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 Varietyz · Claude Skill · ★ 404
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Disciplined-AI-Software-Development safe to install? View the security audit →
Disciplined AI Software Development Methodology © 2025 by Jay Baleine is licensed under CC BY-SA 4.0 📘 Using CLI-based AI models? (Claude Code, Cursor, Windsurf, etc.) This documentation covers web browser AI collaboration. For CLI agents with tool access, PAG (Pattern Abstract Grammar) is an AI first language with explicit validation gates, phase sequencing, and constraint enforcement designed for agentic workflows. PAG expands on this methodology with formal grammar, tool invocation patterns, orchestration templates, and algorithm loop documentation. Visit banes-lab.com/pag for the complete specification. PAG Documents: PAG-COLLABORATION.md | PAG-AGENT-ORCHESTRATION.md Disciplined AI Software Development - Co
| Stars | 404 |
| Forks | 31 |
| Language | Python |
| Category | Claude Skill |
| License | CC-BY-SA-4.0 |
| Quality Score | 70.1603722009154/100 |
| Open Issues | 1 |
| Last Updated | 2026-04-02 |
| Created | 2025-09-04 |
| Platforms | claude-code, python |
| Est. Tokens | ~61k |
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Disciplined-AI-Software-Development is A disciplined methodology for AI-assisted software development. Covers architectural constraints, validation hooks, session governance, and PAG (Pattern Abstract Grammar) for structured AI collaborati. It is categorized as a Claude Skill with 404 GitHub stars.
Disciplined-AI-Software-Development is primarily written in Python. It covers topics such as ai-assisted-development, ai-governance, claude-code.
You can find installation instructions and usage details in the Disciplined-AI-Software-Development GitHub repository at github.com/Varietyz/Disciplined-AI-Software-Development. The project has 404 stars and 31 forks, indicating an active community.
Disciplined-AI-Software-Development is released under the CC-BY-SA-4.0 license, making it free to use and modify according to the license terms.
The top alternatives to Disciplined-AI-Software-Development on Agent Skills Hub include vibe-log-cli, spec-driven-workflow, MeiGen-AI-Design-MCP. 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: