Install
$ agentstack add skill-d-oit-do-web-doc-resolver-do-wdr-visual-resolver ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Visual Resolver Skill
Extends the Web Doc Resolver cascade with a visual provider based on CLIP screenshot embeddings.
When to use this skill
Activate this skill when text-based extractors (Jina, Firecrawl, etc.) fail to resolve a URL, particularly for:
- Scanned PDFs (raster text)
- Single Page Applications (SPAs) returning skeleton HTML
- Infographic-heavy or chart/table-only documents
- Complex multi-column academic layouts
Prerequisites
Install visual resolution dependencies:
pip install torch torchvision torchaudio
pip install git+https://github.com/openai/CLIP.git
pip install playwright
playwright install chromium
Integration
This skill is designed to be integrated into the scripts/_url_resolve.py cascade.
Usage
from .visual_resolver import VisualResolver
resolver = VisualResolver()
if resolver.is_available():
result = resolver.resolve("https://example.com/scanned-pdf", "technical architecture diagram")
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: d-oit
- Source: d-oit/do-web-doc-resolver
- License: MIT
- Homepage: https://web-eight-ivory-29.vercel.app/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.