No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by aedev-tools · Agent Tool · ★ 91
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is adobe-agent-skills safe to install? View the security audit →
Adobe Suite Skills AI agent skills for creative tools. Start with After Effects automation — describe what you want in natural language, and Claude Code (or other agents) will generate and execute the code for you. Built by aedev.tools What it does Reads your project — understands your comps, layers, properties, keyframes, and expressions Generates and runs ExtendScript — you describe what you want, it writes and executes the code Covers the full AE workflow — layers, keyframes, expressions, effects, compositions, assets, and rendering Always undoable — every action wraps in an undo group, Cmd+Z always works Example prompts Setup Install the skill: Enable scripting in After Effec
| Stars | 91 |
| Forks | 6 |
| Language | JavaScript |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 68.8510662339074/100 |
| Open Issues | 1 |
| Last Updated | 2026-03-02 |
| Created | 2026-02-03 |
| Platforms | node |
| Est. Tokens | ~140k |
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adobe-agent-skills is AI agent skills for Adobe After Effects automation — describe what you want, and we'll generate and execute the code.. It is categorized as a Agent Tool with 91 GitHub stars.
adobe-agent-skills is primarily written in JavaScript.
You can find installation instructions and usage details in the adobe-agent-skills GitHub repository at github.com/aedev-tools/adobe-agent-skills. The project has 91 stars and 6 forks, indicating an active community.
adobe-agent-skills is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to adobe-agent-skills on Agent Skills Hub include tutor-skills, repren. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: