claude-research-plan-implement: Structured AI development framework for Claude Code

by teambrilliant · Claude Skill · ★ 105

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 57/100

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.

claudeclaude-aiclaude-code

Quick Facts

Stars105
Forks17
LanguageShell
CategoryClaude Skill
Quality Score57/100
Last Updated2026-03-25
Created2025-09-24
Platformsclaude-code, cli
Est. Tokens~2k

About claude-research-plan-implement

Claude Research-Plan-Implement Framework (Archived) This repo is no longer maintained.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

Compatible Skills

These tools work well together with claude-research-plan-implement for enhanced workflows:

  • ContextKit — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (52%)
  • claude-toolbox — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (52%)
  • don-cheli-sdd — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (52%)

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How this security grade is produced

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:

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