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trust-signals信任信号

Agent Skill

trust-signals 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。

总安装

2,350

周安装

96

GitHub Stars

公开资料未说明

下载量

753
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:trust-signals(信任信号)
来源仓库:https://github.com/leooooooow/trust-signals
安装命令:
openclaw skills install trust-signals
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。

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openclaw skills install trust-signals

简介

审核产品页面是否存在缺失或薄弱的信任信号,包括影响购买信心的评论、保证、认证和社会证明。

SKILL.md

name
trust-signals
description
Audit product pages for missing or weak trust signals including reviews, guarantees, certifications, and social proof that affect purchase confidence.

Trust Signals

Audit product pages for missing or weak trust signals including reviews, guarantees, certifications, and social proof that affect purchase confidence. This skill helps ecommerce operators find the specific credibility gaps that make first-time visitors bounce or abandon carts even when the product itself is competitive on price and features.

Use when

  • You notice a Shopify or DTC product page is getting traffic and add-to-cart events but a disproportionately low checkout completion rate and you suspect buyer hesitation rather than pricing or product-market fit
  • A new product launch is underperforming older hero SKUs in the same catalog and the main difference appears to be the absence of accumulated reviews, press mentions, or category badges on the newer listing
  • You are preparing a paid traffic campaign (Meta, TikTok, Google) and want to pre-audit the landing page for trust signal coverage before pushing cold traffic that has no existing brand familiarity
  • You are expanding into a new geographic market or marketplace and need to re-evaluate which trust signals translate (star ratings, return policies, payment logos) versus which are country-specific (local trust seals, certifications, regulator badges)

What this skill does

This skill performs a structured audit of a product page or product detail page against a checklist of trust signal categories — review volume and recency, rating distribution, third-party certifications, return and shipping guarantees, payment method badges, security indicators, press and media mentions, user-generated photo or video content, expert endorsements, and comparison claims with substantiation. It identifies which signals are present but weak (e.g., five reviews from 2022 on a premium-priced item), which are missing entirely, and which are present but poorly placed relative to the decision moments on the page. It outputs a prioritized remediation plan ranked by the probable conversion lift and the effort required to implement each change.

Inputs required

  • Product page URL or content (required): The live URL, a screenshot set covering above-the-fold through checkout CTA, or a pasted dump of the page copy and structure including review section, policy links, and badges.
  • Product context (required): Price point, category, average competitor price in the same category, target customer (first-time buyer versus repeat, impulse versus considered purchase), and the traffic source the page typically serves.
  • Current performance (optional): Conversion rate, bounce rate, time on page, and scroll depth metrics if available. Including these lets the audit prioritize signals likely to move the specific weakness the page has.
  • Brand assets available (optional): Existing press mentions, certifications held, review platform data exports, UGC library, or partnerships that could be surfaced but currently are not visible on the page.

Output format

The output has four sections. Section one, Trust Signal Inventory, lists every category of trust signal with a present/weak/missing rating and a one-line evidence note. Section two, Critical Gaps, highlights the three to five missing or weak signals most likely to be costing conversions for this specific price point, category, and traffic source, with the reasoning for each. Section three, Remediation Plan, gives a prioritized action list with expected impact (high/medium/low), implementation effort (quick fix versus project), and any third-party tools or assets needed. Section four, Placement Map, recommends where on the page each signal should appear — hero zone, above the add-to-cart button, near price, near shipping copy, or in the FAQ — matched to the moment of hesitation it addresses.

Scope

  • Designed for: ecommerce operators, DTC brand teams, conversion rate optimization specialists, Shopify and TikTok Shop sellers
  • Platform context: Shopify, WooCommerce, TikTok Shop, Amazon brand stores, custom ecommerce sites, platform-agnostic
  • Language: English

Limitations

  • Works from the page content and context you provide; does not crawl live pages, fetch real-time review data, or query analytics platforms directly
  • Cannot validate the legal or regulatory accuracy of specific trust claims (medical, financial, safety certifications) — those require appropriate professional review before publication
  • Conversion impact estimates are directional based on category benchmarks and common patterns; actual lift must be validated through A/B testing on the specific audience and traffic mix

适合场景

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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

86.75%
按下载量换算653

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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