Borrowing it
Nothing to install: this file belongs to wb04307201/spring-ai-loom-agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/wb04307201/spring-ai-loom-agent/master/.claude/skills/project-overview-image/SKILL.mdgit clone --depth 1 https://github.com/wb04307201/spring-ai-loom-agentWrote 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/wb04307201/spring-ai-loom-agent/project-overview-image)<a href="https://agentmods.dev/skills/wb04307201/spring-ai-loom-agent/project-overview-image"><img src="https://agentmods.dev/badge/skills/wb04307201/spring-ai-loom-agent/project-overview-image/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/wb04307201/spring-ai-loom-agent/project-overview-image"><img src="https://agentmods.dev/badge/skills/wb04307201/spring-ai-loom-agent/project-overview-image.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00103 | $0.01340 |
| Opus 5 | $0.00051 | $0.00670 |
| Sonnet 5 | $0.00021 | $0.00268 |
| Haiku 4.5 | $0.00010 | $0.00134 |
Grade A, and why
project-overview-image scanned grade A with 1 finding 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 11d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- 输出：URL → curl 下载 → 保存 How it starts
The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
project-overview-image
根据最新的项目代码 / README / CLAUDE.md，自动生成中英文 2 张项目概览图（PNG）覆盖 docs/project-overview-en.png 和 docs/project-overview-zh.png。
流程
-
抽取项目信息
- 读
README.md/CLAUDE.md/ 模块结构（spring-ai-loom-agent 下的*Configuration.java类列表） - 抓取关键信息：
- 项目名：Spring AI LoomAgent
- 一句话定位：Spring Boot AI Agent · Out-of-the-Box Solution
- 核心 4 大功能：Chat UI / Knowledge Base / MCP Tools / Skill Library + Market
- RBAC + 用户类型
- Admin 控制台（sidebar 5 区块）
- 8 个工具组（File 16 / Git 28 / Maven 6 / Compile & Deploy / Time / Skill / Sub-task / Schedule）
- 文件管理
- 数据层（H2 + Flyway 双版本 V1.0 / V1.1）
- 底层栈（Spring Boot 3.x / Spring AI 1.x / JDK 17+ / JVector / JGit）
- 支撑能力（Cookie Session Auth / JDBC ChatMemory / REST API）
- 读
-
构建 prompt（en + zh 双版本）
- 中英除保留专业名（
Spring AI LoomAgent/JVector/JGit/Maven/Tika/SSE/REST API/RBAC/Flyway/ChatMemory等）外，UI 文案 / 描述 / 标签均用对应语言 - 明确要求：不要出现版本号、日期、年份等元数据
- 风格：现代信息图（深色背景 / 霓虹色块 / 卡片式布局），中英风格完全一致
- 中英除保留专业名（
-
调用阿里云百炼 万相 API 生成图
- 模型：
wanx2.1-t2i-turbo（基础）或qwen-image（更好支持中英文）— 用qwen-image - 端点：
https://dashscope.aliyuncs.com/api/v1/services/aigc/text2image/image-generation - Header:
Authorization: Bearer ${DASHSCOPE_API_KEY}（环境变量） - 请求：
{ "model": "qwen-image", "input": {"prompt": "..."}, "parameters": {"size": "1328*1328", "n": 1} } - 输出：URL → curl 下载 → 保存
- 模型：
-
检查图片（必须通过才能结束，否则重试）
- 单图内容检查：
- 包含关键信息（项目名、核心 4 大功能、8 工具组、RBAC / Admin / 数据层 等关键词）
- 无版本号 / 日期 / 年份 / 时间戳
- 中文版含中文字符、英文版含英文词
- 跨图一致性：
- 区块数量和顺序一致（8-10 个主要区块）
- 风格（颜色 / 布局 / 字体大小）一致
- 同一关键术语在两图中都出现
- 用
Read工具 +mcp__MiniMax__understand_image视觉分析 - 失败 → 重新生成（最多 3 次），每次调整 prompt
- 单图内容检查：
文件结构
project-overview-image/
├── SKILL.md # 本文件
├── scripts/
│ ├── generate.py # 调万相 API 生成 2 张图
│ └── check.py # 单图 + 跨图内容/风格检查
├── examples/ # 输出样例（可选）
└── README.md # 用户文档
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.
- 11d ago First seen · 103 lines · 103 tokens per session scan A 75638ddd6c0a
project-overview-image is a skill published in the GitHub repository wb04307201/spring-ai-loom-agent (328 stars, last pushed 10d ago), licensed Apache-2.0. It adds 103 tokens to every session and 1,340 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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