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Graft

Skill Development Solid
Works inClaude Code
Solid Scanned — metadata only

Reduces token overhead and API costs for AI-assisted development by providing codebase-aware context, enabling faster inference and more precise code generat…

Turbocharge Claude Code, Cursor, Codex, Gemini & every coding agent: faster, cheaper, with contextual understanding specific to your codebase.

5,072 starsMIT (commercial OK)FreeQuick setup

Reduces token overhead and API costs for AI-assisted development by providing codebase-aware context, enabling faster inference and more precise code generation across multiple agent platforms.

Engineering teams using Claude, Cursor, or other coding agents at scale seeking to optimize LLM expenses and improve code quality.

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https://github.com/trailhq/Graft

By trailhq

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd 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 trailhq/Graft

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:

Refactor legacy code while maintaining context of my specific architecture patterns
CostFree

Trust Signals Auto-scanned

Stars5,072Last updated2026-08-29LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-29 · scanner v1

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

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

Scored from trust signals (evidence-eval-v1): 5,072 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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
4/5
Versatility
5/5
Reliability
3/5
Security
3/5
Overall score3.85 / 5.00 SolidEvaluatedAug 2026
Scored from trust signals (evidence-eval-v1): 5,072 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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