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gcf

Skill Data & Analytics Usable
Works inClaude Code
Usable Scanned — metadata only

Reduces API costs and latency by cutting token usage 50–92% versus JSON while maintaining perfect fidelity across LLM inference—directly lowering operational…

The AI-native wire format for structured data. 100% comprehension on every frontier model. 50-92% fewer tokens than JSON. 43B+ lossless round-trips across 17 formats. Spec v3.2 Stable.

26 starsMIT (commercial OK)Free
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Reduces API costs and latency by cutting token usage 50–92% versus JSON while maintaining perfect fidelity across LLM inference—directly lowering operational spend on high-volume data pipelines.

Data engineering teams optimizing token efficiency and cost in AI-driven analytics and multi-model data workflows.

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https://github.com/blackwell-systems/gcf

By blackwell-systems

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 blackwell-systems/gcf

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 reduce API payload sizes by converting JSON data to GCF format for faster transfers
CostFree

Trust Signals Auto-scanned

Stars26Contributors2Last updated2026-07-25LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-25 · 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): 26 GitHub stars; 2 contributors; 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
3/5
Versatility
2/5
Reliability
3/5
Security
3/5
Overall score2.75 / 5.00 UsableEvaluatedJul 2026
Scored from trust signals (evidence-eval-v1): 26 GitHub stars; 2 contributors; last commit 0d ago; license MIT.

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