Skill 审计报告
budget-optimizer 审计报告.
Reallocate marketing spend across channels using performance data and diminishing-returns modeling — produces a current-vs-optimized allocation table, projected ROI ranges with confidence intervals, a phased 4-8 week reallocation timeline, and a 10-15% testing reserve. Recommends shifts only; it never changes spend on any platform. Triggers on \"/digital-marketing-pro:budget-optimizer\", \"optimize my marketing budget\", \"which channels should get more spend\", \"reallocate budget based on ROAS\", \"is our channel split right\". Reads the brand profile and guidelines, runs scripts/budget-optimizer.py, and pairs with /digital-marketing-pro:budget-tracker for in-flight pacing.
OpenAgentSkill 信任评分
OpenAgentSkill 信任评分
Trust Score 帮助 Agent 在安装前判断一个 Skill 是否足以进入候选清单。
GitHub 采用度
信息76
787 个 GitHub Stars
Star/Fork 活跃度
信息71
787 个 Star,132 个 Fork; 当前元数据中没有议题活跃度信息
近期维护
通过88
距上次推送 2 个月
许可证清晰度
通过86
MIT
README/SKILL.md 完整度
信息76
公开元数据需要更完整的 README/SKILL.md 上下文
依赖与运行时风险
通过90
公开元数据中未发现主要依赖风险提示
安装可用性
通过92
npx skills add indranilbanerjee/digital-marketing-pro --skill budget-optimizer
安装命令安全性
通过92
标准软件包或运行时安装路径
权限范围
通过86
文件系统或文档访问
仓库证据
通过86
https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/budget-optimizer
审查状态
通过88
可用 AI 审查数据
Agent 验证结果
信息54
暂未有 Agent 结果数据
检查项
安装与采用审查
安装路径
92
npx skills add indranilbanerjee/digital-marketing-pro --skill budget-optimizer
仓库
88
https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/budget-optimizer
许可证
86
MIT
维护
88
距上次推送 2 个月
AI 审查
88
Approved with no listed issues
README/SKILL.md 完整度
84
Usable description available
依赖风险
90
公开元数据中未发现主要依赖风险提示
安装命令安全性
92
标准软件包或运行时安装路径
权限范围
86
文件系统或文档访问
Star/Fork 活跃度
71
787 个 Star,132 个 Fork; 当前元数据中没有议题活跃度信息
采用度
88
787 个 GitHub Stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
警告
- Financial research output is not financial advice; require human review before any live investment decision
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
方法
本报告综合公开元数据、AI 审查输出、仓库活跃度、安装就绪度、OpenAgentSkill 事件、质量评分、信任检查和 Agent 安全门槛;它不是完整的源代码安全审计。
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