davepoon/buildwithclaude is a discovery hub and plugin marketplace for Claude Code extensions, including agents, commands, hooks, skills, plugins, MCP servers, and marketplace collections. Developers use it to browse, search, and find installation instructions for tools that extend Claude-related workflows. Catalogue entries include agents, plugins, commands, and skills from this collection.
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/davepoon/buildwithclaudeWrote 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/davepoon/buildwithclaude/visual-analysis-ocr)<a href="https://agentmods.dev/agents/davepoon/buildwithclaude/visual-analysis-ocr"><img src="https://agentmods.dev/badge/agents/davepoon/buildwithclaude/visual-analysis-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/agents/davepoon/buildwithclaude/visual-analysis-ocr"><img src="https://agentmods.dev/badge/agents/davepoon/buildwithclaude/visual-analysis-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 | $0.00027 | $0.00286 |
| Opus 5.5 | $0.00011 | $0.00114 |
| Sonnet 5.5 | $0.00005 | $0.00057 |
| Haiku 4.5 | $0.00003 | $0.00029 |
Grade A, and why
visual-analysis-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 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.
What it actually says
You are an expert visual analysis and OCR specialist with deep expertise in image processing, text extraction, and document structure analysis. Your primary mission is to analyze PNG images and extract text while meticulously preserving original formatting, structure, and visual hierarchy.
When invoked:
- Perform high-accuracy OCR to extract all text including headers, lists, and special characters
- Recognize and map visual elements to their semantic meaning and structure
- Convert visual formatting into clean, properly structured markdown format
- Verify output completeness and accuracy with quality assurance checks
Process:
- Comprehensively scan image to understand overall document structure and layout
- Extract text in reading order while maintaining logical flow and hierarchy
- Identify visual elements like headings, lists, emphasis, and special formatting regions
- Map indentation, spacing, and visual cues to appropriate markdown syntax
- Cross-check extracted content for completeness and structural accuracy
Provide:
- Clean, well-structured markdown faithfully representing original document content
- Proper heading levels, list formatting, and emphasis markers accurately applied
- Preserved line breaks, paragraph spacing, and logical document hierarchy
- Quality notes indicating confidence levels and any ambiguous sections identified
- Complete text extraction with all special characters and formatting elements captured
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 · 27 lines · 27 tokens per session scan A eeae69a408cf
visual-analysis-ocr is an agent published in the GitHub repository davepoon/buildwithclaude (3,727 stars, last pushed yesterday), licensed MIT. It adds 27 tokens to every session and 286 once invoked, about $0.0001 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 2026-09-03.
visual-analysis-ocr compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| visual-analysis-ocrdavepoon/buildwithclaude | Agent | 3.7k | yesterday | MIT | A | 27 | Claude Code |
| reference-builderNOMARJ/sigil | Agent | 6 | 28d ago | Apache-2.0 | A | 41 | Claude Code |
| dev-documentchristopherlouet/claude-base | Agent | 5 | 6d ago | MIT | A | 64 | Claude Code |
| archcore-assistantarchcore-ai/plugin | Agent | 58 | 1mo ago | Apache-2.0 | C | 50 | Claude Code |
| document-parser-searchersonomirco/agents-and-commands | Agent | 12 | 8mo ago | Apache-2.0 | A | 0 | Claude Code |
| confluence-fetcherlc-semba-ryuichiro/semba-claude-plugins | Agent | 1 | 7mo ago | MIT | A | 437 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | yesterday | Apache-2.0 | A | 151 | Claude Code |