PdfViewer

COMMUNITY

Simple Android PDF viewer based on pdf.js and content providers. The app doesn't require any permissions. The PDF stream is fed into the sandboxed WebView without giving it access to content or files. CSP is used to enforce that the JavaScript and styling properties within the WebView are entirely static.

Downloads 0
Stars 951
Version 1.0.0
Quality 87/100 · Excellent

Install with one command

$ npx skills add GrapheneOS/PdfViewer

Decision summary

Production-ready for Document processing

Use this as a leading candidate, then validate the README and install path in your own agent stack.

98
Readiness

Best for

  • Document processing workflows
  • Claude Code teams
  • teams that value GitHub adoption signals

Not ideal for

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review

Risk notes

  • No OpenAgentSkill engagement data yet

Quality profile

Excellent candidate for agent workflows

High-confidence pick with strong adoption and healthy maintenance signals.

87
GitHub stars
951
Freshness
10d ago
Install ready
Yes
License
MIT

Workflow fit

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Stack fit

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Overview

Simple Android PDF viewer based on pdf.js and content providers. The app doesn't require any permissions. The PDF stream is fed into the sandboxed WebView without giving it access to content or files. CSP is used to enforce that the JavaScript and styling properties within the WebView are entirely static.

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, RAG, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform Compatibility

kotlinFULL
pdfFULL

Technical Details

Version
1.0.0
License
MIT
Last Updated
5/26/2026
Published
5/24/2026

Frameworks & Tools

KotlinPDF

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Author

G

GrapheneOS

@grapheneos

Platform Fit

Health Signals

GitHub stars
951
Quality score
55/100
Last GitHub push
May 20, 2026
Framework hints
2
OpenAgentSkill views
0
Install copies
0
Outbound clicks
0

Community Signal

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Trust & Safety

  • Open source (public GitHub repo)
  • AI static analysis passed
  • License: MIT