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vibecosystem

Skill Development Solid
Works inClaude Code
Solid Scanned — metadata only

137 agents, 269 skills, 53 hooks with self-learning and cross-project training. A multi-agent swarm that improves over time. Built on Claude Code.

Your AI software team. 137 agents, 269 skills, 53 hooks. Self-learning, multi-agent swarm, cross-project training. Built on Claude Code.

515 starsMIT (commercial OK)FreeQuick setup

137 agents, 269 skills, 53 hooks with self-learning and cross-project training. A multi-agent swarm that improves over time. Built on Claude Code.

Advanced Claude Code users who want a self-improving agent ecosystem that learns from past projects.

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https://github.com/vibeeval/vibecosystem

By vibeeval

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 vibeeval/vibecosystem

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 deploy a self-learning agent team that improves across projects

Trust Signals Auto-scanned

Stars515Contributors2Last updated2026-07-08LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-18 · scanner vattempted-no-data

Reviewer notes

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

catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 514 GitHub stars; 1 contributors; last commit 12d ago; license MIT.

Things to check

  • 137 agents and 269 skills introduce significant configuration and orchestration overhead; requires clear agent roles to avoid redundant work or conflicting outputs. Self-learning on noisy codebases can propagate bad patterns; needs human review gates for critical paths.

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
4/5
Reliability
3/5
Security
4/5
Overall score3.75 / 5.00 SolidEvaluatedJul 2026
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 514 GitHub stars; 1 contributors; last commit 12d ago; license MIT.

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