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boost

Skill Development Usable
Works inClaude Code
Usable Scanned — metadata only

Reduces LLM token consumption while preserving code context, lowering API costs and enabling longer analysis windows for complex codebases without sacrificin…

Save tokens. Maximize context, Safely

540 starsFreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Reduces LLM token consumption while preserving code context, lowering API costs and enabling longer analysis windows for complex codebases without sacrificing model visibility.

Development teams using Claude for code review, refactoring, or debugging within strict token budgets or large repository contexts.

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https://github.com/jfrog/boost

By jfrog

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 jfrog/boost

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:

Summarize lengthy codebases before detailed analysis conversations
CostFree

Trust Signals Auto-scanned

Stars540Contributors6Last updated2026-10-26Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-10-26 · scanner v1

Reviewer notes

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

Scored from trust signals (evidence-eval-v1): 524 GitHub stars; contributors unknown; last commit 0d ago; license no license.

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
2/5
Versatility
4/5
Reliability
3/5
Security
3/5
Overall score2.90 / 5.00 UsableEvaluatedOct 2026
Scored from trust signals (evidence-eval-v1): 524 GitHub stars; contributors unknown; last commit 0d ago; license no license.

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