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 Weizhena · Claude Skill · ★ 2.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Deep-Research-skills safe to install? View the security audit →
Deep Research Skill for Claude Code / OpenCode / Codex English | 中文 If you find this project helpful, please give it a star! :star: Inspired by RhinoInsight: Improving Deep Research through Control Mechanisms for Model Behavior and Context A structured research workflow skill for Claude Code, OpenCode, and Codex, supporting two-phase research: outline generation (extensible) and deep investigation. Human-in-the-loop design ensures precise control at every stage. Use Cases Academic Research: Paper surveys, benchmark reviews, literature analysis Technical Research: Technology comparison, framework evaluation, tool selection Market Research: Competitor analysis, industry trends, product comparison Due Diligence: Company research, investment analysis, risk assessment Installation Claude Code OpenCode (default: gpt-5.4) bash Skills (same as Claude Code) cp -r skills/research-en/ /.clau
| Stars | 2,001 |
| Forks | 166 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 72.6925465882316/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-23 |
| Created | 2025-12-29 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~14k |
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Deep-Research-skills is Structured deep research skill for Claude Code/Open Code/Codex with human-in-the-loop control. It is categorized as a Claude Skill with 2.0k GitHub stars.
Deep-Research-skills is primarily written in Python. It covers topics such as claude-code, claude-code-skills, deep-research-agent.
You can find installation instructions and usage details in the Deep-Research-skills GitHub repository at github.com/Weizhena/Deep-Research-skills. The project has 2.0k stars and 166 forks, indicating an active community.
Deep-Research-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Deep-Research-skills on Agent Skills Hub include plannotator, claude-squad, openpencil. 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: