Evaluation report
Warningsmaestro-workflow-mcp · mcp00f9115· 3 months ago
Every check MetaHub ran on this artifact, grouped by area. Static checks run on the source at publish time; behavioral checks run the artifact in a sandbox and judge what it actually does.
Structural
5 passedRepository is reachable
https://github.com/sharpdeveye/maestro @ 00f9115 — ★ 402 · TypeScript · MIT · last push 2 months ago
Manifest detected
kind=mcp slug=maestro-workflow-mcp · path=mcp-server · source=package.json
Slug is URL-safe
"maestro-workflow-mcp" matches /^[a-z0-9][a-z0-9-]{0,62}$/
Slug is unique within kind
No collision found for mcp/maestro-workflow-mcp
Version is semver
2.0.1
Documentation
5 passedDescription quality
19 words · 117 chars — "MCP server for Maestro — exposes 25 workflow skills as tools, prompts, and resou…"
README is present and substantial
13,398 chars · 12 sections · 11 code blocks
Tags / topics declared
18 total — mcp, maestro, ai, workflow, skills, agents (+12)
README has usage / example sections
found: Quick Start · Example · Example
Homepage / docs URL declared
https://github.com/sharpdeveye/maestro
Safety
2 passed1 warningDependencies: known vulnerabilitieswarn
3 high/critical advisories — @modelcontextprotocol/[email protected] (HIGH: GHSA-345p-7cg4-v4c7) · @modelcontextprotocol/[email protected] (HIGH: GHSA-8r9q-7v3j-jr4g) (+1)
Update the affected packages, then re-publish. (`npm audit` shows the same data locally.)
LICENSE file at repo root
LICENSE
No sensitive files in the repo
scanned for .env, credentials.json, *.pem, .ssh/, AWS / GCP configs — none found
Kind-specific
5 passedMCP: launch path
bin: maestro-workflow-mcp · scripts.start
MCP: @modelcontextprotocol/sdk in dependencies
pinned at "^1.12.0"
MCP: SDK version pinned
pinned at "^1.12.0"
MCP: ESM package
"type": "module"
MCP: server surface
0 tools
Maintenance
3 passedRecent activity
last push 2 months ago
Tests detected
2 test directories · 6 test files
CI configuration detected
GitHub Actions (2 workflows)
Behavioral
This artifact hasn't produced behavioral results yet: the evaluation sandbox couldn't run it (it may need credentials we don't provide, or a build our environment doesn't support). That's a limitation of our environment, not a verdict on the artifact.