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 zhu1090093659 · Claude Skill · ★ 963
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is spec_driven_develop safe to install? View the security audit →
English | 中文 Table of Contents What It Does Deep Discuss — Structured Deep Discussion S.U.P.E.R — The Architectural Backbone Platform Compatibility Installation Usage Project Structure Friendly Links License Spec-Driven Develop A structured methodology for AI coding agents. Pure Markdown. Any platform. Architecture-first. Spec-Driven Develop is a platform-agnostic AI agent plugin that ships two complementary skills: Spec-Driven Develop — automates the full pre-development pipeline for large-scale complex tasks: deep project analysis, phased task decomposition, document-driven progress tracking, and task-specific sub-SKILL generation — all before a single line of implementation code is written
| Stars | 963 |
| Forks | 97 |
| Language | Shell |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 68.4419456568867/100 |
| Open Issues | 2 |
| Last Updated | 2026-07-26 |
| Created | 2026-03-21 |
| Platforms | claude-code, cli, codex |
| Est. Tokens | ~15k |
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spec_driven_develop is Spec-driven development workflow for AI coding agents: architecture-first planning, task decomposition, GitHub Issue/PR tracking, Deep Discuss, and adaptive control for Claude Code, Codex, Cursor, and. It is categorized as a Claude Skill with 963 GitHub stars.
spec_driven_develop is primarily written in Shell. It covers topics such as ai-agent, ai-assisted-development, ai-coding-assistant.
You can find installation instructions and usage details in the spec_driven_develop GitHub repository at github.com/zhu1090093659/spec_driven_develop. The project has 963 stars and 97 forks, indicating an active community.
spec_driven_develop is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to spec_driven_develop on Agent Skills Hub include Overture, vibe-coding-prompt-template, pilot-shell. 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: