg"}

Then pass media_id to generation:

bash
python3 {baseDir}/scripts/medeo_video.py spawn-task \
  --message "Create a video featuring this person" \
  --media-ids "media_01..."
Platform-Specific Image Extraction Guide
PlatformHow to get image sourceupload-file arg
Telegrammessage.photo[-1].file_id--telegram-file-id
Discordmessage.attachments[0].url (public CDN URL)--url
Feishumessage_id + image_key from message content JSON--feishu-message-id + --feishu-image-key
WhatsAppDownload attachment binary → save to /tmp--file
Generic URLAny direct image URL--url

Note: Discord attachment URLs are public CDN links — --url works directly. All other platforms require authentication to download.

3c. Inline in generate pipeline
bash
# URL-based (existing behavior)
python3 {baseDir}/scripts/medeo_video.py spawn-task \
  --message "Product showcase for this sneaker" \
  --media-urls "https://example.com/front.jpg" "https://example.com/side.jpg"

Supports .jpg, .png, .webp, .mp4, .mov, .gif. Higher resolution + multiple angles = better results.

3d. Check Upload Status

After upload or upload-file, if you need to check the upload job:

bash
python3 {baseDir}/scripts/medeo_video.py upload-status --job-id "job_01..."

Returns media status (processing, completed, failed) and media_id once done.

4. Low-Level Pipeline Commands (agent internal — never expose to users)

These are for agent debugging or manual intervention only. Users should never see these commands.

Pipeline flow:
  spawn-task (recommended, async)
      └── generate (blocking, same pipeline)
              ├── upload (if --media-urls)
              ├── compose → compose-status (poll)
              └── render → render-status (poll)
CommandWhat it doesKey args
generateBlocking full pipeline (upload→compose→render)Same as spawn-task minus deliver flags
composeCreate project only (no render)--message, --media-ids, --recipe-id
compose-statusPoll compose task--task-id "task_01..."
renderRender existing project--project-id "project_01..."
render-statusPoll render job--job-id "render_01..."
upload-statusPoll upload job--job-id "job_01..."

All commands support --no-wait to return immediately without polling.

5. Browse Recipes

bash
python3 {baseDir}/scripts/medeo_video.py recipes              # list templates
python3 {baseDir}/scripts/medeo_video.py recipes --cursor <c>  # paginate

Use in generation: --recipe-id "recipe_01...". See docs/recipes.md.

Show full SKILL.md (644 more words)Show less

6. Quick Commands Reference (for agent, not user-facing)

CommandDescriptionUser-visible?
recipesList video templatesYes — "what templates are available?"
last-jobLatest job statusYes — "is my last video done?"
historyJob history (last 50)Yes — "show my video history"
configShow current configurationNo
config-init --api-key "mk_..."Initialize API keyOnly during setup
upload --url "URL"Upload from public URLNo (agent internal)
upload-file --file PATHUpload from local fileNo (agent internal)
upload-file --url "URL"Download URL → uploadNo (agent internal)
upload-file --telegram-file-id "..."Upload Telegram attachmentNo (agent internal)
upload-file --feishu-image-key "..."Upload Feishu attachmentNo (agent internal)
upload-status --job-id "..."Check upload job statusNo (agent internal)
compose-status --task-id "..."Check compose task progressNo (agent internal)
render-status --job-id "..."Check render job progressNo (agent internal)

7. Key Rules

  1. Always async — spawn-task + sessions_spawn for generation
  2. One call for stories — full storylines in one --message, never split
  3. Insufficient credits — share recharge link from error output
  4. IM image upload — Only upload images when the user explicitly asks for video generation with that image. Do NOT auto-upload every image message (user may have other skills installed). When triggered: run upload-file first → get media_id → pass to generation via --media-ids. Never ask the user for a URL if they already sent the image.
  5. IM-native delivery — After generation, deliver the video using the IM channel's native method (not just a URL). Each channel has a dedicated delivery script:
    • Feishu: python3 {baseDir}/scripts/feishu_send_video.py --video /tmp/result.mp4 --to "oc_xxx_or_ou_xxx" --cover-url "<thumbnail_url>" --duration <ms> (use oc_ chat_id for group chats, ou_ open_id for private chats; chat:oc_xxx and user:ou_xxx prefixed forms are also accepted)
    • Telegram: Download video, then send via telegram_send_video.py (token from env only):
      bash
      curl -sL -o /tmp/medeo_result.mp4 "<video_url>"
      TELEGRAM_BOT_TOKEN="$TELEGRAM_BOT_TOKEN" python3 {baseDir}/scripts/telegram_send_video.py \
        --video /tmp/medeo_result.mp4 \
        --to "<chat_id>" \
        --cover-url "<thumbnail_url>" \
        --duration <seconds> \
        --caption "🎬 Video ready!"
    • Discord: Use the message tool directly — download the video to /tmp/result.mp4 via curl -sL -o /tmp/result.mp4 "<video_url>", then call message(action="send", channel="discord", target="<channel_id>", message="🎬 Video ready!", filePath="/tmp/result.mp4"). For files >25 MB, send video_url as a plain link instead.
    • WhatsApp / Signal / Other: Use the message tool with media parameter, or share video_url as a link if native sending is unavailable.
    • Cover image URL: The generate output JSON includes thumbnail_url — the API always returns this field. Constructed as {ossBaseUrl}/{thumbnail_relative_path} (e.g. https://oss.prd.medeo.app/assets/medias/media_xxx.png).
    • Video URL: Same pattern — {ossBaseUrl}/{video_relative_path} (e.g. https://oss.prd.medeo.app/exported_video/v_xxx).
    • Security: Never pass bot tokens as CLI args (visible in ps). Always use env vars: TELEGRAM_BOT_TOKEN, DISCORD_BOT_TOKEN.
  6. Timeline completion — Medeo's backend is an AI agent. Generated images/videos must be added to the Timeline to trigger task completion and rendering. Always append to your prompt: "Add the generated video/image to the Timeline."

