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 gradion-ai · Agent Tool · ★ 129
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is freeact safe to install? View the security audit →
freeact General-purpose AI agent that acts via code actions through a unified execution interface. Overview Freeact is a lightweight, general-purpose agent that acts via code actions in a stateful execution environment provided by ipybox. A unified execution interface allows code actions to contain any combination of Python code, shell commands, and programmatic MCP tool calls, generated in one LLM inference pass. For programmatic MCP tool calling ("c
| Stars | 129 |
| Forks | 9 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 64.2306716625484/100 |
| Open Issues | 4 |
| Last Updated | 2026-07-22 |
| Created | 2024-12-06 |
| Platforms | cli, python |
| Est. Tokens | ~3488k |
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freeact is Agent harness and CLI tool that acts and self-improves via code actions. It is categorized as a Agent Tool with 129 GitHub stars.
freeact is primarily written in Python. It covers topics such as ai-agent, code-act, code-action.
You can find installation instructions and usage details in the freeact GitHub repository at github.com/gradion-ai/freeact. The project has 129 stars and 9 forks, indicating an active community.
freeact is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to freeact on Agent Skills Hub include Overture, haiku.rag, kody. 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: