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 vostride · Codex Skill · ★ 78
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is id-agent safe to install? View the security audit →
The Math · JavaScript · Python · npm · Vostride AI id-agent Token efficient IDs for AI agents. UUID alternative for the agentic era. AI agents pass IDs through prompts, tool calls, logs, traces, and memory. UUIDs are great for databases, but they are expensive in context windows and hard for humans or LLMs to copy reliably. id-agent gives you word-based IDs that are compact in modern tokenizers, readable in logs, and configurable by c
| Stars | 78 |
| Forks | 4 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 70.9837680108916/100 |
| Last Updated | 2026-06-03 |
| Created | 2026-04-10 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~25k |
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id-agent is Token efficient IDs for AI agents. UUID alternative for the agentic era.. It is categorized as a Codex Skill with 78 GitHub stars.
id-agent is primarily written in TypeScript. It covers topics such as agent, ai, ai-agent.
You can find installation instructions and usage details in the id-agent GitHub repository at github.com/vostride/id-agent. The project has 78 stars and 4 forks, indicating an active community.
id-agent is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to id-agent on Agent Skills Hub include claudex, starknet-agentic, starpod. 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: