Borrowing it
Nothing to install: this file belongs to iyuenan3/worklog-kit. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/iyuenan3/worklog-kit/main/.agents/skills/worklog-import/SKILL.mdgit 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/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/iyuenan3/worklog-kit/worklog-import"><img src="https://agentmods.dev/badge/skills/iyuenan3/worklog-kit/worklog-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 | $0.00088 | $0.00832 |
| Opus 5.5 | $0.00035 | $0.00333 |
| Sonnet 5.5 | $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 2mo 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.
- 2mo 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 3mo ago), licensed Apache-2.0. It adds 88 tokens to every session and 832 once invoked, about $0.0004 per session on Opus 5.5. 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.
worklog-import compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| worklog-importiyuenan3/worklog-kit | Skill | 11 | 3mo ago | Apache-2.0 | A | 88 | Codex |
| orbit-notionnexu-io/open-design | Skill | 106k | yesterday | Apache-2.0 | A | 117 | Claude Code, Codex |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 35k | 2d ago | Apache-2.0 | A | 123 | Claude Code |
| apify-youtube-transcript-scrapersickn33/agentic-awesome-skills | Skill | 49k | yesterday | MIT | A | 48 | Claude Code |
| legal-holdanthropics/claude-for-legal | Skill | 9.9k | 3d ago | Apache-2.0 | A | 68 | Claude Code |
| ppt-reviewOrkas-AI/Orkas | Skill | 9.0k | yesterday | MIT | A | 2 | Claude Code, Codex |
| feishuHmbown/CodeWhale | Skill | 41k | 5d ago | MIT | A | 33 | Claude Code, Codex |