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By yogsoth-ai
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Evaluate a fixed candidate, research path, or portfolio under one explicit scenario using stable criteria and return impact, tradeoffs, and failure triggers. | yogsoth-ai/ | 505 | — | ~465 | Automated safety check: Pass | Apache-2.0 | 10 days ago |
| 2 | Aggregate a candidate, strategy, or portfolio across explicit scenarios under a declared robust-decision rule such as worst-case score, minimax regret, maximin, threshold survival, or pivot-trigger… | yogsoth-ai/ | 505 | — | ~478 | Automated safety check: Pass | Apache-2.0 | 10 days ago |
| 3 | Evaluate the value of staging, deferral, reversible commitment, and information-gathering options under uncertainty; return decision-relevant option value and trigger conditions. | yogsoth-ai/ | 505 | — | ~424 | Automated safety check: Pass | Apache-2.0 | 10 days ago |
| 4 | Move a scientific object up/down in abstraction or narrow/broaden selected scope dimensions (population, mechanism, context, outcome, timeframe, system boundary) until the representation has useful… | yogsoth-ai/ | 505 | — | ~584 | Automated safety check: Pass | Apache-2.0 | 10 days ago |
| 5 | Run structured attack/defense/adjudication over a claim, candidate, criterion set, or current winner. | yogsoth-ai/ | 505 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | 10 days ago |
| 6 | Aggregate criterion or comparison results into an ordered recommendation under an explicit rule. | yogsoth-ai/ | 505 | — | ~561 | Automated safety check: Pass | Apache-2.0 | 10 days ago |
| 7 | Abstract relational structure from source domains, map it to the target, validate depth, and instantiate transferable mechanisms. | yogsoth-ai/ | 505 | — | ~633 | Automated safety check: Pass | Apache-2.0 | 10 days ago |
| 8 | Characterize what blocks a research target: readiness dimensions, obstacles, bottlenecks, resource gaps, causal constraints, dependencies, conflicts, removability, and mitigation pathways. | yogsoth-ai/ | 505 | — | ~3.6k | Automated safety check: Pass | Apache-2.0 | 10 days ago |
| 9 | Interpret completed experimental outputs after host/runtime execution using pre-declared statistical tests, effect/uncertainty estimates, reproducibility checks, and calibrated synthesis. | yogsoth-ai/ | 505 | — | ~732 | Automated safety check: Pass | Apache-2.0 | 10 days ago |
| 10 | Construct and compare plausible future/competitive/temporal/stress scenarios and test whether the research path remains robust across them. | yogsoth-ai/ | 505 | — | ~853 | Automated safety check: Pass | Apache-2.0 | 10 days ago |
| 11 | Identify clinical, methodological, and statistical heterogeneity sources and prioritize subgroup/meta-regression/outlier investigation. | yogsoth-ai/ | 505 | — | ~446 | Automated safety check: Pass | Apache-2.0 | 10 days ago |
| 12 | Analyze how conclusions/performance change across scale and identify regime shifts, saturation, power-law/log-law behavior, or frontier transitions. | yogsoth-ai/ | 505 | — | ~502 | Automated safety check: Pass | Apache-2.0 | 10 days ago |