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plasmate

Skill Development Usable
Works inClaude Code
Usable Scanned — metadata only

It bridges the gap between unstructured web content and machine-readable data, enabling agents to interact with complex interfaces through a reliable semanti…

Browser engine for agents. HTML in, structured Semantic Object Model out. Native MCP and AWP with a supported CDP subset. Apache-2.0.

39 starsApache-2.0 (commercial OK)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

It bridges the gap between unstructured web content and machine-readable data, enabling agents to interact with complex interfaces through a reliable semantic model rather than brittle DOM parsing.

AI engineers building autonomous web agents that require structured, reliable access to browser-based application states.

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https://github.com/plasmate-labs/plasmate

By plasmate-labs

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → Plugins → Add plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install plasmate-labs/plasmate

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Help me convert raw HTML from websites into structured semantic object models
CostFree

Trust Signals Auto-scanned

Stars39Last updated2026-10-31LicenseApache-2.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-10-31 · scanner v1

Community Pulse Growing

Discussed on Hacker News

3 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 39 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
2/5
Reliability
3/5
Security
3/5
Overall score2.75 / 5.00 UsableEvaluatedOct 2026
Scored from trust signals (evidence-eval-v1): 39 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

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