Skill of Skills
📄 skillStalePromisinghigh

waldzell-mcp

by waldzellai

Waldzell AI's monorepo of MCP servers. Use in Claude Desktop, Cline, Roo Code, and more!

Supported Platforms

🤖 Claude Code

Stars

203

Skill Type

📖 Library & API Reference

Quality Score

90/200

License

MIT

Forks

30

Last Updated

Jul 24, 2026

Discovered

Apr 17, 2026

Validation

Passed

github.com/waldzellai/waldzell-mcp

Quality Breakdown

90/ 200

Content Signals

○Gotchas/Edge Cases+40
✓Progressive Disclosure+30
○Trigger Description+20
○Verification/Safety+20
✓Code Examples+15
○Composability+15

Repo Health

○Recent Activity+15
✓Scripts/Automation+10
✓Real Usage (Issues)+10
✓Single Responsibility+10
✓Config/Persistence+10
✓Install Instructions+5

Multi-platform bonus: +5 pts if tool supports 2+ platforms. Score derived from 12 structural signals — not stars or popularity.

Trust & Verification

high

Broad system access required. Carefully review permissions before installing.

Stale

No commits in 90-365 days and no tagged releases.

Unverified skill. Always review source code before installing any skill from an unknown author.

Risk Assessment

  • Multiple autonomous bash scripts in agentic-scripts/ directory (adas-meta-agent.sh, intelligent-debugger.sh, performance-driven-auto-tuning.sh, memory-manager.sh) that execute shell commands without explicit approval gates
  • Multi-agent orchestration indicated by .spec-orchestrator directory with complex dependency graphs and multi-module coordination across 11+ subsystems (forge-cli, forge-core, forge-exec, forge-redteam, forge-sandbox, etc.)
  • Presence of 'forge-redteam' module in spec orchestrator suggests offensive security/penetration testing capabilities
  • GitHub Actions workflows (collective-intelligence.yml, waldzell-agentic-enhancement.yml, mcp-sidecar.yml) that appear to enable automated agent execution and enhancement
  • Complex configuration metadata (.spec-orchestrator/state.json, config.json files) for autonomous system state management
  • Agentic script directory with meta-agent architecture designed for autonomous self-modification and optimization

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