by Tencent · Agent Tool · ★ 156
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 156 |
| Forks | 33 |
| Language | Rust |
| Category | Agent Tool |
| Quality Score | 68/100 |
| Last Updated | 2026-08-25 |
| Created | 2021-11-23 |
| Platforms | rust |
| Est. Tokens | ~22k |
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.
Looking for a tat-agent alternative? If you're comparing tat-agent with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
The missing linter and lsp for AI coding assistants. Validate CLAUDE.md, AGENTS.md, SKILL.md, hooks, MCP. Plug
Build App with Makepad and AI skills
Official SonarQube MCP Server for code quality and security in AI agents
Shell and coding agent on mcp clients
The open context engine for AI agents support 15+ data sources. Built on Rust and Apache DataFusion.
Think before doing, prove before saving. Vestige is the local-first cognitive operating system and determinist
Explore other popular agent tool tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: