Skill audit report
Configure DigitalOcean Gradient AI serverless inference and Agent Development Kit. Use when adding LLM inference, model access keys, serverless AI endpoints, or building AI agents with ADK on App Platform.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
36 GitHub stars
Stars/forks activity
WARN43
36 stars, 4 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
11d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
FAIL36
command execution surface, credential or environment access
Install availability
PASS92
npx skills add digitalocean-labs/do-app-platform-skills --skill ai-services
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL36
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/digitalocean-labs/do-app-platform-skills/tree/main/skills/ai-services
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add digitalocean-labs/do-app-platform-skills --skill ai-services
Repository
88
https://github.com/digitalocean-labs/do-app-platform-skills/tree/main/skills/ai-services
License
86
MIT
Maintenance
100
11d since push
AI review
55
Inconsistent credential env var names: SKILL.md uses MODEL_ACCESS_KEY while reference/agent-development-kit.md uses GRADIENT_MODEL_ACCESS_KEY, which can cause configuration errors.
README/SKILL.md completeness
86
Usable description available
Dependency risk
36
command execution surface, credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
36
secrets or environment access, shell or command execution
Stars/forks activity
43
36 stars, 4 forks; issue activity unavailable in current metadata
Adoption
42
36 GitHub stars
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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