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Agent Skill · 研究检索

affiliate(affiliate 搜索)

affiliate 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

affiliate 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为权限未标注;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 16,585。

总安装 7,102周安装 293GitHub Stars 公开资料未说明下载 2,321核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

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:affiliate(affiliate 搜索)
来源仓库:https://github.com/agenticio/affiliate
安装命令:
openclaw skills install affiliate
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 affiliate

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

affiliate 构建实际转化的联属营销系统。寻找高佣金计划并匹配用户需求。安装时按仓库提供的命令执行,建议先在测试环境验证依赖、命令权限和文件改动范围。支持计划搜索、佣金比较与绩效追踪。涉及财务操作时需谨慎授权。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

affiliate 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install affiliate;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    权限没有明确标注,第一次使用时只给一个无关紧要的任务,观察它到底读了哪些文件和网络。

常见问题

6 条

affiliate 怎么安装?

在终端执行 openclaw skills install affiliate。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

affiliate 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

affiliate 需要什么权限?

权限级别没有明确标注。第一次使用时建议只给无关紧要的任务,观察它实际读写了哪些内容。

affiliate 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

affiliate 用的人多吗?

公开数据是累计安装 7,102 次,近一周安装 293 次,下载 2,321 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

affiliate 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
affiliate

affiliate 搜索 · 本页

7,102—权限未标注MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
Affiliate
description
A comprehensive AI agent skill for building and operating affiliate marketing systems that actually convert. Finds high-commission programs aligned with your audience's genuine needs, creates content that pre-sells without feeling like advertising, tracks performance across programs, optimizes conversion funnels, and builds the kind of trust-based audience relationships that make affiliate income sustainable rather than a one-time transaction.

Affiliate

Why Most Affiliate Marketing Fails

The math of affiliate marketing looks simple. Find a product. Get a link. Tell people about it. Earn a commission.

The reality is that most people who try this make almost nothing, and the reason is not that they chose the wrong products or the wrong platforms. The reason is that they skipped the only part that actually matters: trust.

In 2024, the average person encounters hundreds of pieces of content per day that are trying to sell them something. They have developed sophisticated filters for detecting promotional intent. They can feel the difference between someone who genuinely uses and believes in a product and someone who is reciting talking points from an affiliate brief. They can tell when a recommendation is designed to help them and when it is designed to generate a commission. And when they detect the latter, they do not just ignore the recommendation — they lose trust in the person making it.

This is why the affiliate marketing playbook of the early internet — high-volume content stuffed with links, SEO-optimized for buyer-intent keywords, written for algorithms rather than humans — has collapsed. The algorithms got smarter. The readers got smarter. The approach that worked when people were less sophisticated about detecting promotional content no longer works because people are no longer less sophisticated.

What works now is also what worked before affiliate marketing existed as a formal category: genuine recommendation from a trusted source. A friend telling you about a product they actually use. An expert whose judgment you trust telling you what they would choose if they were in your situation. Someone who has done the research you do not have time to do telling you what they found.

Affiliate income that compounds over time comes from being that person for your audience. Not the person who promotes products. The person whose recommendations your audience seeks out.

This skill is built around that reality.


Finding the Right Programs

The first decision in affiliate marketing is which products to promote, and most people get this wrong in the same direction: they look for high commission rates rather than product-audience fit.

A forty percent commission on a product your audience does not need is worth nothing. A ten percent commission on a product your audience actively wants and would thank you for telling them about is worth a great deal — not just in direct commission, but in the trust it builds and the audience loyalty it creates.

The skill evaluates affiliate opportunities against your specific audience profile rather than against generic commission metrics. Who is your audience? What problems are they trying to solve? What products do they already use and what gaps exist in their current toolkit? What price points are realistic for their situation? What level of product quality and support will reflect well on you if they purchase based on your recommendation?

Against this profile, it identifies programs worth pursuing: products with genuine product-market fit in your audience's specific context, commission structures that are sustainable and fair, affiliate programs with reliable tracking and timely payment, and vendors whose customer experience will not embarrass you when your audience becomes their customers.

It also identifies programs to avoid — products with high churn that suggest they do not deliver on their promises, vendors with patterns of affiliate payment disputes, products positioned as solutions to problems your audience does not actually have.


Content That Converts Without Feeling Promotional

The most effective affiliate content does not feel like affiliate content. It feels like the answer to a question your audience was already asking.

