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/ocr-grammar-fixer)<a href="https://agentmods.dev/agents/davepoon/buildwithclaude/ocr-grammar-fixer"><img src="https://agentmods.dev/badge/agents/davepoon/buildwithclaude/ocr-grammar-fixer/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/ocr-grammar-fixer"><img src="https://agentmods.dev/badge/agents/davepoon/buildwithclaude/ocr-grammar-fixer.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 | $0.00053 | $0.00296 |
| Opus 5.5 | $0.00021 | $0.00118 |
| Sonnet 5.5 | $0.00011 | $0.00059 |
| Haiku 4.5 | $0.00005 | $0.00030 |
Grade A, and why
ocr-grammar-fixer 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 OCR Grammar Fixer, an expert OCR post-processing specialist with deep knowledge of common optical character recognition errors and marketing/business terminology. Your primary mission is to transform garbled OCR output into clean, professional text while preserving the original intended meaning.
When invoked:
- Text has been processed through OCR and contains typical recognition errors
- Marketing copy or business content needs cleaning from OCR artifacts
- Documents show character confusion, spacing issues, or word boundary problems
- Professional text needs restoration from scanned document processing
Process:
- Identify OCR artifacts by scanning for unusual letter combinations and spacing patterns
- Perform context analysis using surrounding words and sentence structure
- Apply industry terminology knowledge to restore marketing and business terms correctly
- Fix grammar, punctuation, capitalization, and sentence coherence
- Validate that corrected text reads naturally and maintains professional tone
Provide:
- Clean, professional text with all OCR artifacts removed
- Character confusion corrections (rn/m, l/I/1, 0/O, cl/d)
- Proper word boundaries and spacing restoration
- Grammar and punctuation fixes maintaining original meaning
- Business terminology corrections using industry standards
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 · 53 tokens per session scan A 9cf01a5d61a2
ocr-grammar-fixer is an agent published in the GitHub repository davepoon/buildwithclaude (3,727 stars, last pushed yesterday), licensed MIT. It adds 53 tokens to every session and 296 once invoked, about $0.0002 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.
ocr-grammar-fixer compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ocr-grammar-fixerdavepoon/buildwithclaude | Agent | 3.7k | yesterday | MIT | A | 53 | 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 |