Forgetting Curve
v1.0.0独立的 Ebbinghaus 遗忘曲线模块，提供记忆衰减计算和间隔重复调度
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
The name/description (forgetting curve / spaced repetition) matches the code and SKILL.md: all required functionality (decay calculations, SRS scheduling, batch helpers) is implemented and no unrelated capabilities are requested.
Instruction Scope
SKILL.md instructs only how to import/use the module, integrate it into memory systems, and install it locally. There are no instructions to read unrelated files, access environment variables, or send data to external endpoints.
Install Mechanism
No install spec is declared (instruction-only skill with an included .py file). The README shows local pip install or copying the file; no network downloads or opaque installers are used by the skill itself.
Credentials
The skill declares no required environment variables, credentials, or config paths. The code does not access OS credentials, network, or external services.
Persistence & Privilege
always is false and the module does not modify other skills or system settings. It runs as a plain library with no autonomous background behavior.
Assessment
This skill is coherent and appears safe to inspect and run locally: review the single Python file and run its tests as shown. Two things to keep in mind before deploying widely: (1) provenance: the source/homepage is unknown—confirm the license and origin if you need long-term support or legal clarity; (2) the API accepts a custom decay_function (a callable) — do not pass untrusted/remote code as that would execute arbitrary logic. Otherwise it is a small, self-contained math module without network or credential access.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.
Runtime requirements
📉 Clawdis