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 lovstudio/skills --skill better-project-structuregit clone --depth 1 https://github.com/lovstudio/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/lovstudio/skills/better-project-structure)<a href="https://agentmods.dev/skills/lovstudio/skills/better-project-structure"><img src="https://agentmods.dev/badge/skills/lovstudio/skills/better-project-structure/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/lovstudio/skills/better-project-structure"><img src="https://agentmods.dev/badge/skills/lovstudio/skills/better-project-structure.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 | $0.00040 | $0.00832 |
| Opus 5.5 | $0.00016 | $0.00333 |
| Sonnet 5.5 | $0.00008 | $0.00166 |
| Haiku 4.5 | $0.00004 | $0.00083 |
Grade A, and why
lov-better-project-structure 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 24d 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.
What it actually says
项目整理师 · Project Organizer
分析任意语言项目的目录职责并渐进调整文件结构和引用。
Triggers
Activate when
- “分析任意语言项目的目录职责并渐进调整文件结构和引用。”
- “Improve a project directory structure.”
Do not activate when
- 只是查询本 Skill 的说明，或请求与上述结果无关的任务；不执行实际业务操作。
- 用户仅要预览或审查时，不进入修改、提交或发布分支。
Execution boundary
自然语言请求即可触发；无需旧 slash 路径、参数插值或指定助手。明确解析当前请求中的 项目、目标文件、选项与输出位置；用当前宿主实际提供的文件、搜索、CLI 和浏览器能力。 项目依赖版本与外部 API 在执行时核实，不能假设示例是现行配置。随包脚本从 Skill 根解析， 业务文件从目标项目根解析。先读当前状态，保护已有未提交内容与其他任务的暂存区。 分析、预览请求保持只读；修改、提交、推送、部署和发布各依当前请求的明确范围执行。 不绕过保护、自动发送消息、强制结束用户进程或抢前台。失败保留可诊断原始错误。
Workflow
-
读取 manifest、入口、构建配置、测试与 Git 状态，识别语言、框架、单包或 monorepo。项目现有约定优先，不按固定文件数或目录深度判定质量。
-
建立文件职责与依赖图，定位混合职责、重复结构、命名冲突和散落的测试。给出最小迁移映射，支持 minimal、verbose 与仅分析模式。
-
先处理低耦合移动，再模块化；同时更新 import、构建路径、测试发现、文档和资源引用。已有 .projectstructure.yaml 只作为用户配置读取，不把示例伪代码当作已实现工具。
-
清理前区分源码、构建产物、缓存和用户备份，删除需明确范围，优先可恢复归档；不因文件被忽略就删除 node_modules 或运行中目录。
-
运行实际构建与相关测试，逐项回读引用，输出新目录、修改清单与可恢复路径；不虚构健康分、交互界面或性能收益。
Composition
执行前读取 能力组合，按明确制品交接相邻能力。
Runtime context (shared)
运行前读取本包 skill.yaml 与 Profile 合同。优先级为当前请求、
项目上下文、本 Skill records、共享 preferences、brand/user Profile、安全默认值。
只读取声明字段；没有专用运行时的宿主可使用 scripts/profile_store.py 读取共享 Profile。
配置缺失只问影响结果的一个问题。用户明确要求长期保存的值通过该脚本原子写入，
报告实际路径；不保存推断、凭据或其他任务的资料。
What ships with it
12 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.
- cases/cases.json 653 B
- CHANGELOG.md 401 B
- LICENSE 1.0 KB
- pricing-card.yaml 425 B
- README.md 1.1 KB
- references/skill-composition.md 855 B
- references/user-profile.md 2.7 KB
- scripts/profile_store.py 8.3 KB runs code
- scripts/validate_skill.py 26 KB runs code
- skill-card.md 1.1 KB
- skill-card.yaml 1.5 KB
- skill.yaml 2.3 KB
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.
- 24d ago Changed 574501892d85
- 1mo ago First seen · 67 lines · 40 tokens per session scan A f0cc5485da45
lov-better-project-structure is a skill published in the GitHub repository lovstudio/skills (72 stars, last pushed 6d ago), licensed MIT. It adds 40 tokens to every session and 832 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-07.
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