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Skillv1.0.0
ClawScan security
Forgetting Curve · ClawHub's context-aware review of the artifact, metadata, and declared behavior.
Scanner verdict
BenignMay 1, 2026, 7:32 AM
- Verdict
- Benign
- Confidence
- high
- Model
- gpt-5.5
- Summary
- This skill appears to be a small local math module for memory decay and spaced-repetition scheduling, with no credential, network, persistence, or high-impact system behavior shown.
- Guidance
- This looks safe to install from the provided artifacts. As with any local Python module, review the file before copying it into a project, but the included code is limited to memory-strength calculations and scheduling helpers.
Review Dimensions
- Purpose & Capability
- okThe included Python code implements the stated forgetting-curve and spaced-repetition calculations using local math operations.
- Instruction Scope
- okThe instructions describe normal import, configuration, and integration examples; they do not attempt to override user intent or force unsafe agent behavior.
- Install Mechanism
- okThere is no install specification, no external dependency download, and the documented install/copy commands are user-directed examples rather than automatic execution.
- Credentials
- okThe skill declares no required binaries, environment variables, credentials, config paths, network services, or OS-specific privileges.
- Persistence & Privilege
- okThe artifacts show no background process, persistent storage, credential access, account access, or modification of user data.