DeepSeek Harness is an open-source framework for building and running AI agents, organized so that its functionality is provided through plugins. Developers use it to launch agent workflows through a local web interface or from source, while the catalogue add-ons extend the harness as plugins.
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 deepseek-ai/deepseek-harness --skill office-docxgit clone --depth 1 https://github.com/deepseek-ai/deepseek-harnessWrote 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/deepseek-ai/deepseek-harness/office-docx)<a href="https://agentmods.dev/skills/deepseek-ai/deepseek-harness/office-docx"><img src="https://agentmods.dev/badge/skills/deepseek-ai/deepseek-harness/office-docx/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/deepseek-ai/deepseek-harness/office-docx"><img src="https://agentmods.dev/badge/skills/deepseek-ai/deepseek-harness/office-docx.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 | $0.00018 | $0.00716 |
| Opus 5.5 | $0.00007 | $0.00286 |
| Sonnet 5.5 | $0.00004 | $0.00143 |
| Haiku 4.5 | $0.00002 | $0.00072 |
Grade A, and why
office-docx 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 yesterday.
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 — 41 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Word documents
Use python-docx for DOCX creation and ordinary edits. Follow an explicit user or applicable AGENTS.md requirement for a project environment or another library. Otherwise call load_workspace_dependencies and execute the returned Python path with its bundled libraries. Do not install packages or discover a system Python for the default workflow. If the tool is unavailable, use an already configured environment and report a missing dependency only when it prevents the requested operation.
Keep source scripts, intermediate files, and final documents in the task workspace; the runtime and this skill directory are read-only resources. Use the user's requested language and preserve an existing document's design unless a redesign is requested.
Name Python scripts for their task, such as edit_docx.py; avoid module names such as inspect.py, docx.py, or zipfile.py that shadow imported libraries.
Create and edit
For text edits, locate the target by its text or position and inspect only its runs and formatting. A title can be an ordinary paragraph without a Title style or document-property title. Update the relevant runs; assigning paragraph .text destroys run formatting. Save a new file unless an in-place edit is requested. Read other structures only when the edit involves them; rebuilding a document can lose unsupported features.
Use paragraph styles for headings and body text. Size tables for the section that contains them, and account for merged cells and nested tables. Chinese, Japanese, and Korean text may need an explicit w:eastAsia font assignment in addition to run.font.name; font names alone do not establish glyph availability or rendered appearance.
For a new document, use the selected Python executable:
from docx import Document
document = Document()
document.add_heading("Project report", level=0)
document.add_paragraph("Summary", style="Heading 1")
document.add_paragraph("The requested findings go here.")
document.save("report.docx")
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.
- yesterday Changed · -17 lines · -57 tokens per session 5c18a4368834
- 22d ago Changed · +11 lines · +34 tokens per session f8b0d9192c77
- 28d ago First seen · 47 lines · 41 tokens per session scan A 6ffd5866a8b0
office-docx is a skill published in the GitHub repository deepseek-ai/deepseek-harness (250,433 stars, last pushed today), licensed MIT. It adds 18 tokens to every session and 716 once invoked, about $0.0001 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 2026-09-18.
Other skills, from other repositories
manage-taskboard
Manage work in the native DeepSeek Harness Taskboard with exact task ids and optimistic versions. Use when an Agent must inspect project work, claim an eligible todo, record progress or blockers, verify an implementation, submit it for human review, or release its own claim; also use when a human asks how to accept…
industry-research-method
A Chinese-language method for researching an industry by mapping its supply chain, tracking policies and news, and writing sourced reports. It separates the chain into upstream inputs, midstream production, and downstream distribution or use.
company-research-method
A documented process for researching a company using supplied files and selected public sources. It produces a company overview with business details, sourced financial figures, and stated risks.
write-docs-cn
A guide to writing project documentation, especially README files. It explains how tutorials differ from reference material and where each kind of information belongs.
write-tech-cn
A writing guide for Chinese technical documents such as READMEs, tutorials, blogs, and technical explanations. It focuses on direct conclusions, clear actions, natural Chinese, and consistent technical terms.
pptwise
Generate a native, editable PPTX deck from an outline, notes, or source material with the pptwise CLI. Use when the user asks to create a PPT, deck, presentation, or slides and wants a deterministic, editable, theme-consistent result.