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 BingHanOfUESTC/open_agent_team --skill document-material-ingestiongit clone --depth 1 https://github.com/BingHanOfUESTC/open_agent_teamWrote 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/binghanofuestc/open_agent_team/document-material-ingestion)<a href="https://agentmods.dev/skills/binghanofuestc/open_agent_team/document-material-ingestion"><img src="https://agentmods.dev/badge/skills/binghanofuestc/open_agent_team/document-material-ingestion.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 5.1 | $0.00000 | $0.00336 |
| Opus 5 | $0.00000 | $0.00168 |
| Sonnet 5 | $0.00000 | $0.00067 |
| Haiku 4.5 | $0.00000 | $0.00034 |
Grade A, and why
document-material-ingestion 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 4d 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
Document Material Ingestion
Use this skill when the team must turn Boss-provided mixed-format documents into PPT-ready facts, arguments, data tables, and source traces.
Inputs
Boss brief
File paths
Target audience
PPT goal
Required slides or topics
Supported Strategy
doc/docx:
Extract heading structure, paragraphs, tables, executive conclusions, definitions.
xls/xlsx/csv:
Extract workbook/sheet names, table ranges, fields, time periods, metrics, units, missing values.
pdf:
Extract page-level text, headings, tables if possible, figure captions, referenced numbers.
ppt/pptx:
If material deck: extract slide titles, body, notes, charts, tables.
If template deck: route to template_decoder_agent and do not use content as source claims.
image files:
Inventory jpg/jpeg/png/webp/bmp/tiff assets with path, apparent topic, dimensions if available and suggested slide use.
txt/md:
Extract headings, lists, tables, quoted blocks, code blocks, links.
Evidence Table Schema
| id | claim_or_data | source_file | location | confidence | suggested_slide_use |
Rules
Keep source position whenever possible.
Preserve units, dates, denominator, geography, sample size and assumptions.
Separate facts from interpretation.
Mark unreadable files explicitly.
Never invent data to fill missing tables.
Output Files
materials/material_inventory.md
materials/evidence_table.md
materials/data_tables.md
materials/images/image_manifest.json when image assets are prepared
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.
- 4d ago First seen · 62 lines · 0 tokens per session scan A c1f3a59d568d
document-material-ingestion is a skill published in the GitHub repository BingHanOfUESTC/open_agent_team (109 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 336 tokens. 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 2026-09-03.
Other skills, from other repositories
doc-reader
Read any common document/data file — PDF, Word (.docx), Excel (.xlsx/.xls), PowerPoint (.pptx), images (OCR), CSV/TSV, plain text, JSON/YAML/TOML, HTML/XML, and most source-code files. Use the readdocument tool.
meta-multi-format-export-pack
From one piece of source content, render four deliverables: .docx report, .pptx slides, .xlsx data, and an HTML/PDF public version.
markdown-converter
Convert binary documents (PDF, DOCX, XLSX, PPTX, HTML, EPUB, images) to clean LLM-friendly Markdown using Microsoft's markitdown Python tool. Use when a user attaches a binary file and you need to read its contents.
pdf-processor
Extracts text and tables from PDF files, fills forms, and merges documents. Use when working with PDF files or when the user mentions PDFs, forms, or document extraction.
xlsx
Instructions for reading, creating, editing, cleaning, and converting spreadsheet files such as XLSX, XLSM, XLS, CSV, and TSV. It covers formulas, formatting, charts, macros, and data types.
A guide for working with PDF files, including reading, extracting content, creating, editing, and checking documents.