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 grasscaograss/AwesomeWeldoneSkills --skill archive-importgit clone --depth 1 https://github.com/grasscaograss/AwesomeWeldoneSkillsWrote 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/grasscaograss/awesomeweldoneskills/archive-import)<a href="https://agentmods.dev/skills/grasscaograss/awesomeweldoneskills/archive-import"><img src="https://agentmods.dev/badge/skills/grasscaograss/awesomeweldoneskills/archive-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/grasscaograss/awesomeweldoneskills/archive-import"><img src="https://agentmods.dev/badge/skills/grasscaograss/awesomeweldoneskills/archive-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 | $0.00073 | $0.01901 |
| Opus 5 | $0.00036 | $0.00950 |
| Sonnet 5 | $0.00015 | $0.00380 |
| Haiku 4.5 | $0.00007 | $0.00190 |
Grade A, and why
archive-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 10d 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 — 206 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Archive Import — 文档导入
Quick start
/archive-import docs/specs/ → records ← spec 文档 → records
/archive-import .zread/wiki/ → knowledge ← wiki 输出 → 知识库
第一个参数:源文档路径(文件或目录)。第二个参数:目标模式(records 或 knowledge)。
两种模式
| 目标 | 处理方式 | 适用场景 |
|---|---|---|
| → records | 格式转换:添加 TL;DR,套用模板,保留内容 | Spec 文档、会议记录、外部报告、一次性文档 |
| → knowledge | 深度整理:重叠分析、领域分组、并行 agent 读写、合并/拆分 | 技术参考资料、wiki 导出、可复用领域知识 |
Records 模式
处理每份文档
- 读取源文档
- 提取:标题、日期(来自文件名或内容)、要点
- 生成 TL;DR 行和关键词标签
- 套用标准 record 模板(参见
/archive-session的模板) - 写入
archive/records/YYYY-MM-DD-<slug>.md
更新 INDEX.md
在 archive/INDEX.md 的 ## Records 下添加每条导入记录,附关键词标签。每行不超过 150 字符。
Knowledge 模式
Knowledge 模式采用三步工作流:分析设计 → 并行写入 → 验证更新。 核心区别在于使用 TaskCreate 为每个领域启动独立 Agent 并行执行,而非串行处理。
领域文件夹参考
archive/knowledge/
├── dual-arm/ ← 双臂系统
├── weld-template/ ← 焊接模板
├── weld-seam/ ← 焊缝规划
├── coarse-positioning/ ← 粗定位
├── scanning/ ← 精定位与扫描
├── capacity/ ← 产能统计
├── weld-tracking/ ← 焊接跟踪
├── coordinate/ ← 坐标与矩阵
├── workflow/ ← 状态机与工作流
├── frontend/ ← 前端界面
├── device-robot/ ← 设备与机器人
├── tools/ ← 工具与其他
第一步:分析源文档,设计领域结构
- 读取所有源文档 — 用 Glob 找到所有文件,逐个 Read
- 提取关键概念、事实、规则、模式 — 从每份文档中抽取出独立的知识单元
- 与现有知识对比重叠 — Read
archive/knowledge/下所有现有文件,标记:- new:全新知识,无重叠
- merge:与现有文件有重叠,需要合并
- skip:已被现有文件完全覆盖
- 按领域分组 — 将知识单元归入上述领域文件夹,确定每个文件的:
- 源文件归属(哪些源文档的内容合并到此文件)
- 与现有知识文件的合并关系
- 向用户展示结构方案 — 输出分组表,等待用户确认:
| 领域文件夹 | 新文件 | 合并到已有文件 | 跳过 |
|-----------|--------|--------------|------|
| dual-arm/ | arc-safety.md | pipeline.md (追加§3) | — |
| scanning/ | laser-calib.md | — | vision.md 已覆盖 |
用户确认后进入第二步。
第二步:创建目录,并行启动 Agent
-
创建目标文件夹(如尚未存在)
-
为每个领域文件夹启动一个独立 Agent(通过 TaskCreate),每个 agent 接收以下信息:
- 领域名称和文件夹路径(如
archive/knowledge/dual-arm/) - 要读取的源文件列表(绝对路径)
- 已有知识文件的迁移需求(如需合并,列出目标文件和合并策略)
- 知识文件格式规范(见下方)
- 合并/拆分指导原则
- 领域名称和文件夹路径(如
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.
- 10d ago First seen · 206 lines · 73 tokens per session scan A f1f2b027a9be
archive-import is a skill published in the GitHub repository grasscaograss/AwesomeWeldoneSkills (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 73 tokens to every session and 1,901 once invoked, about $0.0004 per session on Opus 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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