by swingerman · Claude Skill · ★ 149
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Disciplined Agentic Engineering — a methodology kit for Claude Code: acceptance-test-first specs, explicit checkpoints, and autonomy you can actually leave running. The engineer, atdd and crap-analyzer plugins.
| Stars | 149 |
| Forks | 10 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 53.4255964988788/100 |
| Last Updated | 2026-09-10 |
| Created | 2026-02-16 |
| Platforms | claude-code, python |
| Est. Tokens | ~13k |
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engineer is Disciplined Agentic Engineering — a methodology kit for Claude Code: acceptance-test-first specs, explicit checkpoints, and autonomy you can actually leave running. The engineer, atdd and crap-analyze. It is categorized as a Claude Skill with 149 GitHub stars.
engineer is primarily written in Python. It covers topics such as acceptance-testing, agentic-ai, ai-development.
You can find installation instructions and usage details in the engineer GitHub repository at github.com/swingerman/engineer. The project has 149 stars and 10 forks, indicating an active community.
engineer is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to engineer on Agent Skills Hub include nWave, claude-code-bmad-skills, orchestkit. 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.
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