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/TheLobbi/Claude-mWrote 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/plugins/thelobbi/claude-m/azure-document-intelligence)<a href="https://agentmods.dev/plugins/thelobbi/claude-m/azure-document-intelligence"><img src="https://agentmods.dev/badge/plugins/thelobbi/claude-m/azure-document-intelligence.svg" alt="Measured on agentmods" height="20"></a>Grade A, and why
azure-document-intelligence 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 3d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What it installs
The manifest is a name and a version. 1 skill, 5 commands, 1 agent travel with it, and installing the plugin installs all of them — 247 tokens a session between them. Each is measured on its own page, and each can be installed alone.
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.
- 3d ago First seen · 38 lines scan A e84341dfd038
azure-document-intelligence is a plugin published in the GitHub repository TheLobbi/Claude-m (14 stars, last pushed 10d ago), with no licence file. Its token cost is not measured: this kind of file is read by the harness, not the model. 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 plugins, from other repositories
qsv-data-wrangling
Blazingly fast tabular data wrangling with 55 qsv skill-based commands for CSV, TSV, Excel, JSONL, and Parquet files.
ade-document-processing
Agent skill for LandingAI's Agentic Document Extraction (ADE): production-ready document AI with 99%+ accuracy. Parse, extract, and classify documents through the ADE REST APIs or the Python and TypeScript libraries, with full auditability and traceability.
skmtc
Author Skmtc generators — derive application code from an OpenAPI document treated as a domain model.
paddleocr-skills
OCR text recognition and structured document parsing skills powered by PaddleOCR.
mistral-mcp
Mistral AI capabilities for Claude Code: chat, OCR, vision, audio (Voxtral), Codestral FIM, agents, and curated French workflows. Auto-installs the mistral-mcp server from npm.
upstage-ai
Official Upstage AI bundle for Claude Code — Solar models, document processing (OCR, parse, classify, extract), schema generation, Studio agent workflows, multi-API builder for webapps, and the BotMadang community client. One install activates all 9 skills with auto-trigger by description.