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 archivegit 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)<a href="https://agentmods.dev/skills/grasscaograss/awesomeweldoneskills/archive"><img src="https://agentmods.dev/badge/skills/grasscaograss/awesomeweldoneskills/archive/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"><img src="https://agentmods.dev/badge/skills/grasscaograss/awesomeweldoneskills/archive.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 | $0.00059 | $0.01285 |
| Opus 5 | $0.00030 | $0.00642 |
| Sonnet 5 | $0.00012 | $0.00257 |
| Haiku 4.5 | $0.00006 | $0.00128 |
Grade A, and why
archive 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 9d 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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Archive — 项目知识库查询
知识库结构
所有路径相对于项目根目录：
| 路径 | 内容 | 查询方式 |
|---|---|---|
archive/INDEX.md |
全局索引，含关键词标签 | 关键词匹配、领域浏览入口 |
archive/CONTEXT.md |
领域术语表、关系图、歧义标注 | 术语查询 |
archive/records/ |
按日期的会话记录 | 时间范围检索 |
archive/knowledge/ |
领域知识，按子文件夹分类 | 领域浏览 |
docs/adr/ |
架构决策记录 | 关键词匹配 |
archive/reviews/ |
月度/年度回顾 | 关键词匹配 |
领域子文件夹一览（archive/knowledge/ 下）：
dual-arm/ weld-template/ weld-seam/ coarse-positioning/ scanning/ capacity/ weld-tracking/ coordinate/ workflow/ frontend/ device-robot/ tools/
查询入口
根据用户的提问方式，选择合适的入口：
1. 关键词搜索
用户问一个具体问题，如"过渡段是怎么规划的"。
- 读
archive/INDEX.md，用反引号内的关键词标签匹配用户提问 - 短列匹配到的文档，读其 TL;DR（标题下方的一句话摘要）
- 仅对 TL;DR 确认相关的文档读全文
- 引用路径 + 相关章节回答
2. 领域浏览
用户想了解某个领域的全局，如"扫描相关有什么"、"焊缝规划有哪些知识"。
- 从
archive/INDEX.md找到对应领域小节（如### scanning/） - 列出该领域下所有文件的名称和一句话摘要
- 问用户是否需要展开某个文件
领域关键词到文件夹的常见映射：
| 用户可能说的 | 文件夹 |
|---|---|
| 双臂、协同、Leader/Follower | dual-arm/ |
| 焊接模板、匹配规则、模板编辑 | weld-template/ |
| 焊缝、规划、后处理、几何类型 | weld-seam/ |
| 粗定位、视觉校正、龙门补偿 | coarse-positioning/ |
| 扫描、精定位、拍照点、VCM | scanning/ |
| 产能、统计、清枪计数 | capacity/ |
| 焊接跟踪、传感器 | weld-tracking/ |
| 坐标、矩阵、标定、phantom-type | coordinate/ |
| 状态机、工作流、持久化、PoseRole | workflow/ |
| 前端、Blazor、React、UI 组件 | frontend/ |
| 设备、机器人、Fanuc、FTP | device-robot/ |
| CLI、工具、几何参数 | tools/ |
3. 术语查询
用户问一个具体术语，如"PoseRole 是什么"、"WorldCoord 和 RobotCoord 有什么区别"。
- 读
archive/CONTEXT.md - 找到匹配的
###术语条目，返回定义 - 检查
_Avoid_标注，如有则提醒用户避免使用弃用术语 - 如有关系链（
## Relationships小节），补充关联术语
4. Records 时间线检索
用户问时间段相关，如"最近一周做了什么"、"5 月 23 号改了什么"。
- 读
archive/INDEX.md的## Records小节 - 按日期筛选匹配范围的条目
- 列出日期 + 文件名 + 关键词标签 + 一句话摘要
- 问用户是否需要展开某条记录的全文
Records 文件名格式：YYYY-MM-DD-kebab-case-slug.md
5. 混合查询
用户的问题可能跨多个入口，按需组合。例如"扫描精定位最近改了什么" = 领域浏览(scanning/) + 时间线检索(records/)。
渐进式披露原则
不论用哪个入口，都遵循"先轻后重"：
- INDEX 扫描 — 只读
archive/INDEX.md中的关键词和摘要 - TL;DR 确认 — 读候选文档的标题 + 摘要行，排除误匹配
- 全文展开 — 仅对确认相关的文档读全文
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.
- 9d ago First seen · 105 lines · 59 tokens per session scan A 47aaa837a146
archive is a skill published in the GitHub repository grasscaograss/AwesomeWeldoneSkills (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 59 tokens to every session and 1,285 once invoked, about $0.0003 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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