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 doncheli · Codex Skill · ★ 57
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is don-cheli-sdd safe to install? View the security audit →
🌐 Read in: English Português Don Cheli — SDD Framework Stop guessing. Start engineering. The only framework where TDD is law, not a suggestion. One command. Verified code. Don Cheli takes your idea a
| Stars | 57 |
| Forks | 10 |
| Language | TypeScript |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 67.3578560801554/100 |
| Last Updated | 2026-05-11 |
| Created | 2026-03-21 |
| Platforms | claude-code, codex, gemini, node |
| Est. Tokens | ~238k |
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don-cheli-sdd is Don Cheli — SDD Framework. The most comprehensive Specification-Driven Development framework for AI agents. 88+ commands, 51 skills, 15 reasoning models. TDD mandatory, OWASP audit, Autonomous Mode, C. It is categorized as a Codex Skill with 57 GitHub stars.
don-cheli-sdd is primarily written in TypeScript. It covers topics such as agentic-coding, ai-agents, ai-coding.
You can find installation instructions and usage details in the don-cheli-sdd GitHub repository at github.com/doncheli/don-cheli-sdd. The project has 57 stars and 10 forks, indicating an active community.
don-cheli-sdd is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to don-cheli-sdd on Agent Skills Hub include stream-coding, claudepro-directory, meridian. 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: