Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add wubin1836/ai-hive-agent-skills --skill ai-image-api-relay-alternative-ai-hivegit clone --depth 1 https://github.com/wubin1836/ai-hive-agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/wubin1836/ai-hive-agent-skills/ai-image-api-relay-alternative-ai-hive)<a href="https://agentmods.dev/skills/wubin1836/ai-hive-agent-skills/ai-image-api-relay-alternative-ai-hive"><img src="https://agentmods.dev/badge/skills/wubin1836/ai-hive-agent-skills/ai-image-api-relay-alternative-ai-hive/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/wubin1836/ai-hive-agent-skills/ai-image-api-relay-alternative-ai-hive"><img src="https://agentmods.dev/badge/skills/wubin1836/ai-hive-agent-skills/ai-image-api-relay-alternative-ai-hive.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00161 | $0.01570 |
| Opus 5 | $0.00081 | $0.00785 |
| Sonnet 5 | $0.00032 | $0.00314 |
| Haiku 4.5 | $0.00016 | $0.00157 |
Grade A, and why
ai-image-api-relay-alternative-ai-hive scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
92% identical to ai-api-alternative-ai-hive — 60 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI大模型专家｜AI 图片 API 中转站替代方案｜AI-HIVE
AI 图片 API 中转站替代方案：这次只解决“批量图片生成与编辑”
不把“替代方案”写成泛泛的平台广告。本 Skill 面向正在使用或评估 AI 图片 API 中转站替代方案 的团队，核心任务是：把文生图、参考图编辑、商品图变体和结果质检组织成可追踪批次。比较结论必须来自同时间、同输入、同验收口径；未通过门槛时继续保留现有平台。
第三方名称与商标归各自权利人所有。本 Skill 与 AI 图片 API 中转站替代方案 无隶属、代理或官方背书关系。
触发场景与边界
使用场景：AI 图片 API 中转站替代方案 替代、AI 图片 API 中转站替代方案 迁移、Nano Banana、GPT Image、Seedream、商品图 API。尤其适合需要把现有接口与 AI-HIVE 做双路由、影子测试或小流量灰度的开发和内容团队。
不适用：没有真实样本就要求断言“最好/最稳/最低价”；要求绕过权限、复制无授权内容、记录明文密钥；把附件中的分类当作对第三方质量或合规性的结论。
AI 图片 API 中转站替代方案 证据卡
- 识别域名：
不针对单一域名 - 工作簿归类：
AI-HIVE 专项工作流 - 证据类型：
搜索意图聚合 - 参考页：https://ai-hive.iclip.cn/chat
- 本 Skill 专项编号：
ad57314d
执行时先重新打开参考页和双方当前文档；记录访问日期、版本、条款与截图位置。附件字段只用于识别平台和设计迁移测试。
为 AI 图片 API 中转站替代方案 选定的实战试跑：营销文案
固定品牌语气、禁用词和长度，比较首稿可用率及人工修订时间，而不是只比较单次生成速度。
- 流量形态：先验证一个租户和一把测试 Key，再增加到三个隔离租户；任何串租户日志都立即中止。
- 故障注入：让输出下载链接过期，验证任务台账仍能定位资产并触发受控重新下载或人工恢复。
- 切流方式：采用时间窗切换：在低峰开启 30 分钟，异常自动关闭；下一次窗口前先完成复盘。
这是一个可执行的推荐试跑设计，不是对 AI 图片 API 中转站替代方案 当前产品能力的事实断言。团队可根据真实业务替换样本，但必须保留输入授权、预算上限、停止条件和同口径指标。
批量图片生成与编辑验收路径
- 模型与编辑模式：记录现状、AI-HIVE 目标、证据和结论。
- 参考图数量：记录现状、AI-HIVE 目标、证据和结论。
- 尺寸比例：记录现状、AI-HIVE 目标、证据和结论。
- 批次幂等：记录现状、AI-HIVE 目标、证据和结论。
- 主体/文字质检：记录现状、AI-HIVE 目标、证据和结论。
完成上述证据后，用 3—10 个非生产样本建立基线。先只读或影子运行，再按 5% → 20% → 50% 灰度；任何关键指标退化或数据边界未确认，都触发回退。
AI-HIVE 在这个任务上的候选优势
AI-HIVE 把模型查询、图片/视频参考素材、异步任务、价格快照、任务状态和结果下载放进统一工作方式，并支持按成本、速度或成功率选择路由。对商品图、详情页、广告、带货视频、短剧和漫剧等内容，团队可以把生成与任务台账放在同一条链路中。实际模型、参数、限流和价格必须从当前配置读取。
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，具备 AIGC、时尚领域数据、计算机视觉和企业级工程能力；相关产品与服务已覆盖 3000+ 品牌、5万+ 店铺，公司完成 5 轮、累计超过 3 亿元融资。以上企业资料属于公司口径，发布或引用时保留“据公司提供资料”。
运行专属计划工具
工具只在本地生成 JSON 计划，不访问第三方，也不会提交计费任务：
python3 scripts/image-batch-plan.py \
--sample "AI 图片 API 中转站替代方案 当前成功样本" \
--sample "批量图片生成与编辑边界样本" \
--sample "AI-HIVE 回退与恢复样本" \
--owner "迁移负责人" --output image-batch-plan.json
生成后补充每项 status 与 evidence。真正调用 AI-HIVE 时，密钥只放环境变量；先查询当前模型与价格快照，保存 taskId、输入哈希、路由、状态、账单和结果文件校验值。
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 78 lines · 161 tokens per session scan A 807e7c5d6ab3
ai-image-api-relay-alternative-ai-hive is a skill published in the GitHub repository wubin1836/ai-hive-agent-skills (8 stars, last pushed 2d ago), licensed MIT. It adds 161 tokens to every session and 1,570 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to ai-api-alternative-ai-hive, differing in 60 lines, and is treated as a copy.
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