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 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/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/fuyuxiang/echo-agent/ppt-author"><img src="https://agentmods.dev/badge/skills/fuyuxiang/echo-agent/ppt-author.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 | $0.00022 | $0.00577 |
| Opus 5.5 | $0.00009 | $0.00231 |
| Sonnet 5.5 | $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 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.
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.
- 1mo 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 (1,058 stars, last pushed yesterday), licensed MIT. It adds 22 tokens to every session and 577 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 2026-08-30.
Other skills, from other repositories
agent-state-bar
A design guide for an agent status bar: a short, automatically updated summary of progress, remaining tasks, tool counts, errors, and system state placed near the latest model input.
pptx
A guide for turning a paper, outline, or structured text into a PowerPoint presentation. It covers an 8–12-slide structure, concise slide points, and generation of a .pptx file.
knowledge-org
A guide to organising large bodies of knowledge so an AI system can navigate relationships, summaries, and layers instead of searching only flat text chunks. It covers tree indexes, knowledge graphs, file-like structures, incremental updates, and long-term memory layouts.
context-compression
A guide to shortening the information an agent carries between steps. It explains how to replace large tool outputs and old conversation details with compact, useful summaries while preserving important decisions and constraints.
memory-system
A guide to giving an AI agent persistent, user-specific memory across conversations. It covers what to remember, how to store it, how to update or compress it, and when to use memory instead of a shared knowledge base.
docx
Create, read, edit, review, redline, comment on, merge, audit, render, and verify .docx Word documents, including layout-sensitive and OOXML-level work.