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 kennyzir · Codex Skill · ★ 319
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is 7deer_skills safe to install? View the security audit →
7Deer Skills 面向 AI 智能体（Agent）的、可组合且可审计的 Roblox 游戏站增长工作流。 从发现游戏机会，到关键词研究、证据整理、站点规划、SEO 质量检查（QA）、上线后的持续更新与外链增长，每一步都有明确产物、证据边界和停止条件。这里不是“一键生成生产站点”的承诺；你需要选择合适的技能（Skills）、提供项目上下文，并对部署、提交和付费 API 等外部动作明确授权。 用公开证据和缺失数据边界判断一个候选游戏是否值得继续； 将后续工作编排成七阶段、七份可审计的 Markdown 阶段交付物（artifact）。其他技能按需加入，而不是被包装成一个不可检查的黑箱。 适合谁 / 你会得到什么 适合不想凭感觉选游戏、希望先看公开证据与缺失项的 Roblox 独立站开发者。 避免关键词、证据、页面、上线和外链各自断裂，让下一步始终知道依据来自哪里。 每个阶段留下可恢复、可复盘的交付物；中途暂停或换 Agent，也能从明确状态继续。 从游戏信号到可衡量的增长 、[](keyword-competition-analysis/SKILL.m
| Stars | 319 |
| Forks | 144 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 63.5871084890001/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-29 |
| Created | 2026-04-03 |
| Platforms | codex, python |
| Est. Tokens | ~14k |
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7deer_skills is Composable, auditable Agent Skills for building Roblox game sites—from opportunity and keyword research to content, SEO, updates, and backlinks.. It is categorized as a Codex Skill with 319 GitHub stars.
7deer_skills is primarily written in Python. It covers topics such as agent-skills, ai-agents, backlinks.
You can find installation instructions and usage details in the 7deer_skills GitHub repository at github.com/kennyzir/7deer_skills. The project has 319 stars and 144 forks, indicating an active community.
7deer_skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to 7deer_skills on Agent Skills Hub include crawlseo, seo-skills, claude-workflow-v2. 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: