Skill audit report
Expert patterns for adding multiplayer to single-player games including client-server architecture, authoritative server design, MultiplayerSynchronizer, lag compensation (client prediction, server reconciliation), input buffering, and anti-cheat measures. Use when retrofitting multiplayer, porting to online play, or designing networked gameplay. Trigger keywords: MultiplayerPeer, ENetMultiplayerPeer, SceneMultiplayer, MultiplayerSynchronizer, rpc, rpc_id, multiplayer_authority, client_prediction, server_reconciliation, lag_compensation, rollback.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO76
659 GitHub stars
Stars/forks activity
INFO65
659 stars, 40 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
18d since push
License clarity
PASS86
LGPL-3.0
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO74
network or browser surface, database surface
Install availability
PASS92
npx skills add thedivergentai/GD-Agentic-Skills --skill godot-adapt-single-to-multiplayer
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO74
network or browser access, database access
Repository evidence
PASS86
https://github.com/thedivergentai/GD-Agentic-Skills/tree/main/skills/godot-adapt-single-to-multiplayer
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add thedivergentai/GD-Agentic-Skills --skill godot-adapt-single-to-multiplayer
Repository
88
https://github.com/thedivergentai/GD-Agentic-Skills/tree/main/skills/godot-adapt-single-to-multiplayer
License
86
LGPL-3.0
Maintenance
100
18d since push
AI review
55
The SKILL.md excerpt appears truncated at the end, but the provided content is sufficient for evaluation.
README/SKILL.md completeness
86
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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Usable description available
Dependency risk
74
network or browser surface, database surface
Install command safety
92
standard package or runtime install path
Permission surface
74
network or browser access, database access
Stars/forks activity
65
659 stars, 40 forks; issue activity unavailable in current metadata
Adoption
88
659 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
Browser automation
mediumSkill may drive a browser or interact with web pages.
Network access
mediumSkill likely fetches remote pages, APIs, repositories, or external services.
Secrets or environment access
highSkill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Database access
mediumSkill may inspect schemas, query databases, or work with persistent stores.