Xberg is a document-intelligence engine that reads files, URLs, archives, and source trees and extracts text, metadata, images, tables, and structured data, with additional code-language understanding. Developers use it through language bindings, a command-line tool, REST API, or MCP server, and the catalogue entries support those integrations.
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.
git clone --depth 1 https://github.com/xberg-io/xbergWrote 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/commands/xberg-io/xberg/xberg-ocr)<a href="https://agentmods.dev/commands/xberg-io/xberg/xberg-ocr"><img src="https://agentmods.dev/badge/commands/xberg-io/xberg/xberg-ocr/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/commands/xberg-io/xberg/xberg-ocr"><img src="https://agentmods.dev/badge/commands/xberg-io/xberg/xberg-ocr.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 | $0.00005 | $0.00097 |
| Opus 5.5 | $0.00002 | $0.00039 |
| Sonnet 5.5 | $0.00001 | $0.00019 |
| Haiku 4.5 | $0.00001 | $0.00010 |
Grade A, and why
xberg-ocr 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.
What it actually says
OCR this document: $ARGUMENTS
Read the extracting-with-ocr skill. Confirm the document needs OCR and language packs are installed. Use xberg extract <file> --force-ocr=true when forced OCR is appropriate. Preserve paths as separate arguments and report OCR failures.
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 · +5 lines 2f040b2628be
- 4d ago First seen · 8 lines · 5 tokens per session scan A da817e2112c1
xberg-ocr is a command published in the GitHub repository xberg-io/xberg (9,418 stars, last pushed yesterday), licensed MIT. It adds 5 tokens to every session and 97 once invoked, about $0.0000 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 2026-10-12.
Other commands, from other repositories
html-to-markdown-metadata
Extract structured HTML metadata.
index
High performance and CommonMark compliant HTML to Markdown converter. Maintained by the Kreuzberg team. Kreuzberg is a fast, polyglot document intelligence engine with a Rust core. It extracts structured data from 98+ document formats using streaming parsers and built-in OCR.
html-to-markdown-convert
Convert HTML to Markdown.
author-config-workbook
Wraps agents/config-workbook-author/AGENT.md. Compiles the BA's capstone handoff: the 10-section configuration workbook (Org Profile, Objects + Fields, Record Types + Page Layouts, Validation Rules, Permissions + Sharing, Automation, UI + Lightning Pages, Reports + Dashboards, Data Migration, UAT + Cutover) where…
design-knowledge-taxonomy
Wraps agents/knowledge-article-taxonomy-agent/AGENT.md. Produces data category groups, article-type/record-type plan, channel-audience matrix, and (audit) remediation queue.
ppt-image2-editable-rebuild
Rebuild image2 or imagegen reference slides as editable PowerPoint decks.