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 rohitg00 · Claude Skill · ★ 2.8k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is pro-workflow safe to install? View the security audit →
Complete AI coding workflow system. Orchestration patterns • 18 hook events • 5 agents • 7 reference guides • Cross-agent support Works with Claude Code, Cursor, and 32+ agents via SkillKit. What's New in v2.0 Orchestration PatternsCommand Agent Skill architecture with multi-phase development 5 Agent
| Stars | 2,775 |
| Forks | 270 |
| Language | JavaScript |
| Category | Claude Skill |
| Quality Score | 71.2524106202186/100 |
| Open Issues | 27 |
| Last Updated | 2026-08-17 |
| Created | 2026-02-01 |
| Platforms | claude-code, cli, codex, gemini, node |
| Est. Tokens | ~17k |
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pro-workflow is Claude Code learns from your corrections: self-correcting memory that compounds over 50+ sessions. Context engineering, parallel worktrees, agent teams, and 17 battle-tested skills.. It is categorized as a Claude Skill with 2.8k GitHub stars.
pro-workflow is primarily written in JavaScript. It covers topics such as agent-orchestration, ai-agents, ai-coding.
You can find installation instructions and usage details in the pro-workflow GitHub repository at github.com/rohitg00/pro-workflow. The project has 2.8k stars and 270 forks, indicating an active community.
The top alternatives to pro-workflow on Agent Skills Hub include quint-code, happier, claude-codex-settings. 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: