OpenClaw: benign
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OpenClaw: benign
The skill's files, instructions, and small local script are consistent with its stated purpose of quantifying prediction uncertainty and do not request credentials, external installs, or network acces... [内容已截断]
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静态扫描: clean
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{
"latestVersion": {
"_creationTime": 1774132860492,
"_id": "k97fwam2r6ektxmb8rj0hsahn983a1d7",
"changelog": "Self-Aware Prediction System 1.0.0 – First Release\n\n- Introduced a prediction framework that emphasizes awareness of uncertainty and knowledge boundaries.\n- Implements confidence scoring (0–10) with risk alerts based on prediction type, data completeness, and confidence level.\n- Provides prediction categorization: factual, trend-based, probabilistic, and speculative.\n- Includes information completeness assessment: high, medium, low.\n- Designed to help users evaluate answer certainty and identify when further information is needed.",
"changelogSource": "auto",
"createdAt": 1774132860492,
"version": "1.0.0"
},
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"skill": {
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"displayName": "Self Aware Prediction System",
"latestVersionId": "k97fwam2r6ektxmb8rj0hsahn983a1d7",
"ownerUserId": "kn7bc7ct54atncdn9d1tzevy218277sp",
"slug": "self-aware-prediction-system",
"stats": {
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"downloads": 30,
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"stars": 1,
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},
"summary": "Provides predictions with quantified uncertainty by evaluating data completeness, prediction type, and confidence to inform decision-making risks.",
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}