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 hwfengcs · MCP Server · ★ 151
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is DM-Code-Agent safe to install? View the security audit →
DM-Code-Agent 本地优先、可审计、有算法骨架的 Python Code Agent 中文 Français 一句话：DM-Code-Agent 是一个把 ReAct + Planner + Replan + Trace 写在 1500 行可读 Python 里的代码维护 Agent；v2 已落地默认关闭的 Reflexion / Critic / Self-Consistency / Adaptive Replan 模块，并接入 SWE-bench Lite Tier-1 评测链路。 它不是要做又一个聊天黑盒，而是要做一个开发者能看懂、能复现、能扩展、能拿来对比研究的 Code Agent baseline。 Why this project 可审计 (Auditable)：每一步的计划、工具调用、观察结果都写入 JSONL trace，trace 自带 dry replay、显式 tool replay 和离线 diff，调试不靠"再问一次模型"。 可对标 (Benchmarked)：项目自带 coding 与 maintenance 两套 hidden-test benchmark，并已发布 SWE-bench Lite DeepSeek Tier-1 baseline：0.0% resolved / 72.0% patch-applied on the fixed 50-instance subset。这个 Tier-1 数字受 host verifier 环境噪声影响，不能和官方 l
| Stars | 151 |
| Forks | 15 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 63.2665042616416/100 |
| Open Issues | 2 |
| Last Updated | 2026-08-27 |
| Created | 2025-09-30 |
| Platforms | mcp, python |
| Est. Tokens | ~16k |
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DM-Code-Agent is Local-first, auditable Python code agent. Ships its own 30-task hidden-test benchmark plus SWE-bench Verified scored by the official harness -- every number reproducible, negative results included.. It is categorized as a MCP Server with 151 GitHub stars.
DM-Code-Agent is primarily written in Python. It covers topics such as agent, agent-evaluation, agent-skills.
You can find installation instructions and usage details in the DM-Code-Agent GitHub repository at github.com/hwfengcs/DM-Code-Agent. The project has 151 stars and 15 forks, indicating an active community.
DM-Code-Agent is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to DM-Code-Agent on Agent Skills Hub include Xenon, wcgw, aser. 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: