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 Tencent · Agent Tool · ★ 156
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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TAT Agent 简体中文 | English TencentCloud Automation Tools (TAT) is a native operations and maintenance deployment tool for cloud servers. TAT provides an automated way to directly manage instances and batch execute commands such as Shell, Powershell, Batch, etc. to easily complete common management tasks such as running automation scripts, polling processes, installing or uninstalling software, updating applications and installing patches. For more information, please visit . Environment & Tools Rust toolchain ≥ 1.82 (Installation Guide) Platform-specific requirements: Compile Run the following command to compile: Linux Windows (use cmd.exe) Install After successful compilation, run the following command: Linux Windows Supported OS Binary can run at both Linux & Windows Distributions, including but not limited to: Tencent Linux CentOS Ubuntu Debian openSUSE CoreOS
| Stars | 156 |
| Forks | 33 |
| Language | Rust |
| Category | Agent Tool |
| Quality Score | 68.3877221617792/100 |
| Last Updated | 2026-08-25 |
| Created | 2021-11-23 |
| Platforms | rust |
| Est. Tokens | ~22k |
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tat-agent is TAT agent is an agent written in Rust, which run in CVM, Lighthouse or CPM 2.0 instances. Its role is to run commands remotely without ssh login, invoked from TencentCloud Console/API. Commands includ. It is categorized as a Agent Tool with 156 GitHub stars.
tat-agent is primarily written in Rust. It covers topics such as agent, rust, tat.
You can find installation instructions and usage details in the tat-agent GitHub repository at github.com/Tencent/tat-agent. The project has 156 stars and 33 forks, indicating an active community.
The top alternatives to tat-agent on Agent Skills Hub include agnix, makepad-skills, wcgw. 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: