cinetic
Cinematic launch films and motion design from code, directed by your coding agent.
No outside reports on file
This tool gives coding agents direct control over resource-intensive video generation and file system operations, which could be abused for denial-of-service attacks or unauthorized data access if an AI follows malicious instructions.
Based on public adoption and transparency signals as of Oct 25, 2026. Our opinion, not a code audit or security guarantee.
What it can access
- Local filesNo local folder access notedLOW
- Command executionNo shell command runner notedLOW
- Network reachConnects to outside service APINOTED
- CredentialsNo API token requiredLOW
- Package sourceGitHub (Leonxlnx/cinetic)PUBLIC
Inferred from this listing’s public package details and description. Check the project’s source before installing.
Install
No npm or PyPI package is listed. Install from source: github.com/Leonxlnx/cinetic ↗
Everything known
We found nothing about this project in the sources we read (last checked 2026-10-30). That does not mean it has no problems.
0 incidents · 0 advisories · 0 news articles · 0 community threads · checked 2026-10-30
Popularity grade: C (from public signals such as stars and downloads, not a code review). Graded 2026-10-25.
Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-30.
About Cinetic
Cinetic is a tool that lets coding agents create animated films and motion graphics directly from code. It appears to bridge programming with video production, allowing automated generation of cinematic content based on code instructions.
Who it’s for
Developers and AI agents looking to programmatically generate animations or motion design without manual video editing. Teams that want to automate video creation as part of an AI workflow.
Alternatives
- Remotion: JavaScript framework for creating videos programmatically (more established, better supported)
- FFmpeg: Command-line tool for video encoding and manipulation (lower-level, requires more setup)
- OpenAI or third-party video APIs: Hosted services that generate video without agent code execution
- GStreamer: Multimedia framework for building video pipelines with plugins
Setup
Check these steps against the project’s own instructions before running anything.
Follow the project's README. The GitHub repository should have installation instructions; the project does not appear to have mainstream npm distribution based on available signals.
Why this grade
Signal-based grade (3/7 points): well starred on GitHub, public source code. This reflects adoption and transparency, not a code review.
Popularity and upkeep
- GitHub stars
- 924
- Listing last refreshed
- 2026-10-30
These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.
Risks to watch for
- Unverified code execution: An AI agent instructed to use this tool could execute arbitrary code that generates video files, potentially consuming significant server resources or storage
- File system access: The tool likely needs to read project files and write video output, giving it broad access to the file system
- Misleading instructions in code: An attacker could hide malicious video generation logic in seemingly innocent animation code that an AI agent processes
- Resource exhaustion: A single command could trigger expensive video rendering operations that drain CPU, memory, or disk space
- Dependency chain risks: Third-party video encoding libraries or animation frameworks it depends on could contain vulnerabilities
How to lower the risk
Least-privilege permissions
- Run the agent with a dedicated user account that cannot access sensitive data
- Restrict file system access to a single output directory for videos only
Network isolation
- Disable internet access while the agent runs video generation tasks
- Use a sandbox or container to prevent lateral movement to other services
Monitoring
- Log all video generation commands and file outputs created by the agent
- Alert on unusually large files or frequent rendering requests that could indicate abuse
Red flags to watch for
- Requests to generate videos with extremely long durations or high resolutions
- AI commands that reference files outside the designated output directory
- Repeated failed rendering attempts that could indicate resource exhaustion attacks
Questions
How do I install Cinetic?
Cinetic does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/Leonxlnx/cinetic.
Are there security reports about Cinetic?
No reports found for this package in our research (last checked 2026-10-30). Cinetic currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include unverified code execution, file system access, misleading instructions in code.
Is Cinetic actively maintained?
Cinetic has 924 GitHub stars. Our directory data was last refreshed on 2026-10-30. Check recent commit activity, release tags, and open issues at github.com/Leonxlnx/cinetic before pinning it in production.
What are alternatives to Cinetic?
Notable alternatives to Cinetic include Remotion (JavaScript framework for creating videos programmatically (more established, better supported)), FFmpeg (Command-line tool for video encoding and manipulation (lower-level, requires more setup)), OpenAI or third-party video APIs (Hosted services that generate video without agent code execution), GStreamer (Multimedia framework for building video pipelines with plugins). You can also compare Cinetic side by side with other skills in the Related tools section on this page.
README badge and team notes
Maintain or use Cinetic? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.
GitHub README Markdown:
[](https://agentarmorhq.com/skills/leonxlnx-cinetic)HTML embed:
<a href="https://agentarmorhq.com/skills/leonxlnx-cinetic"><img src="https://agentarmorhq.com/api/badge/leonxlnx-cinetic" alt="AgentArmorHQ Risk Grade for Cinetic" height="20" /></a>Terminal check:
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "leonxlnx-cinetic"Share with your security lead
Need sign-off to use cinetic? Copy this note for Slack, a ticket or a pull request.
### AgentArmorHQ Security Review Memo: cinetic
- **Listing URL:** https://agentarmorhq.com/skills/leonxlnx-cinetic
- **Type:** AI agent skill
- **Risk Grade:** Grade C (Moderate risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 924 GitHub stars
#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** No shell command runner noted
- **Network reach:** Connects to outside service API
- **Credentials:** No API token required
- **Package source:** GitHub (Leonxlnx/cinetic)
#### Recommended Hardened Setup
- **Source Repo:** https://github.com/Leonxlnx/cinetic
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.
_Based on public adoption and transparency signals as of Oct 25, 2026. Our opinion, not a code audit or security guarantee._Key facts
- Type
- AI agent skill
- Publisher
- Leonxlnx
- Source code
- github.com/Leonxlnx/cinetic
- Est. context load
- ~50 tokens idle · ~450 tokens when active (on-demand skill)
- Popularity
- 924 GitHub stars
- Last updated
- 2026-10-30
- Last graded
- 2026-10-25
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