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
INFO62
279 GitHub stars
Stars/forks activity
INFO62
279 stars, 72 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
2mo since push
License clarity
PASS86
Complete terms in LICENSE.txt
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 zrt-ai-lab/opencode-skills --skill mcp-builder
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/zrt-ai-lab/opencode-skills/tree/main/mcp-builder
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add zrt-ai-lab/opencode-skills --skill mcp-builder
Repository
88
https://github.com/zrt-ai-lab/opencode-skills/tree/main/mcp-builder
License
86
Complete terms in LICENSE.txt
Maintenance
88
2mo 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
62
279 stars, 72 forks; issue activity unavailable in current metadata
Adoption
68
279 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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