create-litert-lm-android-demo-app
Guides the agent to orchestrate and implement a standalone LiteRT-LM Android demo app with backend selection and multi-modality support using Bazel 9. Use when asked to create a demo app for LiteRT-LM on Android. Don't use for general Android app development without LiteRT-LM, or for building the core library alone without an app.
70
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Critical
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E006: Malicious code pattern detected in skill scripts.
What this means
Detected high-risk code patterns in the skill content — including its prompts, tool definitions, and resources — such as data exfiltration, backdoors, remote code execution, credential theft, system compromise, supply chain attacks, and obfuscation techniques.
Why it was flagged
The skill instructs creating and persistently running a dedicated "monitoring subagent" that must be instantiated and kept active, and mandates persistent recording of absolute local tool/paths and verbatim copying of contextual files—patterns consistent with a backdoor/persistent monitoring mechanism and sensitive local data harvesting.
W012: Unverifiable external dependency detected (runtime URL that controls agent).
What this means
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
Why it was flagged
The skill explicitly instructs runtime fetching of external code/artifacts—cloning the LiteRT-LM repo (https://github.com/google-ai-edge/LiteRT-LM) and resolving Maven artifacts from https://maven.google.com and https://repo1.maven.org/maven2—which will be fetched and built/executed as required dependencies during execution, creating a high-risk of executing remote code.
- Repository
- google-ai-edge/LiteRT-LM
- Commit
8096ebb
- Audited
- Security analysis
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