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 s0912758806p · Agent Tool · ★ 206
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agentic-sop-to-work safe to install? View the security audit →
agentic-sop-to-work Turn human SOPs into deterministic, gated, human-approved agentic workflows — no fabrication, no "mega-agent" rot. 把人工 SOP 變成「確定性引擎 ＋ 誠實硬閘門 ＋ 人核准」的 agentic workflow——不臆造、不退化成 mega agent。 🌐 English ・ 繁體中文 🗺️ At a glance · 運作一覽 Human SOP → single-tool skills → orchestrated flow (gated · branch · map) → DRAFT → human approval; a Stop-hook regression gate guards every change.Human SOP → 單一工具 skill → 編排流程（閘門・分支・map）→ DRAFT → 人核准；Stop-hook 回歸閘門守住每次變更。 靜態圖 / static diagram</summ
| Stars | 206 |
| Forks | 21 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 67.1260552709832/100 |
| Last Updated | 2026-09-08 |
| Created | 2026-06-09 |
| Platforms | claude-code, python |
| Est. Tokens | ~15k |
These tools work well together with agentic-sop-to-work for enhanced workflows:
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agentic-sop-to-work is Turn human SOPs into deterministic, gated agentic workflows — a Claude Code plugin.. It is categorized as a Agent Tool with 206 GitHub stars.
agentic-sop-to-work is primarily written in Python. It covers topics such as agentic-workflow, claude-code, claude-code-plugin.
You can find installation instructions and usage details in the agentic-sop-to-work GitHub repository at github.com/s0912758806p/agentic-sop-to-work. The project has 206 stars and 21 forks, indicating an active community.
agentic-sop-to-work is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agentic-sop-to-work on Agent Skills Hub include xclaude-plugin, awesome-claude-code-plugins, antigravity-skills. 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: