remotion-render
69Render React Animations as MP4 Videos
Teams need reliable videos from React animation code without manual export work. This skill sends Remotion TSX to inference.sh and returns an MP4 render.
Automate Twitter/X Posts and Engagement
Manual Twitter/X posting and engagement can slow campaign work. This skill uses inference.sh CLI apps to run approved posting, media, and engagement tasks.
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "twitter-automation" from https://skillstore.io/skills/skillssh-twitter-automation.md and its manifest at https://skillstore.io/api/skills/skillssh-twitter-automation/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Using "twitter-automation". Post this approved launch message to X.
Expected outcome:
The skill prepares the tweet, asks for final approval, runs the posting app, and returns the resulting post status.
Using "twitter-automation". Share this approved caption with a hosted image URL.
Expected outcome:
The skill verifies the media URL, creates a media post through inference.sh, and reports whether the post succeeded.
Using "twitter-automation". Like and retweet these approved post IDs.
Expected outcome:
The skill lists the target IDs, waits for confirmation, runs the engagement actions, and summarizes each result.
Several external-command alerts are Markdown syntax false positives, but multiple examples intentionally run infsh commands that can post, engage, send DMs, delete posts, or install related skills. Most hardcoded URL alerts are documentation references; the remote image is a low-risk external fetch. No prompt injection or secret exfiltration evidence was found.
These are real local capabilities that may be expected for this skill, so they require review but are not counted as confirmed malicious behavior.
Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.
https://skillstore.io/skills/skillssh-twitter-automation/audits/4?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/skillssh-twitter-automation?utm_source=security_passport_badge)<a href="https://skillstore.io/skills/skillssh-twitter-automation?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/skillssh-twitter-automation/security.svg" alt="Skillstore security assessment" loading="lazy"></a><iframe src="https://skillstore.io/embed/skills/skillssh-twitter-automation.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>skillssh. (2026). twitter-automation security audit report (audit version 4) [Author version unspecified]. Skillstore. https://skillstore.io/skills/skillssh-twitter-automation/audits/4@techreport{skillssh-skillssh-twitter-automation-2026,
author = {skillssh},
title = {twitter-automation security audit report (audit version 4)},
institution = {Skillstore},
year = {2026},
number = {4},
url = {https://skillstore.io/skills/skillssh-twitter-automation/audits/4},
note = {Author version unspecified}
}cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "twitter-automation security audit report (audit version 4)"
version: "unspecified"
type: report
authors:
- name: "skillssh"
date-released: "2026-07-07"
url: "https://skillstore.io/skills/skillssh-twitter-automation/audits/4"
identifiers:
- type: other
value: "skillstore:skillssh-twitter-automation:audit:4"
description: "Skillstore immutable audit report identifier"
Each author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.
Why this variant is first
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Post prepared campaign messages or announcements to a connected Twitter/X account.
Create posts that combine approved copy with image or video URLs from generation workflows.
Like, retweet, follow, or message specified accounts when IDs and recipients are approved.
Use twitter-automation to post this approved text to X: [approved text]. Confirm the account before running the command.
Create an X post with this approved caption and media URL: [caption] [media URL]. Verify the media URL first.
Like and retweet these approved post IDs: [post IDs]. Show the IDs and ask for confirmation before action.
Generate media from this prompt, review the returned asset URL, then create an approved X post with this caption: [caption].
Author
skillsshLicense
MIT
Skillstore revision
r1
Version notice
The author did not declare a version.
Ref
f93e9bb0daca99badb6a7e574b97737155d57cb3
Maintenance freshness
7/18/2026
Usage
5 downloads ยท 102 views
File structure
๐ SKILL.md
Render React Animations as MP4 Videos
Teams need reliable videos from React animation code without manual export work. This skill sends Remotion TSX to inference.sh and returns an MP4 render.
Search and Extract Web Sources
Research tasks need current sources and clean page text. This skill routes search, answers, and extraction through Tavily and Exa apps.
Create AI Videos with Multiple Models
Choosing and invoking video models can be complex. This skill provides model guidance and belt CLI examples for generation, animation, editing, lipsync, sound, and upscaling.
Run Python Code in a Sandbox
Agents often need Python execution without managing local packages. This skill runs scripts through inference.sh with common data, web, media, and document libraries.
Run AI Apps with the inference.sh CLI
Teams need one interface for many hosted AI models and media tools. This skill helps agents discover, run, and monitor inference.sh apps from the CLI.
Automate Browser Tasks with Agent Browser
Manual web interaction slows research, testing, and data collection. This skill controls hosted browser sessions with structured navigation, actions, extraction, and visual capture.
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