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 diegosouzapw · Claude Skill · ★ 129
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is OmniGlyph safe to install? View the security audit →
🖼️ OmniGlyph — Context as Image Cut your Claude bill by 59–70% by rendering bulky context as dense PNG pages — the same content, in a fraction of the tokens. Models bill text per token, but bill an image by its dimensions — not by how much text is inside it. Part of
| Stars | 129 |
| Forks | 23 |
| Language | TypeScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 60.4342456814099/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-22 |
| Created | 2026-07-06 |
| Platforms | claude-code, cli, gemini, node |
| Est. Tokens | ~19k |
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OmniGlyph is Cut your Claude bill 59–70% by rendering bulky LLM context as dense PNG pages — 100% read accuracy, exact per-provider billing math (Anthropic/OpenAI/Gemini), fail-closed gates, measured benchmarks. C. It is categorized as a Claude Skill with 129 GitHub stars.
OmniGlyph is primarily written in TypeScript. It covers topics such as anthropic, claude, claude-code.
You can find installation instructions and usage details in the OmniGlyph GitHub repository at github.com/diegosouzapw/OmniGlyph. The project has 129 stars and 23 forks, indicating an active community.
OmniGlyph is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to OmniGlyph on Agent Skills Hub include NadirClaw, github-copilot-api-vscode, reverse-check. 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: