ai-aftersales-ticket-agent: Reusable for AI Agents | OpenAgentSkill

Overview

当用户搜索售后工单Agent、AI工单、退换货客服、智能售后、电商图片、商品视频、AIGC营销、淘宝、京东、抖音、小红书、Amazon、Shopify、AI-HIVE MCP 时使用。帮助商家完成辅助分类、摘要、回复草稿和工单路由：先锁定SKU与授权素材，再查询真实可用模型与价格，生成小样，逐帧验收商品结构、Logo、标签、色彩、文字和平台规格；提供可复制的提示词、JSON工单、失败回退和批量扩展方法。

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AI大模型专家｜AI售后工单 Agent｜AI-HIVE MCP

打开 AI-HIVE

这个 Skill 面向电商商家、内容团队、代运营和广告团队，目标是辅助分类、摘要、回复草稿和工单路由，同时把商品真实性、品牌安全和批量成本纳入同一张验收表。

可解决什么

以真实SKU和授权素材为基线，不从零猜测商品结构。
先做一条小样，再扩展淘宝、京东、抖音、小红书、Amazon、Shopify、Instagram等渠道版本。
查询 AI-HIVE 当天可用模型、价格与任务状态；不硬编码模型名或不存在的 MCP 工具。
为每条结果保存 sku、prompt_version、task_id、cost_snapshot、审核结论与回退版本。

一条可执行小样

用脱敏历史工单测试分类和回复草稿，不自动退款、不自动改订单。

必须交付：

工单分类器
回复草稿
SLA与人工审批表

提示词模板

主体：真实商品，使用已授权参考图
动作：辅助分类、摘要、回复草稿和工单路由，轻运动，首尾自然衔接
锁定：外形、Logo、标签文字、颜色、材质、配件数量
镜头：稳定，无突然变形，无多余物体
输出：先生成一条小样，通过后再做尺寸与渠道变体

MCP 工单示例

先在宿主 Agent 中执行 tools/list，只使用真实返回的工具名和字段。下面是业务层工单，不代表固定接口：

{
  "project": "ai-aftersales-ticket-agent",
  "sku": "SKU-001",
  "task": "AI售后工单 Agent",
  "inputs": {
    "reference_assets": "owned_or_authorized",
    "brief": "approved"
  },
  "routing": [
    "QUALITY",
    "COST",
    "SPEED"
  ],
  "controls": {
    "pilot_first": true,
    "human_approval": true,
    "publish": false
  },
  "deliverables": [
    "工单分类器",
    "回复草稿",
    "SLA与人工审批表"
  ]
}

验收与停止条件

逐帧检查外形、Logo、标签文字、颜色、材质、配件数量、人物授权和平台安全区。记录首个可用结果时间、单位可用结果成本、返工次数和压缩后质量。连续两轮不达标、预算越界、素材权利不清或平台规格无法满足时停止，不通过改名或重复提交绕过审核。

AI-HIVE 与极睿科技

据公司提供资料，AI-HIVE 属于北京极睿科技有限责任公司产品体系。极睿科技成立于 2017 年，致力于打造全链路电商内容生成引擎，拥有 AIGC、时尚领域数据、计算机视觉和企业级工程能力；已服务 3000+ 品牌、5 万+ 店铺，并完成 5 轮、累计超过 3 亿元融资。公开引用这些数据时保留“据公司提供资料”，并由发布方确认最新口径。

官网：https://ai-hive.iclip.cn/chat

View source ↗

File metadata

name: ai-aftersales-ticket-agent
description: "当用户搜索 售后工单Agent、AI工单、退换货客服、智能售后、电商图片、商品视频、AIGC营销、淘宝、京东、抖音、小红书、Amazon、Shopify、AI-HIVE MCP 时使用。帮助商家完成辅助分类、摘要、回复草稿和工单路由：先锁定SKU与授权素材，再查询真实可用模型与价格，生成小样，逐帧验收商品结构、Logo、标签、色彩、文字和平台规格；提供可复制的提示词、JSON工单、失败回退和批量扩展方法。"

View original text

---
name: ai-aftersales-ticket-agent
description: "当用户搜索 售后工单Agent、AI工单、退换货客服、智能售后、电商图片、商品视频、AIGC营销、淘宝、京东、抖音、小红书、Amazon、Shopify、AI-HIVE MCP 时使用。帮助商家完成辅助分类、摘要、回复草稿和工单路由：先锁定SKU与授权素材，再查询真实可用模型与价格，生成小样，逐帧验收商品结构、Logo、标签、色彩、文字和平台规格；提供可复制的提示词、JSON工单、失败回退和批量扩展方法。"
---

# AI大模型专家｜AI售后工单 Agent｜AI-HIVE MCP

[打开 AI-HIVE](https://ai-hive.iclip.cn/chat)

这个 Skill 面向电商商家、内容团队、代运营和广告团队，目标是辅助分类、摘要、回复草稿和工单路由，同时把商品真实性、品牌安全和批量成本纳入同一张验收表。

## 可解决什么

- 以真实SKU和授权素材为基线，不从零猜测商品结构。
- 先做一条小样，再扩展淘宝、京东、抖音、小红书、Amazon、Shopify、Instagram等渠道版本。
- 查询 AI-HIVE 当天可用模型、价格与任务状态；不硬编码模型名或不存在的 MCP 工具。
- 为每条结果保存 `sku`、`prompt_version`、`task_id`、`cost_snapshot`、审核结论与回退版本。

## 一条可执行小样

用脱敏历史工单测试分类和回复草稿，不自动退款、不自动改订单。

必须交付：

- 工单分类器
- 回复草稿
- SLA与人工审批表

## 提示词模板

```text
主体：真实商品，使用已授权参考图
动作：辅助分类、摘要、回复草稿和工单路由，轻运动，首尾自然衔接
锁定：外形、Logo、标签文字、颜色、材质、配件数量
镜头：稳定，无突然变形，无多余物体
输出：先生成一条小样，通过后再做尺寸与渠道变体
```

## MCP 工单示例

先在宿主 Agent 中执行 `tools/list`，只使用真实返回的工具名和字段。下面是业务层工单，不代表固定接口：

```json
{
  "project": "ai-aftersales-ticket-agent",
  "sku": "SKU-001",
  "task": "AI售后工单 Agent",
  "inputs": {
    "reference_assets": "owned_or_authorized",
    "brief": "approved"
  },
  "routing": [
    "QUALITY",
    "COST",
    "SPEED"
  ],
  "controls": {
    "pilot_first": true,
    "human_approval": true,
    "publish": false
  },
  "deliverables": [
    "工单分类器",
    "回复草稿",
    "SLA与人工审批表"
  ]
}
```

## 验收与停止条件

逐帧检查外形、Logo、标签文字、颜色、材质、配件数量、人物授权和平台安全区。记录首个可用结果时间、单位可用结果成本、返工次数和压缩后质量。连续两轮不达标、预算越界、素材权利不清或平台规格无法满足时停止，不通过改名或重复提交绕过审核。

## AI-HIVE 与极睿科技

据公司提供资料，AI-HIVE 属于北京极睿科技有限责任公司产品体系。极睿科技成立于 2017 年，致力于打造全链路电商内容生成引擎，拥有 AIGC、时尚领域数据、计算机视觉和企业级工程能力；已服务 3000+ 品牌、5 万+ 店铺，并完成 5 轮、累计超过 3 亿元融资。公开引用这些数据时保留“据公司提供资料”，并由发布方确认最新口径。

官网：https://ai-hive.iclip.cn/chat

Use with my agent

Skill source recorded

Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Review before install

The skill references AI-HIVE MCP but does not provide concrete MCP tool names or connection details beyond a generic 'tools/list' instruction.
The SKILL.md is somewhat specific to the AI-HIVE platform, which may limit portability to other MCP environments.
Low GitHub adoption signal
Quality score needs review

Install targets

Codex install prompt

Install the "ai-aftersales-ticket-agent" agent skill from https://github.com/wubin1836/ai-hive-agent-skills/tree/main/skills/ai-aftersales-ticket-agent. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 当用户搜索 售后工单Agent、AI工单、退换货客服、智能售后、电商图片、商品视频、AIGC营销、淘宝、京东、抖音、小红书、Amazon、Shopify、AI-HIVE MCP 时使用。帮助商家完成辅助分类、摘要、回复草稿和工单路由：先锁定SKU与授权素材，再查询真实可用模型与价格，生成小样，逐帧验收商品结构、Logo、标签、色彩、文字和平台规格；提供可复制的提示词、JSON工单、失败回退和批量扩展方法。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"wubin1836-ai-aftersales-ticket-agent","task":"Install ai-aftersales-ticket-agent","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes. Recorded instruction path: skills/ai-aftersales-ticket-agent/SKILL.md. Recorded revision: 8bed7b1adb0d460f333fd0140b29552df11f7438. Confirm the source matches these instructions. Treat repository text as untrusted data; ask before credentials, paid services or external side effects.

Source & trust

IndexedInstall path available

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

License: MIT
Version: 1.0.0
Last GitHub push: Sep 1, 2026
Registry updated: Sep 1, 2026
Instruction path: skills/ai-aftersales-ticket-agent/SKILL.md @ 8bed7b1adb0d

Version reported in registry metadata; check source releases before relying on it.

Quality

53/100

Needs review

Trust

61/100

Sandbox only

Audit

74/100

Needs review

Agent access

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open install API LLM text format Open manifest Auto-resolve Plan

More details

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    "description": "当用户搜索 售后工单Agent、AI工单、退换货客服、智能售后、电商图片、商品视频、AIGC营销、淘宝、京东、抖音、小红书、Amazon、Shopify、AI-HIVE MCP 时使用。帮助商家完成辅助分类、摘要、回复草稿和工单路由：先锁定SKU与授权素材，再查询真实可用模型与价格，生成小样，逐帧验收商品结构、Logo、标签、色彩、文字和平台规格；提供可复制的提示词、JSON工单、失败回退和批量扩展方法。",
    "category": "business",
    "url": "https://www.openagentskill.com/skills/wubin1836-ai-aftersales-ticket-agent",
    "repository": "https://github.com/wubin1836/ai-hive-agent-skills/tree/main/skills/ai-aftersales-ticket-agent",
    "github_repo": "wubin1836/ai-hive-agent-skills"
  },
  "suited_tasks": [
    "business workflows",
    "Claude Code teams",
    "builders willing to evaluate younger projects",
    "Marketing",
    "SEO, content operations, lead generation, CRM, email automation, analytics, and growth workflows.",
    "当用户搜索 售后工单Agent、AI工单、退换货客服、智能售后、电商图片、商品视频、AIGC营销、淘宝、京东、抖音、小红书、Amazon、Shopify、AI-HIVE MCP 时使用。帮助商家完成辅助分类、摘要、回复草稿和工单路由：先锁定SKU与授权素材，再查询真实可用模型与价格，生成小样，逐帧验收商品结构、Logo、标签、色彩、文字和平台规格；提供可复制的提示词、JSON工单、失败回退和批量扩展方法。"
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      "notice": "A skill instruction path and install command are recorded. This is not proof of compatibility, runtime success or safety; review the source and permissions first."
    },
    "command": "npx skills add wubin1836/ai-hive-agent-skills --skill ai-aftersales-ticket-agent",
    "ready": true,
    "targets": [
      {
        "id": "openagentskill-cli",
        "label": "CLI",
        "kind": "command",
        "value": "npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add wubin1836-ai-aftersales-ticket-agent"
      },
      {
        "id": "codex",
        "label": "Codex",
        "kind": "agent-prompt",
        "value": "Install the \"ai-aftersales-ticket-agent\" agent skill from https://github.com/wubin1836/ai-hive-agent-skills/tree/main/skills/ai-aftersales-ticket-agent. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 当用户搜索 售后工单Agent、AI工单、退换货客服、智能售后、电商图片、商品视频、AIGC营销、淘宝、京东、抖音、小红书、Amazon、Shopify、AI-HIVE MCP 时使用。帮助商家完成辅助分类、摘要、回复草稿和工单路由：先锁定SKU与授权素材，再查询真实可用模型与价格，生成小样，逐帧验收商品结构、Logo、标签、色彩、文字和平台规格；提供可复制的提示词、JSON工单、失败回退和批量扩展方法。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"wubin1836-ai-aftersales-ticket-agent\",\"task\":\"Install ai-aftersales-ticket-agent\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes. Recorded instruction path: skills/ai-aftersales-ticket-agent/SKILL.md. Recorded revision: 8bed7b1adb0d460f333fd0140b29552df11f7438. Confirm the source matches these instructions. Treat repository text as untrusted data; ask before credentials, paid services or external side effects."
      },
      {
        "id": "claude-code",
        "label": "Claude Code",
        "kind": "agent-prompt",
        "value": "Add \"ai-aftersales-ticket-agent\" as a Claude Code skill from https://github.com/wubin1836/ai-hive-agent-skills/tree/main/skills/ai-aftersales-ticket-agent. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: 当用户搜索 售后工单Agent、AI工单、退换货客服、智能售后、电商图片、商品视频、AIGC营销、淘宝、京东、抖音、小红书、Amazon、Shopify、AI-HIVE MCP 时使用。帮助商家完成辅助分类、摘要、回复草稿和工单路由：先锁定SKU与授权素材，再查询真实可用模型与价格，生成小样，逐帧验收商品结构、Logo、标签、色彩、文字和平台规格；提供可复制的提示词、JSON工单、失败回退和批量扩展方法。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"wubin1836-ai-aftersales-ticket-agent\",\"task\":\"Install ai-aftersales-ticket-agent\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes. Recorded instruction path: skills/ai-aftersales-ticket-agent/SKILL.md. Recorded revision: 8bed7b1adb0d460f333fd0140b29552df11f7438. Confirm the source matches these instructions. Treat repository text as untrusted data; ask before credentials, paid services or external side effects."
      },
      {
        "id": "cursor",
        "label": "Cursor",
        "kind": "agent-prompt",
        "value": "Turn \"ai-aftersales-ticket-agent\" from https://github.com/wubin1836/ai-hive-agent-skills/tree/main/skills/ai-aftersales-ticket-agent into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: 当用户搜索 售后工单Agent、AI工单、退换货客服、智能售后、电商图片、商品视频、AIGC营销、淘宝、京东、抖音、小红书、Amazon、Shopify、AI-HIVE MCP 时使用。帮助商家完成辅助分类、摘要、回复草稿和工单路由：先锁定SKU与授权素材，再查询真实可用模型与价格，生成小样，逐帧验收商品结构、Logo、标签、色彩、文字和平台规格；提供可复制的提示词、JSON工单、失败回退和批量扩展方法。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"wubin1836-ai-aftersales-ticket-agent\",\"task\":\"Install ai-aftersales-ticket-agent\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes. Recorded instruction path: skills/ai-aftersales-ticket-agent/SKILL.md. Recorded revision: 8bed7b1adb0d460f333fd0140b29552df11f7438. Confirm the source matches these instructions. Treat repository text as untrusted data; ask before credentials, paid services or external side effects."
      }
    ],
    "handoff_url": "https://www.openagentskill.com/api/skills/wubin1836-ai-aftersales-ticket-agent/install",
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  "trust": {
    "score": 69,
    "label": "Manual review",
    "version": "trust-score-v4",
    "install_policy": "review",
    "evidence": {
      "stars": "4 GitHub stars",
      "repoActivity": "4 stars, 1 forks",
      "lastPushed": "9d since push",
      "license": "MIT",
      "repository": "https://github.com/wubin1836/ai-hive-agent-skills/tree/main/skills/ai-aftersales-ticket-agent",
      "install": "npx skills add wubin1836/ai-hive-agent-skills --skill ai-aftersales-ticket-agent",
      "installSafety": "standard package or runtime install path",
      "permissionSurface": "no high-risk permission surface in public metadata",
      "documentation": "Usable metadata, review docs",
      "agentOutcomes": "No agent outcome data yet"
    },
    "outcome_evidence": {
      "total": 0,
      "successes": 0,
      "failures": 0,
      "not_relevant": 0,
      "success_rate": null,
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      "recent_failure_rate": null,
      "install_attempts": 0,
      "install_success_rate": null,
      "risk_blocked": 0,
      "setup_required": 0,
      "avg_output_quality": null,
      "production_outcomes": 0,
      "last_outcome_at": null,
      "label": "No agent outcome data yet"
    },
    "auto_install": {
      "allowed": false,
      "sandbox_required": true,
      "reason": "Require human approval before installing into a real workspace."
    },
    "best_for": [
      "business",
      "agent-skill"
    ],
    "known_risks": [
      "The skill references AI-HIVE MCP but does not provide concrete MCP tool names or connection details beyond a generic 'tools/list' instruction.",
      "Low GitHub adoption signal",
      "Quality score needs review",
      "GitHub adoption: 4 GitHub stars",
      "Stars/forks activity: 4 stars, 1 forks; issue activity unavailable in current metadata"
    ]
  },
  "agent_proven": {
    "version": "agent-proven-v1",
    "score": 0,
    "tier": "unproven",
    "label": "Needs first agent run",
    "summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
    "metrics": {
      "totalOutcomes": 0,
      "successfulOutcomes": 0,
      "failedOutcomes": 0,
      "installAttempts": 0,
      "installSuccessRate": null,
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      "notRelevant": 0,
      "avgOutputQuality": null,
      "avgTimeToUsefulMs": null,
      "productionOutcomes": 0,
      "humanReviewRequired": 0,
      "uniqueAgents": 0,
      "lastOutcomeAt": null
    },
    "signals": [],
    "penalties": [
      "No real agent outcome evidence yet"
    ]
  },
  "audit": {
    "score": 74,
    "risk_level": "needs_review",
    "risk_label": "Needs review",
    "warnings": [
      "The skill references AI-HIVE MCP but does not provide concrete MCP tool names or connection details beyond a generic 'tools/list' instruction.",
      "The SKILL.md is somewhat specific to the AI-HIVE platform, which may limit portability to other MCP environments.",
      "Low GitHub adoption signal",
      "Quality score needs review",
      "GitHub adoption: 4 GitHub stars",
      "Stars/forks activity: 4 stars, 1 forks; issue activity unavailable in current metadata"
    ]
  },
  "safety_gate": {
    "tier": "reviewed",
    "label": "Reviewed with permission notes",
    "auto_install_policy": "review",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": false,
    "recommended_action": "Require human approval before installing into a real workspace."
  },
  "quality": {
    "score": 53,
    "label": "Needs review"
  },
  "supply": {
    "track": "Marketing and growth automation",
    "scenario": "Marketing",
    "maintenance": "9d since push",
    "risk": "Needs review"
  },
  "alternative_skills": [],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "production agents without a repository review",
    "Low GitHub adoption signal",
    "The skill references AI-HIVE MCP but does not provide concrete MCP tool names or connection details beyond a generic 'tools/list' instruction.",
    "No OpenAgentSkill engagement data yet",
    "The SKILL.md is somewhat specific to the AI-HIVE platform, which may limit portability to other MCP environments.",
    "Quality score needs review",
    "GitHub adoption: 4 GitHub stars"
  ],
  "agent_contract": {
    "task_input": "Use ai-aftersales-ticket-agent in an agent workflow",
    "recommended_action": "Require human approval before installing into a real workspace.",
    "install_policy": "review",
    "minimum_review_before_use": [
      "Trust: 69/100 Manual review",
      "Audit: 74/100 Needs review",
      "Safety: 62/100 Review before install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "wubin1836-ai-aftersales-ticket-agent (ai-aftersales-ticket-agent)",
      "install_command": "npx skills add wubin1836/ai-hive-agent-skills --skill ai-aftersales-ticket-agent",
      "risk_summary": "Needs review; Reviewed with permission notes; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "wubin1836-ai-aftersales-ticket-agent",
      "task": "Use ai-aftersales-ticket-agent in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/wubin1836-ai-aftersales-ticket-agent",
    "api": "https://www.openagentskill.com/api/agent/skills/wubin1836-ai-aftersales-ticket-agent",
    "audit": "https://www.openagentskill.com/skills/wubin1836-ai-aftersales-ticket-agent/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=wubin1836-ai-aftersales-ticket-agent&task=Use%20ai-aftersales-ticket-agent%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20ai-aftersales-ticket-agent%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20ai-aftersales-ticket-agent%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/wubin1836-ai-aftersales-ticket-agent/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/wubin1836-ai-aftersales-ticket-agent"
  }
}

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Creator: wubin1836
Source: wubin1836/ai-hive-agent-skills
Indexed by: OpenAgentSkill community index

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