World Model
ReviewAudited by ClawScan on May 10, 2026.
Overview
This skill does not show exfiltration or destructive code, but it relies on missing/unreviewed implementation files and makes strong AGI accuracy claims that users could over-trust.
Do not rely on this skill for real risk assessment or system-change decisions unless the missing implementation files are provided and independently reviewed. If installed, inspect or clear its local state files and treat its predictions as unverified advisory output.
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.
The skill may fail at runtime or could execute implementation code that was not included in this review.
The wrapper executes a local world_model.py module, but that file is not present in the provided file manifest. If the skill depends on a separately supplied file, the reviewed artifacts do not show what code would run.
spec = importlib.util.spec_from_file_location("world_model", Path(__file__).parent / "world_model.py") ... spec.loader.exec_module(module)Only install if the full implementation is supplied and reviewed, or require the package to remove the dynamic dependency on missing files.
A user or agent could over-rely on unsupported predictions when making operational or business decisions.
The skill presents authoritative AGI/performance claims and encourages use for risk assessment, but the included artifacts do not substantiate those claims or provide the documented implementation.
priority: "critical" ... prediction_accuracy: "85%" ... causal_reasoning: "92%" ... Assess-Risk -Action "major_system_change"
Treat outputs as unverified suggestions, not reliable risk analysis, unless the publisher provides working code, validation data, and clear limitations.
Stale or incorrect stored state could influence future predictions, and retained context may include user or environment details.
The skill is designed to retain and reuse world-state/history information, and the package includes persistent JSON state and prediction log files.
Track changes over time (unlimited history) ... Maintain state history (with decay) ... Detect anomalies (automatic)
Review and clear the JSON state/log files periodically, and avoid letting the skill treat stored state as authoritative without user confirmation.