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 arch-team · Claude Skill · ★ 73
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is devpace safe to install? View the security audit →
🌐 中文版 | English devpace Give your Claude Code projects a steady development pace — requirements change, rhythm stays. A development harness for Claude Code — rules, schemas, gates, and feedback loops that keep AI-assisted development traceable and measurable. Why devpace When using Claude Code for product development: See full walkthrough: from init to done 30-Second Experience /pace-init ← Initialize (once) "Help me implement user auth" ← Claude auto-tracks tasks, writes code, r
| Stars | 73 |
| Forks | 6 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 70.5421300773452/100 |
| Open Issues | 1 |
| Last Updated | 2026-04-20 |
| Created | 2026-02-20 |
| Platforms | claude-code, python |
| Est. Tokens | ~228k |
Looking for a devpace alternative? If you're comparing devpace with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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Explore other popular claude skill tools:
devpace is BizDevOps rhythm manager for Claude Code — trace business goals to code changes with 18 skills. It is categorized as a Claude Skill with 73 GitHub stars.
devpace is primarily written in Python. It covers topics such as ai-coding, ai-development, bizdevops.
You can find installation instructions and usage details in the devpace GitHub repository at github.com/arch-team/devpace. The project has 73 stars and 6 forks, indicating an active community.
devpace is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to devpace on Agent Skills Hub include vibe-log-cli, orchestkit, super-dev. 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: