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 teambrilliant · Claude Skill · ★ 105
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-research-plan-implement safe to install? View the security audit →
Claude Research-Plan-Implement Framework (Archived) This repo is no longer maintained. The original commands and agents were inspired by HumanLayer's setup, simplified and tailored with Claude Code to specific workflows. The work has since evolved into a plugin-based skill system that we use daily: Quick start with the new skills
| Stars | 105 |
| Forks | 17 |
| Language | Shell |
| Category | Claude Skill |
| Quality Score | 56.6389916223126/100 |
| Last Updated | 2026-03-25 |
| Created | 2025-09-24 |
| Platforms | claude-code, cli |
| Est. Tokens | ~2k |
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claude-research-plan-implement is Structured AI development framework for Claude Code. Research → Plan → Implement workflow with parallel agents, persistent context, and session management.. It is categorized as a Claude Skill with 105 GitHub stars.
claude-research-plan-implement is primarily written in Shell. It covers topics such as claude, claude-ai, claude-code.
You can find installation instructions and usage details in the claude-research-plan-implement GitHub repository at github.com/teambrilliant/claude-research-plan-implement. The project has 105 stars and 17 forks, indicating an active community.
The top alternatives to claude-research-plan-implement on Agent Skills Hub include claudepro-directory, ask-user-questions-mcp, claude-prompt-engineering-guide. 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: