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 gotempsh · Claude Skill · ★ 815
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is temps safe to install? View the security audit →
The open-source alternative to Vercel + Sentry + PostHog + Pingdom + Resend + E2B Deployments, analytics, session replay, error tracking, uptime monitoring, transactional email & AI sandboxes — one self-hosted binary. AI-native: 440+ CLI operations and drop-in skills for Claude Code, Codex & OpenCode. Website · Documentation · Quick Start · Discussions · Contributing English Português
| Stars | 815 |
| Forks | 69 |
| Language | Rust |
| Category | Claude Skill |
| License | Apache-2.0 |
| Quality Score | 63.0433931745123/100 |
| Open Issues | 13 |
| Last Updated | 2026-10-03 |
| Created | 2025-10-21 |
| Platforms | claude-code, cli, codex, docker, rust |
| Est. Tokens | ~27k |
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temps is AI-native open-source alternative to Vercel + Sentry + PostHog + Pingdom + Resend + E2B. 440+ CLI operations with drop-in skills for Claude Code, Codex & OpenCode — deployments, analytics, session rep. It is categorized as a Claude Skill with 815 GitHub stars.
temps is primarily written in Rust. It covers topics such as ai-agents, ai-gateway, analytics.
You can find installation instructions and usage details in the temps GitHub repository at github.com/gotempsh/temps. The project has 815 stars and 69 forks, indicating an active community.
temps is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to temps on Agent Skills Hub include clawmetry, aura, lazy-bird. 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: