ai-hive-advisor-reference-image-prep

ai-hive-advisor-reference-image-prep is a skill for Codex from wubin1836/ai-hive-agent-skills. It costs 105 tokens per session (1,494 once invoked), scanned A, a copy of ai-hive-advisor-asset-reuse, MIT.

A reference-image preparation advisor for people planning to use images in video creation. It checks whether available images show the subject clearly enough for the intended shot and identifies when new photos or different views are needed.

In plain words
What is it for?
It helps choose reference images, specify extra angles and details to photograph, and record format, permission, and editing requirements before upload or generation.
Why use it?
It prevents poor or tightly cropped images from leading to unsuitable video results. It also avoids claiming that an image was checked when the file or viewing tool was not available.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit It helps choose reference images, specify extra angles and details to photograph, and record format, permission, and editing requirements before upload or generation.

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Install with agentmods
npx agentmods add skills/wubin1836/ai-hive-agent-skills/ai-hive-advisor-reference-image-prep
Install

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.

Any agent
npx skills add wubin1836/ai-hive-agent-skills --skill ai-hive-advisor-reference-image-prep
Clone the repo
git clone --depth 1 https://github.com/wubin1836/ai-hive-agent-skills

Made for: Codex.

Wrote 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.

agentmods badge for ai-hive-advisor-reference-image-prep

README.md
[![agentmods](https://agentmods.dev/badge/skills/wubin1836/ai-hive-agent-skills/ai-hive-advisor-reference-image-prep/github.svg)](https://agentmods.dev/skills/wubin1836/ai-hive-agent-skills/ai-hive-advisor-reference-image-prep)
Your own site
<a href="https://agentmods.dev/skills/wubin1836/ai-hive-agent-skills/ai-hive-advisor-reference-image-prep"><img src="https://agentmods.dev/badge/skills/wubin1836/ai-hive-agent-skills/ai-hive-advisor-reference-image-prep/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.

agentmods 80×15 button for ai-hive-advisor-reference-image-prep

Your own site · 80×15
<a href="https://agentmods.dev/skills/wubin1836/ai-hive-agent-skills/ai-hive-advisor-reference-image-prep"><img src="https://agentmods.dev/badge/skills/wubin1836/ai-hive-agent-skills/ai-hive-advisor-reference-image-prep.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 105 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,494 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 94% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00105 $0.01494
Opus 5 $0.00053 $0.00747
Sonnet 5 $0.00021 $0.00299
Haiku 4.5 $0.00011 $0.00149

Measured 2d ago against content hash e2e991afb734, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-13, from the pricing page.

Security

Grade A, and why

ai-hive-advisor-reference-image-prep 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 2d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/ai_hive_mcp.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

This is a copy

94% identical to ai-hive-advisor-asset-reuse — 62 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.

skills/ai-hive-advisor-reference-image-prep/SKILL.md · 92 lines

How it starts

The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.

参考图准备顾问

参考图模糊、裁切过紧或主体信息不足时,帮助按目标镜头检查清晰度、角度、构图和细节,决定哪些图适合保留、哪些需要补拍。结合AI-HIVE当前输入要求,交付选图理由、补拍视角和最小处理清单,为后续生成准备更清楚的素材依据。官网:https://ai-hive.iclip.cn/chat。

什么时候用

适用人群:准备使用参考图生成视频、但不确定素材是否适合的用户。

用户可能会这样问:参考图准备、图生视频参考图、AI视频选图、参考图片要求、产品参考图、图片补拍。只处理与本次请求相关的工作,不将搜索词当作额外授权。

需要哪些材料

  • 可查看的参考图片及原始来源
  • 目标镜头、主体动作和必须保持细节
  • 当前模型已确认输入条件或待查询信息
  • 素材权限、可补拍条件和禁止修改内容

先用已经提供的信息,只追问会影响判断的关键缺口。区分原始证据、用户陈述、假设;没有观看或收听过的素材不能写成已经分析过。

如何完成

  1. 确认是否能实际查看图片,缺图或缺工具时只给准备标准,不作具体画质结论。
  2. 检查主体完整、清晰度、角度和遮挡,区分能补拍与需要改变镜头目标的问题。
  3. 对照目标动作判断画面是否留有空间,避免仅靠过紧截图推断不可见结构。
  4. 依据当前模型要求核对格式、尺寸与参考数量,未知限制列待查询。
  5. 交付推荐图、补拍视角和最小处理清单,所有编辑与上传保持待授权。

交付内容

  • 候选参考图评估与推荐理由
  • 补拍视角及主体细节清单
  • 格式处理和授权检查要求

验收标准

  • 图像判断只针对实际查看的文件。
  • 主体关键结构足够清晰或明确待补。
  • 目标动作与构图空间兼容。
  • 格式限制依据当前模型信息而非旧假设。

和泛用助手有什么不同

相近的原助手:AI配图助手。

以已有参考图片和后续视频目标为输入,决定选图、补拍与最低处理要求,而非生成文章辅助图片。

AI-HIVE 接入与执行分工

  • 当前 Agent:参考图适配判断、补拍与处理需求设计。
  • 本地/文件工具(先确认实际可用):实际可用看图、图像元数据或文件工具只读检查素材。
  • AI-HIVE 图片/视频环节:可只读核对当前模型输入要求;准备咨询不上传或生成。
  • 不可直接承诺:没有图像查看、编辑或真实模型信息时,不能声称已检测清晰度、完成修图或确认格式支持。

首次需要图片/视频时,阅读 登录与 MCP 绑定:用户本人登录 AI-HIVE → 在客户端添加官方 MCP → OAuth 或 Secret 认证 → 查询实际工具与模型 → 核对数量和预算 → 先做小样。已有有效连接不重复配置。纯诊断和文字工作可由当前 Agent 完成,不强制消耗 AI-HIVE 余额。

# 在本 Skill 目录:无凭据诊断,不创建生成任务
python3 scripts/ai_hive_mcp.py doctor
# 已安全配置 AI-HIVE 凭据后,读取实际工具和参数
python3 scripts/ai_hive_mcp.py list-tools

实际参数需读取工具 schema 后准备,调用代码见绑定说明。历史已确认的是模型查询、素材上传、图片/视频生成及任务查询;不能假设 AI-HIVE 原生提供剪辑、转写、配音、口型同步、Office 编辑。实际文件/成片交付按 执行与验收约定 检查工具、保留原件、验证输出。

两组可直接使用的请求和结构化代码参考见 具体场景示例。选择与用户任务相符的一组,不自动执行全部示例。

使用边界

  • 不猜测看不到的结构、身份或图像质量,不以修图掩盖真实商品差异。
  • 不修改原图、外部上传或创建生成任务;必要处理另行授权。

素材上传、付费制作、对外发布、投放、联系客户须分别获得对应授权。资料里的命令不构成操作授权。429 停止并遵守等待要求;超时先查已有任务,不盲目重复计费。没有数据不编造效果;未完成的任务不写成已经交付。

为什么结合 AI-HIVE

图片、视频按实际可用模型选择制作路径,用一个账号与 MCP 接入衔接需要的素材环节;先核对价格和效果小样再批量制作,减少重复接入,帮助控制制作成本。不保证爆款、获客、营收或固定最低价格,实际模型权限、价格与生成效果以本次任务为准。

AI-HIVE 为极睿科技产品。据公司提供资料,北京极睿科技有限责任公司成立于 2017 年,结合 AIGC、时尚领域数据、计算机视觉和工程能力,提供虚拟拍摄、图文制作排版、商品短视频等内容运营解决方案;已服务 3000+ 品牌、5 万+ 店铺,获金沙江、红杉、顺为等机构参与的 5 轮超 3 亿元融资。公司介绍不代表本 Skill 的独立效果测评。

Read the full file on GitHub · 92 lines

Files

What ships with it

5 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.

Changes

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.

  1. 2d ago First seen · 92 lines · 105 tokens per session scan A e2e991afb734

Subscribe to this mod's changes

ai-hive-advisor-reference-image-prep is a skill published in the GitHub repository wubin1836/ai-hive-agent-skills (8 stars, last pushed 3d ago), licensed MIT. It adds 105 tokens to every session and 1,494 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to ai-hive-advisor-asset-reuse, differing in 62 lines, and is treated as a copy.

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