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hcf

Skill Development Usable

Autonomous development plugin for Claude Code. Define requirements with a PM, then let parallel workers implement everything using TDD.

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

Reduces handoff friction between product and engineering by automating test-driven implementation across parallel workers, cutting iteration cycles on well-defined feature specs.

Teams with clear requirements and strong TDD discipline who want to scale implementation without proportional headcount growth.

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https://github.com/markshust/hcf

By markshust

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 markshust/hcf

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

CostFree

Trust Signals Auto-scanned

Stars26Last updated2026-05-07LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-05-20 · 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; contributors unknown; last commit 13d ago; license MIT.

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 UsableEvaluatedMay 2026
Scored from trust signals (evidence-eval-v1): 26 GitHub stars; contributors unknown; last commit 13d ago; license MIT.

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