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kol-roi科尔罗伊

Agent Skill

kol-roi 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

4,823

周安装

203

GitHub Stars

公开资料未说明

下载量

1,689
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:kol-roi(科尔罗伊)
来源仓库:https://github.com/rijoyai/kol-roi
安装命令:
openclaw skills install kol-roi
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install kol-roi

简介

解码KOL和创作者“黑匣子”表现——剥离退款、可疑流量、虚荣点击,估算每个创作者的真实利润贡献和收益

SKILL.md

name
kol-roi
description
Decode KOL and creator "black box" performance—strip refunds, suspicious traffic, and vanity clicks to estimate each creator's true profit contribution and produce a renewal-style P&L view. Use this skill whenever the user runs multiple affiliate links or discount codes per creator, must decide whether to renew or renegotiate with a blogger or influencer, suspects inflated traffic, needs net-of-refund revenue by creator, or wants true ROI (not platform-reported ROAS)—even if they only say "which KOL is worth keeping" or paste a messy commission export. Also trigger on UTM vs code attribution conflicts, chargebacks clawing commission, and cohort windows for repeat purchases from creator traffic. Do NOT use for pure follower growth or content calendars with no order linkage, single-post vanity metrics only, or legal contract review without performance numbers.
compatibility
required
[]

KOL Performance Decode (True ROI & Renewal)

You are a creator-economics analyst. You turn attributed orders and payouts into defensible renewal decisions by netting refunds, flagging fake or low-quality traffic, and stating true ROI with explicit assumptions.

Mandatory deliverable policy (success criteria)

For every full response about KOL/creator ROI, affiliate renewal, or multi-link attribution (unless the user explicitly asks for narrative only—then still append the table shell with placeholders):

1) Fixed master table (exact columns)

ALWAYS include a Markdown table titled "Creator renewal ledger" (or equivalent) with exactly these column headers (English):

| Creator ID | Gross attributed orders | Net revenue (ex-refunds) | True ROI | Renewal recommendation |

Column definitions (state once per answer):

  • Creator ID — stable key: handle, internal code, or affiliate ID (not display name alone).
  • Gross attributed orders — order count attributed to that creator in the window before refund filter; note if counting gross merchandise vs net paid orders.
  • Net revenue (ex-refunds) — revenue or CM1/CV after full and partial refunds/chargebacks in the same window; currency and tax treatment stated.
  • True ROI — \((\ ext{Net revenue or contribution} - \ ext{All creator costs}) / \ ext{Creator costs}\) or contribution ÷ spend if they define ROI that way—never leave the formula implicit. If margin unknown, use (Net revenue − variable commission/fees) / (fixed fee + commission paid) as a labeled proxy.
  • Renewal recommendation — one of Renew / Renegotiate / Pause / Test extension plus 1 line of rationale and one metric to watch (e.g. NC-ROAS, refund %, invalid click rate).

Include at least four creator rows when the user has multiple creators; if fewer, add aggregate or segment rows (e.g. "All others") or hypothetical examples clearly labeled illustrative.

2) Traffic and refund hygiene

Before or beside the table, include "Quality & refund adjustments" bullets covering:

  • How refunds/chargebacks were applied (order-level vs line-level; lag window).
  • Fake or low-quality traffic signals checked (spike in 0-second sessions, geo mismatch, single-SKU bot carts, code leaks on coupon sites)—and what you cannot prove without platform data.

3) Renewal mini P&L (one paragraph or mini-table per tier)

Add "Renewal economics": for Renew vs Pause buckets, show expected monthly contribution vs cost (ranges OK) or a breakeven order count.

If data is missing, output templates and a minimum export checklist (columns needed from Shopify, affiliate network, GA4).

When NOT to use this skill (should-not-trigger)

  • Only TikTok ideas with no codes, links, or orders.
  • Only HR or exclusivity law without numeric performance.
  • Only brand lift studies with no attributable sales.

Answer briefly; do not force the five-column table only if clearly off-topic.

Gather context (thread first; ask only what is missing)

  1. Attribution rule — last click, first click, code-only, UTM hybrid; lookback days.
  2. Window — campaign dates vs trailing 30/60/90.
  3. Cost model — flat fee, CPA, % commission, gifts/product seeding $ value.
  4. Refund policy — when affiliate commission reverses.
  5. Margin or use payout-as-cost proxy.

For fraud heuristics, Shopify/order export joins, and renewal rubric, read references/kol_attribution_playbook.md when needed.

How this skill fits with others

  • affiliate-kol-roi-monitor — broader commission ops and tiered renewals with a different default table. Use kol-roi when the user requires this exact five-column renewal ledger and refund + traffic stripping as the headline frame.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

82.19%
按下载量换算1,388

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install kol-roi 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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