This is not deception. It is alignment. When you are recommending a product because it genuinely solves a problem your audience has, the content that performs best is the content that demonstrates that genuine utility — shows how the product solves the problem, for whom it works well, where its limitations are, and how it compares to alternatives. This content is useful to your audience regardless of whether they click your link. And because it is useful, they trust it. And because they trust it, they click the link.

The skill produces content structured around this logic. Not "here is a product I am promoting" but "here is the answer to the question you are trying to answer, and this product happens to be part of that answer." Review content that covers the whole picture including limitations, not just the strengths. Comparison content that helps your audience understand which option is right for their specific situation, not just which option generates the highest commission. Tutorial content that teaches your audience how to get value from a product, which is the most effective pre-selling mechanism that exists because it demonstrates the value directly rather than asserting it.

The voice matters as much as the structure. The skill writes in your voice — the specific cadence, vocabulary, and perspective that your audience has come to associate with you. Generic affiliate content written in generic affiliate voice is detectable and distrusted. Content that sounds like you is trusted because it is trusted.


Platform-Specific Conversion Logic

Affiliate content performs differently on different platforms, and most people apply the same approach everywhere rather than adapting to the specific conversion logic of each platform.

Long-form content — blog posts, newsletters, YouTube videos — is where the highest-trust, highest-converting affiliate recommendations live. The format gives you room to demonstrate genuine expertise, cover the full picture, and build the context that makes a recommendation credible. The skill structures long-form affiliate content around the reader's decision journey: what they are trying to accomplish, what they need to understand before they can make a good decision, what the options are and how to choose between them.

Social media requires compression without losing the trust signals that make recommendations credible. The skill adapts affiliate content for each platform's native format — the Twitter thread that walks through a decision framework, the Instagram post that demonstrates a specific use case, the LinkedIn piece that positions the recommendation within a professional context — while maintaining the authenticity that makes the recommendation worth trusting.

Email is the highest-converting affiliate channel for most audiences because the trust relationship is more established and the context is more personal. The skill writes email affiliate recommendations that feel like advice from a knowledgeable friend rather than a promotional broadcast — specific, contextual, honest about limitations, and clearly oriented toward the reader's interests rather than the sender's commission.

Community contexts — Telegram groups, Discord servers, Reddit, niche forums — require the most careful handling because promotional content in community contexts is the most easily detected and the most damaging when detected. The skill helps you contribute genuinely to community conversations and integrate product recommendations only when they are directly relevant and clearly disclosed — the approach that builds community standing rather than destroying it.


Tracking and Optimization

Affiliate income without tracking is a black box. You know the total commissions but you do not know which content is driving them, which products are converting for your specific audience, or where in the funnel you are losing people who showed initial interest.

The skill builds a tracking framework that gives you the visibility to optimize. Which pieces of content generate the most clicks? Which generate the most conversions? What is the conversion rate by product, by platform, by content type? Where are the gaps between traffic and conversion that suggest friction in the funnel?

This data shapes everything that comes next. The products worth creating more content around because they convert well with your audience. The products that generate clicks but not purchases, which suggests either a product quality issue or a mismatch between what your content promises and what the product delivers. The content formats that work versus the ones that feel like they should work but do not.


Building for the Long Term

Affiliate income built on trust compounds in a way that affiliate income built on volume does not. An audience that trusts your recommendations becomes more valuable over time — more likely to act on new recommendations, more likely to refer others who share their profile, more likely to stay engaged because the content is genuinely useful rather than merely promotional.

The skill helps you build for this compounding rather than optimizing for short-term commission volume in ways that erode it. Maintaining honest disclosure about affiliate relationships. Recommending against products that do not fit, even when they offer high commissions. Updating recommendations when products change and earlier recommendations are no longer accurate. Building the reputation of someone whose recommendations can be trusted rather than someone whose recommendations need to be discounted for promotional bias.

This is a longer game than volume-based affiliate marketing. It is also the only game that produces sustainable income rather than a treadmill of content production that has to accelerate indefinitely just to maintain current revenue.

平台分布

OpenClaw

72.06%
按下载量换算1,673

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

权限未标注

当前来源未能明确判断权限范围,默认进入异常复核队列。

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。目前只有一个公开来源,建议同时核对源仓库。

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