[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-99392":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":9,"language":10,"languages":9,"totalLinesOfCode":9,"stars":11,"forks":12,"watchers":12,"openIssues":13,"contributorsCount":13,"subscribersCount":13,"size":13,"stars1d":14,"stars7d":14,"stars30d":14,"stars90d":13,"forks30d":13,"starsTrendScore":15,"compositeScore":16,"rankGlobal":9,"rankLanguage":9,"license":17,"archived":18,"fork":18,"defaultBranch":19,"hasWiki":20,"hasPages":18,"topics":21,"createdAt":9,"pushedAt":22,"updatedAt":23,"readmeContent":9,"aiSummary":9,"trendingCount":13,"starSnapshotCount":13,"syncStatus":12,"lastSyncTime":24,"discoverSource":25},99392,"llm-sanctioning-governance","DaVVinCi\u002Fllm-sanctioning-governance","DaVVinCi","Experiment code and figures for studying cooperation, welfare, and sanctioning in repeated public goods games with LLM agents.",null,"Python",40,2,0,8,24,58.23,"GNU General Public License v3.0",false,"main",true,[],"2026-10-09 15:19:31","2026-10-13 19:56:33","2026-10-14 04:18:04","CREATED_QUERY"]