PixelRAG is a visual search system that renders web pages, PDFs, and images as screenshots, then retrieves information from those images instead of relying only on extracted text. It is designed for retrieval-augmented generation systems and agents that need to understand layouts, tables, charts, and other visual structure. The catalogue entries provide a Claude Code plugin and related instructions for using its visual browsing and retrieval workflow.
Borrowing it
Nothing to install: this file belongs to StarTrail-org/PixelRAG. 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/StarTrail-org/PixelRAG/main/CLAUDE.mdgit clone --depth 1 https://github.com/StarTrail-org/PixelRAGWrote 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/startrail-org/pixelrag/claude-md)<a href="https://agentmods.dev/instructions/startrail-org/pixelrag/claude-md"><img src="https://agentmods.dev/badge/instructions/startrail-org/pixelrag/claude-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/startrail-org/pixelrag/claude-md"><img src="https://agentmods.dev/badge/instructions/startrail-org/pixelrag/claude-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 | $0.00371 | $0.00371 |
| Opus 5.5 | $0.00148 | $0.00148 |
| Sonnet 5.5 | $0.00074 | $0.00074 |
| Haiku 4.5 | $0.00037 | $0.00037 |
Grade A, and why
PixelRAG CLAUDE.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 1mo 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
PixelRAG
Visual RAG: render documents (web pages, PDFs) as screenshot tiles and retrieve over the images
with a Qwen3-VL embedding model. See README.md for the product overview and deploy/README.md
for how it runs in production.
Layout
render/—pixelshotcapture (Playwright/CDP, PDF)embed/,index/— tiles → vectors → FAISS indexserve/— FAISS search API (pixelrag serve)web/— Next.js frontend (on Vercel) +agent-server.mjs(the chat agent backend)train/— separate uv project (LoRA finetune); install from insidetrain/, not the rootdeploy/— systemd units, CD workflow, blue-green scripts
Conventions
- Python:
uvonly (uv add, neveruv pip install); work in.venv; commituv.lock. - One distribution (
pixelrag) with extras; the CLIs arepixelshotandpixelrag <stage>. mainis branch-protected — land changes via PRs.
Operational context (host-specific, kept out of this public repo)
Deploy/runtime details that are specific to the live host are not committed here. They are imported below; the import is a harmless no-op anywhere the file doesn't exist:
@~/.claude/pixelrag-ops.md
If deploy-host notes appeared from that import, you are on the deploy host — production services run there, so operate carefully. If nothing appeared, you're on a normal dev checkout and can ignore deployment concerns.
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.
- 1mo ago First seen · 29 lines · 371 tokens per session scan A 945da17ca768
PixelRAG CLAUDE.md is an instructions file published in the GitHub repository StarTrail-org/PixelRAG (10,305 stars, last pushed 5d ago), licensed Apache-2.0. It adds 371 tokens to every session, about $0.0015 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 2026-08-30.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.