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-pptxgit 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-pptx)<a href="https://agentmods.dev/skills/deepseek-ai/deepseek-harness/office-pptx"><img src="https://agentmods.dev/badge/skills/deepseek-ai/deepseek-harness/office-pptx/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-pptx"><img src="https://agentmods.dev/badge/skills/deepseek-ai/deepseek-harness/office-pptx.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 | $0.00020 | $0.00945 |
| Opus 5.5 | $0.00008 | $0.00378 |
| Sonnet 5.5 | $0.00004 | $0.00189 |
| Haiku 4.5 | $0.00002 | $0.00094 |
Grade A, and why
office-pptx 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PowerPoint presentations
Follow an explicit user or applicable AGENTS.md requirement for an environment or library. Otherwise call load_workspace_dependencies and use its Python executable and bundled presentation libraries. Do not install npm or pip packages or locate a system interpreter 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 scripts and output files in the task workspace. The runtime and skill directory contain shared read-only resources. Match the requested slide language and the supplied presentation's design when editing it.
Name Python scripts for their task, such as edit_pptx.py; avoid module names such as inspect.py, pptx.py, or zipfile.py that shadow imported libraries.
Create and edit
Use python-pptx to inspect or modify an existing presentation. Inspect slide layouts, text runs, images, tables, and charts before editing. Change only the requested content, preserve mixed text formatting, and save to a new file unless the user requests an in-place edit. Rebuilding slides can discard unsupported animation, SmartArt, or other extension content.
For a new deck, use python-pptx with editable text, tables, and charts. Use local image assets rather than network-dependent image URLs. Set slide dimensions, text sizes, and chart data explicitly.
A minimal editable deck, run with the selected Python executable:
from pptx import Presentation
from pptx.chart.data import CategoryChartData
from pptx.enum.chart import XL_CHART_TYPE
from pptx.util import Inches, Pt
presentation = Presentation()
presentation.slide_width = Inches(13.333)
presentation.slide_height = Inches(7.5)
slide = presentation.slides.add_slide(presentation.slide_layouts[6])
title = slide.shapes.add_textbox(Inches(0.6), Inches(0.4), Inches(12), Inches(0.8))
run = title.text_frame.paragraphs[0].add_run()
run.text = "Quarterly report"
run.font.size = Pt(30)
data = CategoryChartData()
data.categories = ["Q1", "Q2"]
data.add_series("Revenue", [12, 18])
slide.shapes.add_chart(XL_CHART_TYPE.COLUMN_CLUSTERED,
Inches(0.8), Inches(1.6), Inches(11.5), Inches(4.8), data)
presentation.save("report.pptx")
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 · -59 tokens per session 3d2f09443f4a
- 22d ago Changed · +11 lines · +34 tokens per session 2950fde44158
- 28d ago First seen · 71 lines · 45 tokens per session scan A 56c3eb3a6e1a
office-pptx is a skill published in the GitHub repository deepseek-ai/deepseek-harness (250,433 stars, last pushed today), licensed MIT. It adds 20 tokens to every session and 945 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.