技能详情（站内镜像，无评论）
作者：Alireza Rezvani @alirezarezvani
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v2.1.1
统计：⭐ 0 · 184 · 2 current installs · 2 all-time installs
⭐ 0
安装量（当前） 2
🛡 VirusTotal ：良性 · OpenClaw ：良性
Package：alirezarezvani/campaign-analytics
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：良性
OpenClaw 评估
The skill's files, instructions, and requirements are consistent with a local marketing analytics toolkit that runs deterministic Python scripts on user-provided JSON; it does not request secrets, install external packages, or reference external endpoints.
目的
Name/description, SKILL.md, templates, reference docs, sample data, and the three Python scripts all align on performing attribution, funnel, and ROI analysis. Nothing in the manifest or instructions requests unrelated resources or credentials.
说明范围
SKILL.md instructs running local Python CLI scripts against user-supplied JSON and describes input/output formats; it does not ask the agent to read unrelated system files, access environment credentials, or send data externally. The shown script (attribution_analyzer.py) operates only on the input JSON and uses the standard library.
安装机制
No install spec is provided (instruction+scripts only). That is proportionate for a small CLI toolkit and limits the skill from pulling arbitrary remote code during install.
证书
The skill declares no required environment variables, no primary credential, and no config paths. The SKILL.md and visible script do not reference secrets or external APIs, so requested environment access is minimal and appropriate.
持久
always is false (no forced presence). The skill is user-invocable and can be called autonomously (platform default), which is expected for a utility. It does not request system-wide configuration changes or modify other skills.
综合结论
This appears to be a locally-run analytics toolkit. Before installing or running: (1) review the full source of all three scripts (campaign_roi_calculator.py and funnel_analyzer.py were truncated in the package preview) to confirm there are indeed no network calls or hidden behavior; (2) run the tools on synthetic or non-sensitive sample data first; (3) avoid feeding production PII/credentials into the sample JSON unless you’ve inspected the c…
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Campaign Analytics」。简介：Analyzes campaign performance with multi-touch attribution, funnel conversion a…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/alirezarezvani/campaign-analytics/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
暂无本地缓存内容，可在后台执行详情同步。