8. Error Handling

ErrorAction
setup_required: trueGuide user to register + configure key
upload_prep_rejectedFile format/size rejected; check supported formats
s3_put_failedS3 upload error; retry once
Insufficient creditsShare recharge link from error output, retry after top-up
Compose/render timeoutInform user, suggest retry. Complex scripts may take 15+ min
401/403Key may be invalid or expired, ask user to regenerate
Upload 404Some image hosts block server-side fetch; use upload-file --url to download first

9. Reference Docs

  • docs/recipes.md — Full recipe browsing and pagination
  • docs/assets-upload.md — All upload paths (URL, local file, IM attachments), platform-specific guides, upload vs upload-file comparison
  • docs/feishu-send.md — Sending generated video via Feishu (cover image, duration, compression)
  • docs/multi-platform.md — Multi-platform video delivery (Feishu, Telegram, Discord, WhatsApp)

10. Data Storage

All data in ~/.openclaw/workspace/medeo-video/: config.json (API key), last_job.json (latest job), history/ (last 50 jobs).

11. Security Notes

  • API key resolution: env var MEDEO_API_KEY → config.json → built-in defaults. No legacy system-level files are read.
  • Feishu delivery: feishu_send_video.py reads appId + appSecret from local ~/.openclaw/openclaw.json to call Feishu Open API. Credentials stay local and are never transmitted beyond the Feishu API.
  • Telegram delivery: Bot token is read from TELEGRAM_BOT_TOKEN env var only (never CLI args).
  • No secrets in skill directory: config.json lives in the runtime data directory (~/.openclaw/workspace/medeo-video/), not in the skill source directory.

© 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 11 other files (scripts) in skills/medeo-video of LeoYeAI/openclaw-master-skills.

  • SKILL.md
  • README.md
  • _meta.json
  • docs/assets-upload.md
  • docs/feishu-send.md
  • docs/multi-platform.md
  • docs/recipes.md
  • requirements.txt
  • scripts/feishu_send_video.py
  • scripts/medeo_video.py
  • scripts/telegram_send_video.py
  • skill.json

Open the folder on GitHubat commit e5199b5

Compare with similar skills

Medeo Video 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.

Medeo Video compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Medeo Video this skillLeoYeAI/openclaw-master-skills2.2k—~4.4kAutomated safety check: PassMIT
Video Generationbytedance/deer-flow84k3 repos~1.4kAutomated safety check: PassMIT
Video Cover Imageitwanger/toBeBetterJavaer18k—~3.3kAutomated safety check: PassNone
Seedancesongguoxs/seedance-prompt-skill2.9k1 repos~2.5kAutomated safety check: PassNone
HyperFrames Video Entry Pointheygen-com/hyperframes60k3 repos~5.2kAutomated safety check: PassApache-2.0
Lanshu Create AI Presenter Videocclank/lanshu-create-ai-presenter-video2.6k—~3.6kAutomated safety check: PassMIT

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    Auto-check: notes
  • HealthFit Health Advisors

    LeoYeAI/openclaw-master-skills

    Runs four advisor roles, a fitness coach, nutritionist, data analyst and TCM practitioner, to build a health profile and track workouts, diet and wellness over time.

    2.2k GitHub stars~4.4k tokensUpdated 2 mo ago
    Auto-check passed

Questions about Medeo Video

What does Medeo Video do?

AI-powered video generation skill. An agent skill from LeoYeAI/openclaw-master-skills. Medeo Video is an agent skill from LeoYeAI/openclaw-master-skills. AI-powered video generation skill.

When should I use Medeo Video?

Medeo Video fits situations like: the user wants to generate videos from text descriptions; browse video recipes; manage video creation workflows.

How do I install Medeo Video in Claude Code?

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

How do I install Medeo Video in Codex?

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

Can I use Medeo Video 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 medeo-video -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/medeo-video, .gemini/skills/medeo-video, .github/skills/medeo-video and .opencode/skills/medeo-video in your project.

What does Medeo Video need to run?

Going by SKILL.md and its folder, Medeo Video needs Python for the scripts in its folder, the command-line tools its instructions call (python3 and curl) and credentials named TELEGRAM_BOT_TOKEN, DISCORD_BOT_TOKEN, MEDEO_API_KEY and FEISHU_APP_TOKEN. Our summary lists: Python 3; A credential in MEDEO_API_KEY; A credential in TELEGRAM_BOT_TOKEN.

Does Medeo Video access the network?

SKILL.md names 4 domains. In commands or code: medeo.app, oss.prd.medeo.app, open.feishu.cn and cdn.discordapp.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Medeo Video 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Medeo Video use?

Medeo Video 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 Medeo Video 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 Medeo Video?

Skills that share tags, products or a category with Medeo Video: Video Generation (bytedance/deer-flow, 84k stars), Video Cover Image (itwanger/toBeBetterJavaer, 18k stars), Seedance (songguoxs/seedance-prompt-skill, 2.9k stars) and HyperFrames Video Entry Point (heygen-com/hyperframes, 60k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Medeo Video?

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.