Blast
Browser-LLM Auto-Scaling Technology
Install with one command
$ npx skills add stanford-mast/blastBest for
Coding agents
Discover skills for code generation, repository analysis, pull-request review, testing, debugging, and agentic software engineering.
Choose it when
- You want a GitHub-backed skill with 776 stars.
- You need a reusable install command for agents.
- You want to compare it with related marketplace skills.
Check before install
- Pushed 4mo ago
- License: MIT
- Review the repository README and examples.
Quality profile
Strong candidate for agent workflows
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Use this skill in these scenarios
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Operate web apps
Browser automation
I need my agent to control a browser, fill forms, and verify web app workflows.
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Stack fit
Add it to a complete workflow
Inspect, patch, and verify code
Coding review agent
A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Scrape, clean, and reuse web data
Web data pipeline
A practical stack for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Operate and verify web apps
Browser QA agent
A stack for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Overview
Browser-LLM Auto-Scaling Technology
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
Technical Details
- Version
- 1.0.0
- License
- MIT
- Last Updated
- 5/23/2026
- Published
- 5/23/2026
Frameworks & Tools
Author
stanford-mast
@stanford-mast
Platform Fit
Health Signals
- GitHub stars
- 776
- Quality score
- 47/100
- Last GitHub push
- Jan 29, 2026
- Framework hints
- 2
Community Signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & Safety
- —Open source (public GitHub repo)
- —AI static analysis passed
- —License: MIT
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