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 seed-forge/harness-ai-kit --skill work-markitdowngit clone --depth 1 https://github.com/seed-forge/harness-ai-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/seed-forge/harness-ai-kit/work-markitdown)<a href="https://agentmods.dev/skills/seed-forge/harness-ai-kit/work-markitdown"><img src="https://agentmods.dev/badge/skills/seed-forge/harness-ai-kit/work-markitdown/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/seed-forge/harness-ai-kit/work-markitdown"><img src="https://agentmods.dev/badge/skills/seed-forge/harness-ai-kit/work-markitdown.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00093 | $0.01247 |
| Opus 5.5 | $0.00037 | $0.00499 |
| Sonnet 5.5 | $0.00019 | $0.00249 |
| Haiku 4.5 | $0.00009 | $0.00125 |
Grade A, and why
work-markitdown 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 — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
work-markitdown
用途
作为 work 命名空间的通用 Inflow 基座，提供 15+ 种文件格式到 Markdown 的统一转换入口。
本技能 extends 上游 markitdown 社区技能，不重新实现转换逻辑，而是：
- 补充本地环境已验证的稳定调用方式
- 定义与 work-* 编排层其他技能的协作约定
- 提供批量转换和质量校验工作流
依赖
- extends:
markitdown（社区上游，负责实际格式转换） - 被依赖:
work-export、work-convert、work-dispatcher、work-sc-*场景技能
适用场景
- 把
docx、pdf、pptx、xlsx转成 markdown - 批量把资料文件夹转换成更适合 LLM 处理的文本格式
- 在 Obsidian 知识库项目里落地文档转写结果
- 为下游
work-export（导出）或work-sc-*（场景）提供 Inflow 输入
不适用场景
- 需要保留格式精确排版的导出 → 用
work-export - 文件格式互转（docx→pdf）→ 用
work-convert - 对 Word/PDF 做精细编辑 → 直接调用社区上游
docx/pdf技能
本地环境适配
稳定调用方式
优先使用本地包装命令：
.\.agents\tools\markitdown.cmd input.docx -o output.md
回退方式：
python -m markitdown input.docx -o output.md
已验证依赖
不建议 pip install "markitdown[all]"（实测可能回退主包版本）。推荐：
python -m pip install --upgrade markitdown>=0.1.5
python -m pip install openpyxl pandas pydub python-pptx pdfminer-six pdfplumber mammoth xlrd
如需 Azure / OpenAI 增强能力，各自配置凭证。
支持格式
| 格式 | 说明 | 质量 |
|---|---|---|
| 文本提取 | 良好（扫描件需 OCR） | |
| DOCX | Word 文档 | 良好（表格/格式保留） |
| PPTX | PowerPoint | 良好（含备注） |
| XLSX | Excel | 良好（表格数据） |
| Images | JPEG/PNG/GIF/WebP | EXIF + OCR |
| Audio | WAV/MP3 | 元数据 + 转写 |
| HTML | 网页 | 清洁转换 |
| CSV/JSON/XML | 结构化数据 | 表格/结构化 |
| ZIP | 归档 | 迭代内容 |
| EPUB | 电子书 | 全文提取 |
工作流
单文件转换
- 确认源文件存在
- 执行转换，输出到新文件名（如
*.markitdown.md），避免覆盖已有.md - 抽查文件头部，确认非空
- 如需 Obsidian 使用，做 markdown 清洗
批量转换
Get-ChildItem -Path "资料目录" -Include *.docx,*.pdf,*.pptx,*.xlsx -Recurse | ForEach-Object {
$outName = $_.FullName -replace '\.[^.]+$', '.markitdown.md'
python -m markitdown $_.FullName -o $outName
Write-Host "Converted: $($_.Name) -> $outName"
}
质量校验
转换后检查：
- 文件非空且行数 > 5
- 无明显乱码或截断
- 表格数据完整（如有）
与 work 生态的协作
源文件 (docx/pdf/pptx/xlsx/...)
│
▼
work-markitdown (本技能：文件→MD)
│
├─→ work-export (MD→目标格式导出)
├─→ work-sc-patent-docx-exporter (MD→专利文档)
└─→ 直接交付 (知识库/Obsidian)
What ships with it
3 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.
- 1mo ago First seen · 133 lines · 93 tokens per session scan A f233615cd5a7
work-markitdown is a skill published in the GitHub repository seed-forge/harness-ai-kit (25 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 93 tokens to every session and 1,247 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 2026-08-30.
Other skills, from other repositories
liteparse
Parse local document files into LLM-ready content on the daemon itself — PDFs → Markdown / structured JSON (with bounding boxes) / page screenshots via the bundled lit CLI. PDF works out of the box, offline, zero external deps (Tesseract + PDFium are bundled): digital PDFs use a near-instant native text path…
google-apps-script
Build Google Apps Script automation for Sheets and Workspace. Custom menus, triggers (onEdit / time-driven / form submit), dialogs, sidebars, email batches, PDF export, external API. Use whenever the user wants to automate a Google Sheet, build a Sheets menu / sidebar / dialog, hit a Sheets row from email or a…
historical-data-manager
Extract, clean, and organize legacy construction data from archives. Migrate historical project data, cost records, and schedules into modern formats.
pdf-report-generator
Automatically generate PDF reports from construction data. Create formatted project reports with charts and tables.
cwicr-report-generator
Generate professional cost estimation reports from CWICR calculations. HTML, PDF, Excel outputs with charts and breakdowns.
antinet-doc-parse
A document-processing skill for building RAG systems, which let an AI search a knowledge base before answering. It handles complex PDF, Word, and Excel files and produces structured Markdown and metadata.