Skill audit report
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS86
1.5K GitHub stars
Stars/forks activity
INFO77
1.5K stars, 154 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
25d since push
License clarity
PASS86
GPL-3.0
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO64
credential or environment access, network or browser surface
Install availability
PASS92
npx skills add NeoLabHQ/context-engineering-kit --skill build-mcp
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL34
secrets or environment access, filesystem or document access
Repository evidence
PASS86
https://github.com/NeoLabHQ/context-engineering-kit/tree/master/antigravity/skills/build-mcp
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add NeoLabHQ/context-engineering-kit --skill build-mcp
Repository
88
https://github.com/NeoLabHQ/context-engineering-kit/tree/master/antigravity/skills/build-mcp
License
86
GPL-3.0
Maintenance
100
25d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
86
Usable description available
Dependency risk
64
credential or environment access, network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
34
secrets or environment access, filesystem or document access
Stars/forks activity
77
1.5K stars, 154 forks; issue activity unavailable in current metadata
Adoption
88
1.5K GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Warnings
Method
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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