smart-ralph: Spec-driven development with smart compaction

by tzachbon · Claude Skill · ★ 544

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

How to install smart-ralph

/plugin marketplace add tzachbon/smart-ralph
/plugin install ralph-specum@smart-ralph

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 75/100

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. Full audit →

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.

agentic-codingaiai-agentsautonomous-codingclaudeclaude-codeclaude-code-pluginclaude-code-skillsclaude-skillscodex-skills

Quick Facts

Stars544
Forks48
LanguageShell
CategoryClaude Skill
LicenseMIT
Quality Score75/100
Open Issues14
Last Updated2026-09-16
Created2026-01-11
Platformsclaude-code, cli, codex
Est. Tokens~15k

About smart-ralph

Smart Ralph "Me fail specs? That's unpossible!" Spec-driven development for Claude Code and Codex. Task-by-task execution with fresh context per task. Self-contained execution loop. No external dependencies. Quick Start Troubleshooting What is this? Smart Ralph is a Claude Code plugin that turns your vague feature ideas into structured specs, then executes them task-by-task.

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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:

View on GitHub → Browse Claude Skill tools