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 ocr-documentgit 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/ocr-document)<a href="https://agentmods.dev/skills/fuyuxiang/echo-agent/ocr-document"><img src="https://agentmods.dev/badge/skills/fuyuxiang/echo-agent/ocr-document/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/ocr-document"><img src="https://agentmods.dev/badge/skills/fuyuxiang/echo-agent/ocr-document.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 | $0.00027 | $0.00483 |
| Opus 5.5 | $0.00011 | $0.00193 |
| Sonnet 5.5 | $0.00005 | $0.00097 |
| Haiku 4.5 | $0.00003 | $0.00048 |
Grade A, and why
ocr-document 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
OCR & Document Processing
Extract text from PDFs, scanned images, and documents.
PDF Text Extraction (PyMuPDF)
Best choice for text-based PDFs:
pip install pymupdf
import pymupdf
doc = pymupdf.open("file.pdf")
for page in doc:
text = page.get_text()
print(text)
# All pages at once
full_text = "\n".join(page.get_text() for page in doc)
PDF → Markdown (marker-pdf)
High-quality conversion preserving structure:
pip install marker-pdf
marker_single file.pdf output_dir/ --output_format markdown
Image OCR
Surya OCR (Modern ML-based, best for Chinese)
pip install surya-ocr
surya_ocr image.png --langs zh,en
Pytesseract (Traditional, widely available)
# Install Tesseract engine first
brew install tesseract tesseract-lang # macOS
apt install tesseract-ocr tesseract-ocr-chi-sim # Linux
pip install pytesseract Pillow
import pytesseract
from PIL import Image
text = pytesseract.image_to_string(
Image.open("scan.png"),
lang="chi_sim+eng"
)
Script
python3 scripts/extract_document.py document.pdf
python3 scripts/extract_document.py scan.png
python3 scripts/extract_document.py report.pdf --output extracted.txt
Auto-detects format by extension: PDF → pymupdf, DOCX → python-docx, Image → pytesseract.
OCR language is controlled by system Tesseract config (e.g., chi_sim+eng default).
Tips
- For scanned PDFs, extract images first then OCR each page
- Preprocessing (deskew, contrast) improves OCR accuracy
- Chinese OCR: surya-ocr > pytesseract for accuracy
What ships with it
1 file 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 · 87 lines · 27 tokens per session scan A d241da684ed9
ocr-document is a skill published in the GitHub repository fuyuxiang/echo-agent (1,058 stars, last pushed yesterday), licensed MIT. It adds 27 tokens to every session and 483 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
Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as reportlab, pdfplumber, and pypdf for generation and extraction.
slm-media
Save pictures and PDFs in SuperLocalMemory and find them again by describing them. Covers when to save a picture or document, remembermedia, rememberdocument, getmedia, mediastatus and mediauploadlink, how recall returns pictures and PDF pages, the limits, what stays private, turning the feature on with slm media (16…
ingest
Ingest a file or URL into the memory graph. Handles local files (text, PDF, DOCX, XLSX, images, etc.) and URLs (web pages, YouTube, Wikipedia, RSS). Use when the user wants to add any document or web content to their knowledge graph.
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.
A set of instructions for working with PDF files, which are documents designed to preserve their layout across devices.
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.