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 lisamsung · Codex Skill · ★ 104
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agent-meme-forge safe to install? View the security audit →
agent-meme-forge 没人用的表情包就是垃圾。 A Codex skill that turns one reference image — or a text concept — into a WeChat-ready animated Chinese sticker pack that people will actually send. Three stickers from a 24-pack for 法律硕士毕业求职人: HR-read silence, summoning an offer, and giving up to sleep. All produced from clean 4-keypose sheets and rendered locally to 16-frame 240×240 GIFs. Why thi
| Stars | 104 |
| Forks | 0 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 68.8129159071017/100 |
| Last Updated | 2026-09-04 |
| Created | 2026-04-24 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~16k |
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agent-meme-forge is Codex skill that turns one image or text concept into a WeChat-ready Chinese sticker pack people will actually send. Sendability-gated, 4-keypose → 16-frame, no model-drawn text.. It is categorized as a Codex Skill with 104 GitHub stars.
agent-meme-forge is primarily written in Python. It covers topics such as ai-agent, animated-gif, chinese-stickers.
You can find installation instructions and usage details in the agent-meme-forge GitHub repository at github.com/lisamsung/agent-meme-forge. The project has 104 stars and 0 forks, indicating an active community.
agent-meme-forge is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agent-meme-forge on Agent Skills Hub include chibi, claude-context-local, comfy-pilot. 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: