{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_modl","slug":"modl","name":"Modl","type":"product","url":"https://modl.ai","page_url":"https://unfragile.ai/modl","categories":["automation"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_modl__cap_0","uri":"capability://quality.assurance.automated.qa.test.execution","name":"automated-qa-test-execution","description":"Automatically runs predefined and AI-generated test cases against game builds to identify bugs, crashes, and gameplay issues without manual tester intervention. Executes across multiple game scenarios and edge cases systematically.","intents":["I want to reduce the time my QA team spends on repetitive testing","I need to catch bugs before they reach players","I want to test more scenarios than my manual QA team can handle"],"best_for":["mid-to-large game studios","studios with established QA processes","multiplayer and competitive game developers"],"limitations":["less effective for narrative-heavy games","requires integration with game engine","cannot assess subjective player experience"],"requires":["game build access","game engine integration","defined test scenarios"],"input_types":["game builds","test case definitions","gameplay parameters"],"output_types":["test reports","bug logs","crash reports"],"categories":["quality-assurance","game-development"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_modl__cap_1","uri":"capability://analytics.player.behavior.analysis","name":"player-behavior-analysis","description":"Analyzes aggregated player data and gameplay telemetry to identify patterns in player behavior, engagement drops, and balance issues that human testers typically miss. Surfaces insights about how players interact with game systems.","intents":["I want to understand why players are leaving my game","I need to identify which game mechanics are causing frustration","I want to find balance issues in competitive gameplay"],"best_for":["multiplayer game studios","competitive game developers","studios with large player bases","data-driven game designers"],"limitations":["requires sufficient player data to be meaningful","cannot assess subjective narrative experience","dependent on quality of telemetry collection"],"requires":["player telemetry data","gameplay metrics","player session logs"],"input_types":["gameplay telemetry","player session data","engagement metrics"],"output_types":["behavior reports","pattern analysis","engagement insights"],"categories":["analytics","game-development","player-experience"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_modl__cap_2","uri":"capability://game.development.balance.issue.detection","name":"balance-issue-detection","description":"Uses AI analysis of gameplay data to automatically identify balance problems such as overpowered mechanics, underutilized features, or unfair matchups that create poor player experience. Flags issues for designer review.","intents":["I want to find overpowered characters or weapons before launch","I need to identify which game features nobody is using","I want to ensure fair competitive balance"],"best_for":["competitive multiplayer game studios","games with complex progression systems","studios with large player bases"],"limitations":["requires sufficient gameplay data","AI recommendations are suggestions only","cannot account for intentional design choices"],"requires":["gameplay telemetry","player performance data","game balance parameters"],"input_types":["player statistics","win/loss rates","feature usage data"],"output_types":["balance reports","issue recommendations","statistical analysis"],"categories":["game-development","analytics"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_modl__cap_3","uri":"capability://game.development.player.retention.optimization","name":"player-retention-optimization","description":"Analyzes player churn patterns and engagement metrics to identify factors causing players to stop playing, then recommends design or content adjustments to improve retention. Tracks retention metrics over time.","intents":["I want to reduce player churn and keep players engaged longer","I need to understand what's causing players to quit","I want to optimize my game for better long-term retention"],"best_for":["studios with live service games","multiplayer game developers","studios focused on player lifetime value"],"limitations":["recommendations are AI-generated suggestions requiring human validation","effectiveness varies by game genre","requires ongoing player data collection"],"requires":["player retention data","churn analytics","engagement metrics"],"input_types":["player session history","churn data","engagement metrics"],"output_types":["retention reports","optimization recommendations","trend analysis"],"categories":["game-development","analytics","player-experience"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_modl__cap_4","uri":"capability://game.development.game.engine.integration","name":"game-engine-integration","description":"Integrates Modl's testing and analysis capabilities directly into popular game engines and development pipelines, allowing developers to access AI-driven testing without leaving their development environment.","intents":["I want to run AI testing without switching tools","I need Modl to work with my existing game engine","I want to integrate AI testing into my development workflow"],"best_for":["studios using major game engines","teams with established development pipelines","developers seeking low-friction adoption"],"limitations":["only supports specific game engines","integration complexity varies by engine","requires technical setup"],"requires":["compatible game engine","API access","development environment setup"],"input_types":["game engine projects","build configurations"],"output_types":["integrated testing interface","pipeline reports"],"categories":["game-development","integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_modl__cap_5","uri":"capability://quality.assurance.edge.case.scenario.generation","name":"edge-case-scenario-generation","description":"AI automatically generates and identifies edge case scenarios and unusual gameplay situations that human testers might miss, then executes tests against these scenarios to uncover hidden bugs.","intents":["I want to find bugs that human testers would miss","I need to test unusual edge cases systematically","I want to improve game stability in unexpected situations"],"best_for":["studios developing complex games","multiplayer game developers","teams with limited QA resources"],"limitations":["effectiveness depends on game complexity","cannot generate meaningful edge cases for narrative-driven games","requires game build access"],"requires":["game builds","gameplay mechanics documentation","test environment"],"input_types":["game mechanics","gameplay parameters","build files"],"output_types":["edge case reports","bug findings","test scenarios"],"categories":["quality-assurance","game-development"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_modl__cap_6","uri":"capability://quality.assurance.qa.workload.reduction","name":"qa-workload-reduction","description":"Automates routine QA testing tasks, reducing the manual testing burden on QA teams by handling repetitive test execution and initial bug screening, freeing human testers for more complex testing.","intents":["I want to reduce my QA team's workload","I need to do more testing with the same QA budget","I want my QA team to focus on complex testing instead of repetitive tasks"],"best_for":["studios with established QA teams","mid-to-large game studios","teams with repetitive testing workflows"],"limitations":["estimated 40-60% reduction for standard scenarios only","still requires human oversight","less effective for subjective quality assessment"],"requires":["QA team","defined test procedures","game builds"],"input_types":["test procedures","game builds"],"output_types":["automated test results","prioritized bug reports"],"categories":["quality-assurance","productivity"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_modl__cap_7","uri":"capability://quality.assurance.crash.and.stability.detection","name":"crash-and-stability-detection","description":"Automatically identifies crashes, freezes, and stability issues during automated testing, logging detailed information about conditions that cause instability for developer investigation.","intents":["I want to find crashes before players encounter them","I need to identify stability issues across different scenarios","I want detailed crash logs for debugging"],"best_for":["all game studios","studios developing complex games","teams prioritizing stability"],"limitations":["requires game build access","cannot identify all platform-specific issues","needs sufficient test coverage"],"requires":["game builds","crash logging infrastructure","test environment"],"input_types":["game builds","test scenarios"],"output_types":["crash reports","stability logs","debugging information"],"categories":["quality-assurance","game-development"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_modl__cap_8","uri":"capability://analytics.engagement.metric.tracking","name":"engagement-metric-tracking","description":"Continuously monitors and tracks player engagement metrics such as session length, feature usage, and interaction patterns to provide ongoing insights into player experience and game health.","intents":["I want to track how engaged my players are","I need to monitor engagement trends over time","I want to understand which features keep players engaged"],"best_for":["live service game studios","multiplayer game developers","studios with large player bases"],"limitations":["requires active player base","metrics are data-driven and may miss subjective experience","depends on telemetry quality"],"requires":["player telemetry infrastructure","engagement tracking setup"],"input_types":["gameplay telemetry","player session data"],"output_types":["engagement dashboards","metric reports","trend analysis"],"categories":["analytics","game-development"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_modl__cap_9","uri":"capability://game.development.ai.driven.testing.recommendations","name":"ai-driven-testing-recommendations","description":"Provides AI-generated recommendations for testing priorities, bug severity assessment, and design improvements based on analysis of gameplay data and test results. Acts as an advisory system for developers.","intents":["I want AI suggestions on what to test next","I need help prioritizing which bugs to fix first","I want design recommendations based on player data"],"best_for":["game designers","QA leads","product managers","mid-to-large studios"],"limitations":["recommendations are suggestions only, not replacements for human judgment","quality depends on data quality","requires human validation"],"requires":["gameplay data","test results","player analytics"],"input_types":["test data","player analytics","gameplay metrics"],"output_types":["recommendation reports","priority lists","design suggestions"],"categories":["game-development","analytics"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":45,"verified":false,"data_access_risk":"low","permissions":["game build access","game engine integration","defined test scenarios","player telemetry data","gameplay metrics","player session logs","gameplay telemetry","player performance data","game balance parameters","player retention data"],"failure_modes":["less effective for narrative-heavy games","requires integration with game engine","cannot assess subjective player experience","requires sufficient player data to be meaningful","cannot assess subjective narrative experience","dependent on quality of telemetry collection","requires sufficient gameplay data","AI recommendations are suggestions only","cannot account for intentional design choices","recommendations are AI-generated suggestions requiring human validation","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.39999999999999997,"quality":0.82,"ecosystem":0.25,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:31.858Z","last_scraped_at":"2026-04-05T13:23:42.545Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=modl","compare_url":"https://unfragile.ai/compare?artifact=modl"}},"signature":"YcTZTvvjNpK5Iqv1ESvvWayl1449VR0D/eoDXgO04T6e7I2hBcntEsYCROSTsoJLARrng8Ly0J0X1jX70lPaBQ==","signedAt":"2026-06-20T19:44:12.155Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/modl","artifact":"https://unfragile.ai/modl","verify":"https://unfragile.ai/api/v1/verify?slug=modl","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}