Borrowing it
Nothing to install: this file belongs to Veedubin/Videre-MCP. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Veedubin/Videre-MCP/main/AGENTS.mdgit clone --depth 1 https://github.com/Veedubin/Videre-MCPWrote 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/instructions/veedubin/videre-mcp/agents-md)<a href="https://agentmods.dev/instructions/veedubin/videre-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/veedubin/videre-mcp/agents-md/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/instructions/veedubin/videre-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/veedubin/videre-mcp/agents-md.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 | $0.02150 | $0.02150 |
| Opus 5.5 | $0.00860 | $0.00860 |
| Sonnet 5.5 | $0.00430 | $0.00430 |
| Haiku 4.5 | $0.00215 | $0.00215 |
Grade A, and why
Videre-MCP AGENTS.md 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 217 lines — stays where its author put it; the contents beside it link to each section on GitHub.
videre-mcp Agent Guide
What videre-mcp Does
videre-mcp is an MCP server that lets text-only coding models see images. It loads a local Florence-2 vision model and exposes six tools that convert images, SVGs, and screenshots into structured text descriptions.
Screenshot → videre-mcp (Florence-2) → Text description → Your coding model
Your coding model doesn't need vision capabilities — videre-mcp handles the vision part and returns plain text.
When to Use Each Tool
| Tool | Use When | Don't Use When |
|---|---|---|
describe_image |
You need to know what's in a photo, diagram, or illustration | You need text extraction (use ocr_image) |
ocr_image |
You need to extract text from an image (code screenshots, documents, error messages) | You need to understand UI layout (use describe_screenshot) |
describe_screenshot |
You need to understand a UI layout — what buttons, fields, panels are on screen and where | You need a general description of a photo |
take_screenshot |
You need to see what's currently on screen AND understand it | You already have a screenshot file |
ocr_paddle |
You need high-accuracy OCR for multi-language documents | You need simple English OCR (use ocr_image) |
parse_document |
You need to extract structured content from PDF/DOCX/PPTX | You need to describe an image (use describe_image) |
Tool Reference
describe_image(image_path, detail_level="normal", model_mode="fast")
Returns a natural language description of the image contents.
detail_level="normal"→ brief caption (e.g. "A white dog sitting on a couch")detail_level="high"→ detailed description (e.g. "A small white dog with floppy ears sitting on a brown leather couch in a sunlit living room...")
Return format:
{
"description": "...",
"model": "Florence-2-base",
"prompt_used": "<DETAILED_CAPTION>"
}
ocr_image(image_path, detail_level="normal", model_mode="fast")
Extracts text from an image.
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.
- 2mo ago First seen · 217 lines · 2,150 tokens per session scan A 95ef6950f89e
Videre-MCP AGENTS.md is an instructions file published in the GitHub repository Veedubin/Videre-MCP (0 stars, last pushed 2mo ago), licensed MIT. It adds 2,150 tokens to every session, about $0.0086 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 2026-08-31.
Videre-MCP AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| Videre-MCP AGENTS.mdVeedubin/Videre-MCP | Instructions file | 0 | 2mo ago | MIT | A | 2,150 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| vscode model-prompts.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 2,022 | GitHub Copilot |