Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Chenruishuo · Agent Tool · ★ 408
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🔒 Is posterly safe to install? View the security audit →
Build academic conference posters as a single HTML/CSS file,rendered to print-ready PDF via headless Chromium. This is a coding-agent skill, not a hosted service. Clone, install, and either invoke from your agent or call the CLIs directly. There is no cloud, no signup, no telemetry. [!NOTE] Built with Claude, works with Codex too. posterly is developed primarily with Claude (Opus 4.7 / 4.8), but in testing Codex (GPT-5.5) drives it just as well — and any coding agent with skill support should be fine. Hit a snag? A ⭐ and an issue are always welcome! A poster in is one HTML file styled for an exact print canvas. The skill ships three neutral templates, four sanity-check CLIs, and a render pipeline that produces a PDF at exact ICML / NeurIPS / ICLR / CVPR dimensions. Inside your agent, walks you through venue lookup → template pick → content fill → render — see for t
| Stars | 408 |
| Forks | 10 |
| Language | Python |
| Category | Agent Tool |
| License | AGPL-3.0 |
| Quality Score | 57.6878135873999/100 |
| Last Updated | 2026-09-20 |
| Created | 2026-05-30 |
| Platforms | python |
| Est. Tokens | ~16k |
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posterly is Build academic conference posters as a single HTML/CSS file, rendered to print-ready PDF via headless Chromium. A coding-agent skill.. It is categorized as a Agent Tool with 408 GitHub stars.
posterly is primarily written in Python.
You can find installation instructions and usage details in the posterly GitHub repository at github.com/Chenruishuo/posterly. The project has 408 stars and 10 forks, indicating an active community.
posterly is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to posterly on Agent Skills Hub include skills, awesome-android-agent-skills, agent-skills. 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.
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