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context-guru

Skill Development Usable
Works inClaude Code
Usable Scanned — metadata only

Reduces token consumption and API latency for AI-assisted development workflows, directly lowering operational costs while maintaining code quality and sugge…

Context optimization for AI coding agents — lower token cost and latency without sacrificing accuracy.

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

Reduces token consumption and API latency for AI-assisted development workflows, directly lowering operational costs while maintaining code quality and suggestion accuracy.

Engineering teams integrating AI coding agents into CI/CD pipelines or daily development practices seeking cost efficiency.

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https://github.com/rossoctl/context-guru

By rossoctl

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 rossoctl/context-guru

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:

Analyze large codebases and extract only the most relevant files for a specific bug fix
CostFree

Trust Signals Auto-scanned

Stars70Contributors11Last updated2026-10-23LicenseApache-2.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-10-24 · scanner v1

Reviewer notes

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

Scored from trust signals (evidence-eval-v1): 56 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
3/5
Reliability
3/5
Security
3/5
Overall score3.00 / 5.00 UsableEvaluatedOct 2026
Scored from trust signals (evidence-eval-v1): 56 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

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