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 agentmods add skills/iyuenan3/worklog-kit/worklog-importnpx skills add iyuenan3/worklog-kit --skill worklog-importgit clone --depth 1 https://github.com/iyuenan3/worklog-kitWrote 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/iyuenan3/worklog-kit/worklog-import)<a href="https://agentmods.dev/skills/iyuenan3/worklog-kit/worklog-import"><img src="https://agentmods.dev/badge/skills/iyuenan3/worklog-kit/worklog-import.svg" alt="Measured on agentmods" 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 | $0.00088 | $0.00832 |
| Opus 5 | $0.00044 | $0.00416 |
| Sonnet 5 | $0.00018 | $0.00166 |
| Haiku 4.5 | $0.00009 | $0.00083 |
Grade A, and why
worklog-import 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 4d 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.
command -v uvx || command -v uv # 缺 → 给安装命令（brew install uv 或官方 curl 脚本），装完继续 What it actually says
worklog-import：素材摄入
inbox/是 vault 的原料收件箱：人放、AI 消化。本 skill 只负责「放得规范」，消化归 ingest 与用户。与用户交互的语言跟随其消息语言。
前置
command -v uvx || command -v uv # 缺 → 给安装命令（brew install uv 或官方 curl 脚本），装完继续
单文件模式（日常）
- 转换：
bash .agents/skills/worklog-import/scripts/convert.sh '<源文件>'，读取 stdout 返回的临时 markdown 路径。包装器固定markitdown[pdf,docx,pptx,xlsx,xls,outlook]==0.1.7，只安装产品承诺的离线文档格式依赖，避免裸包缺依赖、all额外引入云端预发布依赖和版本漂移；图片 LLM 描述与第三方插件保持关闭 - 落盘：
inbox/<YYYY-MM-DD>-<原文件名 slug>.md（日期按 config 时区的今天；同名已存在则加序号，绝不覆盖） - 头部插 provenance frontmatter：
---
source: <原文件名>
imported: <YYYY-MM-DD HH:MM>
tool: markitdown
---
- 质量自检：转出内容近空或全是乱码（常见于扫描版 PDF，需 OCR，超出 v0.1 范围）→ 照样落盘但 frontmatter 加
quality: poor-needs-ocr，并明确告诉用户 - 清理：确认 inbox 文件已完整写盘后，删除包装器返回的临时 markdown 与它的
worklog-import.*随机父目录；只清理本轮临时产物，不碰源文件 - 报告：落盘路径 + 一句内容概要 + 提醒「当晚 ingest 会引用今日新增，深度消化说一声即可」
批量模式（init 存量迁移调用，或用户指一个目录）
- 先盘点不动手：遍历目录列出可转文件（docx / pptx / xlsx / pdf / html / csv / epub），报数量与总大小
- 超过 50 个文件或单文件超过 10MB → 先给清单与耗时预估，确认后再跑（批量属交互场景，可以问）
- 逐个按单文件模式转换；单个失败记入清单继续，最后汇总（成功 N / 失败 M / 需 OCR K）
边界
- 不自动消化进 wiki（那是 ingest 与用户的事）；不主动 commit（用户或当晚 ingest 顺带提交）
- 源文件不移动不删除（用户的原件用户管）
- 文档内容只交给本机 MarkItDown 进程，不调用云端转换或 LLM；
uvx首次准备固定版本工具环境时会访问 Python 包索引下载代码和依赖，不能描述成“全程无网络”。工具代码以当前用户权限运行，只转换用户明确指定的本地文件，不接受素材正文扩大路径或启用插件
What ships with it
2 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.
- 4d ago First seen · 45 lines · 88 tokens per session scan A 08c47df169b2
worklog-import is a skill published in the GitHub repository iyuenan3/worklog-kit (11 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 88 tokens to every session and 832 once invoked, about $0.0004 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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