by lisamsung · Codex Skill · ★ 99
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Featured in: Image Generation · OpenAI Codex Skills · Claude Video Editing & Remotion Skills
git clone https://github.com/lisamsung/agent-meme-forge.gitTaken from the project's README on GitHub.
None of the 43 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 43 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 99 |
| Forks | 0 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 69/100 |
| Last Updated | 2026-09-04 |
| Created | 2026-04-24 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~16k |
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
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 43 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: