Echo Agent is a self-hosted, long-running AI agent that connects language models, tools, memory, permissions, and messaging channels in one system. Individuals and teams use it for private automation that retains context across sessions, develops skills, schedules tasks, and requires approval for high-risk actions.
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/fuyuxiang/echo-agent/ppt-authornpx skills add fuyuxiang/echo-agent --skill ppt-authorgit clone --depth 1 https://github.com/fuyuxiang/echo-agentWrote 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/fuyuxiang/echo-agent/ppt-author)<a href="https://agentmods.dev/skills/fuyuxiang/echo-agent/ppt-author"><img src="https://agentmods.dev/badge/skills/fuyuxiang/echo-agent/ppt-author.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 | $0.00022 | $0.00577 |
| Opus 5 | $0.00011 | $0.00289 |
| Sonnet 5 | $0.00004 | $0.00115 |
| Haiku 4.5 | $0.00002 | $0.00058 |
Grade A, and why
ppt-author 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 5d 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.
What it actually says
PPT Author
Generate PowerPoint presentations from structured content.
生成专业演示文稿前必读
生成正式 PPT 前,必须先用 skill_view 读取本技能的 references/design-guide.md,
并严格按其中的配色、版式、排版、页数节奏规范执行。该文件含可直接仿写的完整代码样例。
Install
pip install python-pptx
Quick Start
from pptx import Presentation
from pptx.util import Inches, Pt
prs = Presentation()
# Title slide
slide = prs.slides.add_slide(prs.slide_layouts[0])
slide.shapes.title.text = "项目汇报"
slide.placeholders[1].text = "2026年6月"
# Content slide
slide = prs.slides.add_slide(prs.slide_layouts[1])
slide.shapes.title.text = "核心指标"
body = slide.placeholders[1]
body.text = "月活用户: 100万\n收入增长: 25%\n客户满意度: 4.8/5"
prs.save("report.pptx")
Markdown → Slides
Input format:
# Presentation Title
subtitle: 2026-06-13
## Slide Title
- Bullet point 1
- Bullet point 2
- Bullet point 3
## Data Slide
| Metric | Value |
|--------|-------|
| Users | 100K |
| Revenue| $1M |
Script
python3 scripts/create_pptx.py from-md outline.md --output presentation.pptx
python3 scripts/create_pptx.py quick "Project Update" --slides "Background" "Progress" "Next Steps" --output deck.pptx
Slide Types
- Title (layout 0): Title + subtitle
- Content (layout 1): Title + bullet points
- Two Column (layout 3): Side-by-side comparison
- Blank (layout 6): For custom images/charts
Chinese Font Support
from pptx.util import Pt
from pptx.dml.color import RGBColor
for paragraph in body.paragraphs:
for run in paragraph.runs:
run.font.name = '微软雅黑'
run.font.size = Pt(18)
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.
- 5d ago First seen · 93 lines · 22 tokens per session scan A c8dd0de6f9d0
ppt-author is a skill published in the GitHub repository fuyuxiang/echo-agent (1,053 stars, last pushed 3d ago), licensed MIT. It adds 22 tokens to every session and 577 once invoked, about $0.0001 per session on Opus 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
pptx
从论文、大纲或结构化文本生成 PowerPoint (.pptx) 演示文稿。Use when 用户需要把一篇论文/文章/大纲做成幻灯片、slides、演示文稿、PPT、deck。Don't use when 只需纯文本总结、生成 Word/PDF、或修改已有 pptx 的单个像素级样式。.
mindos-zh
MindOS 是用户的本地知识助手，也是跨会话、跨 Agent 共享的知识库。它保存决策记录、会议纪要、SOP、 排错经验、架构选型、调研结论和偏好设置。 仅 mindRoot 知识库内任务。不用于：改代码仓库、项目源码、KB 外路径。 核心概念：空间、指令(INSTRUCTION.md)、技能(SKILL.md)；笔记可承载指令与技能。 触发场景：保存或记录任何内容、搜索历史笔记或上下文、更新或编辑文件、整理或重组文件结构、 执行SOP或工作流、捕获对话中的决策、复盘或总结经验、追加表格或CSV数据、跨Agent交接上下文、 提炼经验教训、同步关联文档、查找之前是否讨论过某事、查询历史决策、查找模板或SOP、…
llm-wiki
Build and maintain a persistent knowledge base (LLM Wiki) using native backend tools. Supports ingesting PDFs, Markdown, and TXT files, and querying or linting the data. Use this whenever the user wants to add, retrieve, or manage their own local knowledge base and documents.
openlore
Query and publish to an OpenLore knowledge base over SSH using ordinary shell commands. Use when a task needs project documentation, runbooks, shared team knowledge, or a place to publish findings.
openlore-housekeeping
Audit and maintain a shared OpenLore knowledge base. Use on a schedule or on request to find stale docs, broken links, unreviewed inbox items, and missing skill coverage, then publish an audit report.
ppt-generation
Generate PPTX presentations from slide plan + content.