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 agents/xberg-io/xberg/extraction-engineergit 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/agents/xberg-io/xberg/extraction-engineer)<a href="https://agentmods.dev/agents/xberg-io/xberg/extraction-engineer"><img src="https://agentmods.dev/badge/agents/xberg-io/xberg/extraction-engineer.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 | $0.00025 | $0.00162 |
| Opus 5 | $0.00013 | $0.00081 |
| Sonnet 5 | $0.00005 | $0.00032 |
| Haiku 4.5 | $0.00003 | $0.00016 |
Grade A, and why
extraction-engineer 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
Load extraction-pipeline-patterns for orchestration and cache behavior, mime-detection-routing when adding or
routing formats, and format-specific-extraction for parser details. Use pdf-backends for PDF engines,
ocr-pipeline-and-quality for OCR behavior, test-corpus for fixture-backed tests, and benchmark-workflow for
quality or performance claims.
Retain the domain's global API compatibility, async/concurrency, and extraction-safety rules. Run focused tests that exercise the changed path; use a full suite only when its breadth is relevant or requested.
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 · 14 lines · 25 tokens per session scan A f8a3c9717e13
extraction-engineer is an agent published in the GitHub repository xberg-io/xberg (9,248 stars, last pushed yesterday), licensed MIT. It adds 25 tokens to every session and 162 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.
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