Skill audit report

litert-runtime Audit report.

Creates an Android app that runs a .tflite model on the CPU or the GPU with the LiteRT CompiledModel API in Kotlin. Use this skill to build a new app around a vision, audio or embedding model, or to add on-device inference to an existing app - the dependency, where the model file goes, the inference class, the ViewModel and screen, and checking the output on a device.

REVIEWED · REVIEWNeeds reviewGenerated Oct 11, 2026Heuristic metadata audit
79
Audit
77
Trust
68
Quality
77
Security
100
Maintain
92
Install

OpenAgentSkill Trust Score

77
Strong shortlist

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

INFO

62

459 GitHub stars

Stars/forks activity

INFO

62

459 stars, 122 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

100

2d since push

License clarity

PASS

86

Apache-2.0

README/SKILL.md completeness

PASS

86

Metadata includes enough usage and workflow context

Dependency/runtime risk

INFO

74

network or browser surface, database surface

Install availability

PASS

92

npx skills add google-ai-edge/litert-samples --skill litert-runtime

Install command safety

PASS

92

standard package or runtime install path

Permission surface

WARN

60

filesystem or document access, network or browser access

Repository evidence

PASS

86

https://github.com/google-ai-edge/litert-samples/tree/main/skills/litert-runtime

Review status

WARN

46

AI review approval is missing

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

6 Passed · 13 Needs review

Install path

92

PASS

npx skills add google-ai-edge/litert-samples --skill litert-runtime

Repository

88

PASS

https://github.com/google-ai-edge/litert-samples/tree/main/skills/litert-runtime

License

86

PASS

Apache-2.0

Maintenance

100

PASS

2d since push

AI review

55

CHECK

Review approval is missing

README/SKILL.md completeness

86

PASS

Usable description available

Dependency risk

74

CHECK

network or browser surface, database surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

60

CHECK

filesystem or document access, network or browser access

Stars/forks activity

62

CHECK

459 stars, 122 forks; issue activity unavailable in current metadata

Adoption

68

INFO

459 GitHub stars

Financial decision safety

58

CHECK

Research-only use: do not treat output as financial advice or execute a position without human approval.

Warnings

  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • AI review approval is missing
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: filesystem or document access, network or browser access
  • Permission surface: filesystem or document access, network or browser access
  • Review status: AI review approval is missing

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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