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 izeigerman · Agent Tool · ★ 207
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-thermos safe to install? View the security audit →
claude-thermos Stop paying to rebuild your Claude Code cache. When your main agent waits on a subagent for more than 5 minutes, its prompt cache silently expires, and the next turn re-encodes your entire conversation at the write rate instead of reading it back cheap. On long sessions with many subagents that's roughly 20% of your bill. keeps the cache warm so you never pay that tax. Use Run Claude Code exactly as you normally would, but through with : Requires Python 3.11+ and the CLI on your . That's it. Warming runs automatically in the background. To disable it for a run without changing the command, set . Tuning (all optional): Daemon mode (shared proxy for t
| Stars | 207 |
| Forks | 9 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 64.0176398188764/100 |
| Last Updated | 2026-07-27 |
| Created | 2026-07-20 |
| Platforms | claude-code, python |
| Est. Tokens | ~15k |
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claude-thermos is Keeps your Claude session warm for you. It is categorized as a Agent Tool with 207 GitHub stars.
claude-thermos is primarily written in Python. It covers topics such as ai-agents, claude-code.
You can find installation instructions and usage details in the claude-thermos GitHub repository at github.com/izeigerman/claude-thermos. The project has 207 stars and 9 forks, indicating an active community.
claude-thermos is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to claude-thermos on Agent Skills Hub include vestige, claude-code-mastery, kindly-web-search-mcp-server. 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: