Skill flagged — suspicious patterns detected

ClawHub Security flagged this skill as suspicious. Review the scan results before using.

Free Text To Video Api

v1.0.0

Turn a 50-word product description paragraph into 1080p AI-generated videos just by typing what you need. Whether it's generating videos automatically from w...

0· 89·0 current·0 all-time

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for francemichaell-15/free-text-to-video-api.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Free Text To Video Api" (francemichaell-15/free-text-to-video-api) from ClawHub.
Skill page: https://clawhub.ai/francemichaell-15/free-text-to-video-api
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Required env vars: NEMO_TOKEN
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Canonical install target

openclaw skills install francemichaell-15/free-text-to-video-api

ClawHub CLI

Package manager switcher

npx clawhub@latest install free-text-to-video-api
Security Scan
VirusTotalVirusTotal
Benign
View report →
OpenClawOpenClaw
Suspicious
medium confidence
Purpose & Capability
The skill's name/description match the runtime instructions: it talks to a remote Nemo video API and needs a NEMO_TOKEN. However the SKILL.md frontmatter advertises a config path (~/.config/nemovideo/) while the registry metadata lists no required config paths — a minor mismatch that should be clarified.
Instruction Scope
Instructions are focused on interacting with the external mega-api-prod.nemovideo.ai endpoints (session creation, SSE chat, upload, export). They require reading the skill's frontmatter and detecting the install path to set attribution headers; this is reasonable for attribution but does read local install path information. The skill will automatically obtain an anonymous token via the API if NEMO_TOKEN is not present, which means it can start sending user content to the remote service without the user supplying credentials explicitly.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest install risk; nothing is downloaded or written by an installation script.
!
Credentials
Only a single env var (NEMO_TOKEN) is declared, which is proportionate. Concern: the skill will auto-create/refresh an anonymous NEMO_TOKEN by calling the provider endpoint if none exists (tokens last 7 days, 100 free credits). This automatic credential acquisition and use may be surprising and results in user data being sent to the provider without an explicit credential from the user. Also the frontmatter's configPaths claim implies the skill may read or expect local config at ~/.config/nemovideo/.
Persistence & Privilege
always is false and there is no install-time persistence or cross-skill configuration. The skill can be invoked autonomously (default), which is expected behavior for skills.
What to consider before installing
This skill appears to do what it says (call a cloud video generation API) but it will contact an external service and can automatically obtain and use an anonymous token if you don't provide NEMO_TOKEN. Before installing: (1) be aware any text or uploaded files may be transmitted to https://mega-api-prod.nemovideo.ai and processed there; (2) if you don't want automatic token generation, provide a controlled NEMO_TOKEN or avoid installing; (3) confirm you’re comfortable with the service's privacy/terms and any billing or credit model; (4) ask the owner to clarify the mismatched configPath claim (~/.config/nemovideo/) in the SKILL.md frontmatter. If you need stronger guarantees, test with non-sensitive data and a disposable token first.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

🎬 Clawdis
EnvNEMO_TOKEN
Primary envNEMO_TOKEN
latestvk97catrzssc0v7ecbdnh5v18sd858bky
89downloads
0stars
1versions
Updated 6d ago
v1.0.0
MIT-0

Getting Started

Share your text prompts and I'll get started on AI video generation. Or just tell me what you're thinking.

Try saying:

  • "convert my text prompts"
  • "export 1080p MP4"
  • "convert this product description into a"

Quick Start Setup

This skill connects to a cloud processing backend. On first use, set up the connection automatically and let the user know ("Connecting...").

Token check: Look for NEMO_TOKEN in the environment. If found, skip to session creation. Otherwise:

  • Generate a UUID as client identifier
  • POST https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with X-Client-Id header
  • Extract data.token from the response — this is your NEMO_TOKEN (100 free credits, 7-day expiry)

Session: POST https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Keep the returned session_id for all operations.

Let the user know with a brief "Ready!" when setup is complete. Don't expose tokens or raw API output.

Free Text to Video API — Convert Text Into Generated Videos

Drop your text prompts in the chat and tell me what you need. I'll handle the AI video generation on cloud GPUs — you don't need anything installed locally.

Here's a typical use: you send a a 50-word product description paragraph, ask for convert this product description into a 30-second promotional video, and about 1-2 minutes later you've got a MP4 file ready to download. The whole thing runs at 1080p by default.

One thing worth knowing — shorter, clearer text prompts produce more accurate and focused video output.

Matching Input to Actions

User prompts referencing free text to video api, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.

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

Cloud Render Pipeline Details

Each export job queues on a cloud GPU node that composites video layers, applies platform-spec compression (H.264, up to 1080x1920), and returns a download URL within 30-90 seconds. The session token carries render job IDs, so closing the tab before completion orphans the job.

All calls go to https://mega-api-prod.nemovideo.ai. The main endpoints:

  1. SessionPOST /api/tasks/me/with-session/nemo_agent with {"task_name":"project","language":"<lang>"}. Gives you a session_id.
  2. Chat (SSE)POST /run_sse with session_id and your message in new_message.parts[0].text. Set Accept: text/event-stream. Up to 15 min.
  3. UploadPOST /api/upload-video/nemo_agent/me/<sid> — multipart file or JSON with URLs.
  4. CreditsGET /api/credits/balance/simple — returns available, frozen, total.
  5. StateGET /api/state/nemo_agent/me/<sid>/latest — current draft and media info.
  6. ExportPOST /api/render/proxy/lambda with render ID and draft JSON. Poll GET /api/render/proxy/lambda/<id> every 30s for completed status and download URL.

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

Skill attribution — read from this file's YAML frontmatter at runtime:

  • X-Skill-Source: free-text-to-video-api
  • X-Skill-Version: from frontmatter version
  • X-Skill-Platform: detect from install path (~/.clawhub/clawhub, ~/.cursor/skills/cursor, else unknown)

Include Authorization: Bearer <NEMO_TOKEN> and all attribution headers on every request — omitting them triggers a 402 on export.

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

Timeline (3 tracks): 1. Video: city timelapse (0-10s) 2. BGM: Lo-fi (0-10s, 35%) 3. Title: "Urban Dreams" (0-3s)

Translating GUI Instructions

The backend responds as if there's a visual interface. Map its instructions to API calls:

  • "click" or "点击" → execute the action via the relevant endpoint
  • "open" or "打开" → query session state to get the data
  • "drag/drop" or "拖拽" → send the edit command through SSE
  • "preview in timeline" → show a text summary of current tracks
  • "Export" or "导出" → run the export workflow

SSE Event 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

~30% of editing operations return no text in the SSE stream. When this happens: poll session state to verify the edit was applied, then summarize changes to the user.

Error Handling

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 credits in your account"
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 or upgrade your plan to unlock export."
429Rate limit (1 token/client/7 days)Retry in 30s once

Common Workflows

Quick edit: Upload → "convert this product description into a 30-second promotional video" → Download MP4. Takes 1-2 minutes for a 30-second clip.

Batch style: Upload multiple files in one session. Process them one by one with different instructions. Each gets its own render.

Iterative: Start with a rough cut, preview the result, then refine. The session keeps your timeline state so you can keep tweaking.

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "convert this product description into a 30-second promotional video" — concrete instructions get better results.

Max file size is 500MB. Stick to TXT, DOCX, JSON, CSV for the smoothest experience.

Export as MP4 for widest compatibility across platforms and players.

Comments

Loading comments...