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Pare

Skill Infrastructure Usable

Dev tools, optimized for agents. Structured, token-efficient MCP servers for git, test runners, npm, Docker, and more.

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

Reduces token overhead and latency in agentic workflows by providing lightweight, structured interfaces to core dev tools. Enables AI agents to execute infrastructure tasks with predictable cost and latency profiles.

Engineering teams deploying AI agents for CI/CD automation, testing, and container orchestration at scale.

Claude Code Claude Cowork Claude Chat

https://github.com/Dave-London/Pare

By Dave-London

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 Dave-London/Pare

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

CostFree

Trust Signals Auto-scanned

Stars127Last updated2026-05-28LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-06-01 · 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): 127 GitHub stars; contributors unknown; last commit 4d 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
3/5
Reliability
3/5
Security
3/5
Overall score3.00 / 5.00 UsableEvaluatedJun 2026
Scored from trust signals (evidence-eval-v1): 127 GitHub stars; contributors unknown; last commit 4d ago; license MIT.

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