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 Meari-Prototype/iftree-editor --skill intelligent-importgit clone --depth 1 https://github.com/Meari-Prototype/iftree-editorWrote 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/meari-prototype/iftree-editor/intelligent-import)<a href="https://agentmods.dev/skills/meari-prototype/iftree-editor/intelligent-import"><img src="https://agentmods.dev/badge/skills/meari-prototype/iftree-editor/intelligent-import/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/meari-prototype/iftree-editor/intelligent-import"><img src="https://agentmods.dev/badge/skills/meari-prototype/iftree-editor/intelligent-import.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 | $0.00110 | $0.02552 |
| Opus 5.5 | $0.00044 | $0.01021 |
| Sonnet 5.5 | $0.00022 | $0.00510 |
| Haiku 4.5 | $0.00011 | $0.00255 |
Grade A, and why
intelligent-import 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
智能导入 / 重整目录 skill
用途
专职整理文档的目录层级结构。在简单导入或完整导入入库后，对已有节点树做结构调整——新建虚拟容器节点叠章节层、调父子边、调兄弟顺序、给虚拟容器补章节名。
本 skill 不重做简单导入已识别的结构——能用正则/AST/格式规范做的事不调用 LLM API（成本约束）。
触发
- 导入流程入口：用户在导入对话框选"智能导入"，简单导入入库后自动触发本 skill；导入流程结束时弹强制审批对话框（接受全部/拒绝全部）。
- 重整目录入口：已导入文档上，用户在 LLM 协作模式对话区发起"用 LLM 重整目录"指令；产物按 15-7 路径进 LLM 对话区待审卡片，按 15-8/15-9 逐条或整批审。
输入
调用方上下文提供：
- 当前文档
docId和treeIndex（每个节点的地址、深度、子节点数、字数） - 当前权限模式（必须为
agent.mode.edit协作模式或更高） - 触发场景（
import-flow或restructure），用于决定审批 UI 走哪条路
输入产物来自完整导入（4-2）——智能导入入库阶段复用完整导入解析，不走简单导入失败拒绝。所以 treeIndex 反映的形态有三种：
- 结构识别成功：节点
1下有章节层、章节下有段落容器（虚拟节点）、段落下有句子节点 - 结构识别失败：节点
1下平铺段落容器（虚拟节点）、段落下有句子节点；无章节层 - 极端兜底：节点
1单节点（全文塞节点 1 正文），无子节点
skill 按需通过 db read <docId> <地址> 拉取节点正文；不拿原始源文件，因为节点已经反映了规则解析的产物。
输出
调用 database_mutation 产生 entry kinds 序列，写入 owner=llm 影子分支。允许的 entry kinds：
| kind | 用途 |
|---|---|
node.insert |
新建虚拟容器节点 |
node.update |
给虚拟容器节点写 node_title 字段 |
node.reparent |
调节点父子边 |
node.moveBefore / node.moveAfter |
调兄弟顺序 |
node.delete |
删除已没有子节点的空虚拟容器 |
其余 entry kinds（node.split、node.mergeInto、axiom.*、ref.* 等）本 skill 不调用。
虚拟容器节点形态（强约束）
新建节点必须严格按 9-1-1 虚拟节点形态：
text为空node_type用TEXT，role标记为容器类型（如paragraph）source_position取该容器所有子节点最早source_position减 0.5（半步偏移避免位置冲突）skipVector为 truenode_title可写（章节名）；node_note留空
未按此形态创建的节点会破坏 9-1 渲染规则，被判定为违规。
职责范围（"该/不该"，非系统级"能/不能"）
skill 做
- 新建虚拟容器节点做分组归类
- 给虚拟容器节点的
node_title写章节名 - 调父子边把散落的同类节点归到一起
- 调兄弟顺序把章节按合理顺序排
- 删除已空的虚拟容器（其子节点全部被移走后）
skill 不涉及
- 正文编辑：
text字段修改归 LLM 系统级编辑能力（别的 skill 或人类编辑模式负责）。本 skill 不动任何节点正文。 - 节点摘要：给真实内容节点（有正文的）写
node_title当摘要属于节点摘要 skill 范围。本 skill 只给虚拟容器写章节名。 - 段落切分/合并：段落容器和句子节点的粒度由
4-2完整导入锁定（智能导入入库走完整导入解析）。本 skill 不动段落正文边界。 - 删带正文的真实内容节点：本 skill 只删自己创建的空虚拟容器。
- 事实前提：
axiom.*全部归9-8单独编辑路径。
工作流
- 读 treeIndex 看当前结构，按上面三种输入产物形态分类。
- 判断是否需要调整——保守原则，不为了"做点什么"而强行调整：
- 结构识别成功 + 章节顺序合理 + 层级合理 → 返回空 entries
- 结构识别成功 + 章节顺序乱（按
source_position序号看不连续）或层级误划 → 重排或调层 - 结构识别失败（节点
1下平铺段落容器）→ 按段落正文聚类，新建章节虚拟容器作为段落容器的父节点 - 极端兜底（节点
1单节点）→ 返回空 entries 并在对话区说明"短文档/单句备忘无需结构化"
- 必要时按
db read拉节点正文 判断聚类——不要一次性拉所有正文，按 treeIndex 字数评估，只读相关节点。 - 决定调整方案，生成 entry 序列。每个 entry 必须可在影子分支投影中合法应用（参考
edit-branch-projection.mjs）。 - 保持节点集合恒等——真实内容节点不增不减，只调关系；只增删虚拟容器。
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.
- 1mo ago First seen · 135 lines · 110 tokens per session scan A 93d5f7720891
intelligent-import is a skill published in the GitHub repository Meari-Prototype/iftree-editor (6 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 110 tokens to every session and 2,552 once invoked, about $0.0004 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 2026-08-31.
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