Digital IP Agent
Analysis
Review before installing: this instruction-only skill is designed to turn real public creators into deployable agents without clear unofficial/consent disclaimers, and it suggests persistent-memory and broad tool add-ons.
Findings (3)
Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.
Checks for instructions or behavior that redirect the agent, misuse tools, execute unexpected code, cascade across systems, exploit user trust, or continue outside the intended task.
Turn a public creator, blogger, podcaster, YouTuber, or X/Twitter personality into a deployable OpenClaw agent... "clone this creator's style"... `identity.md` ... Who I am ... Background and credibility markers
The skill explicitly creates deployable agents modeled on real public figures and asks for first-person identity and credibility material, but does not require clear unofficial, parody, authorization, or consent boundaries.
open-interpreter | https://github.com/openinterpreter/open-interpreter | Code execution ... browser-use | https://github.com/browser-use/browser-use | Browser automation ... Technical creator ... must_have: ... open-interpreter
The skill does not execute these tools, but its recommended stack can include broad code-execution and browser-automation capabilities that exceed simple persona generation.
Checks for exposed credentials, poisoned memory or context, unclear communication boundaries, or sensitive data that could leave the user's control.
`memory-long` | Long-term memory across sessions | All creator types ... user_memory: enabled ... session_memory: enabled ... cross_session_memory: true
The catalog recommends persistent memory for created agents. This is purpose-aligned for persona consistency, but it implies retained user/session context without describing retention limits or review controls.
