yogsoth-ai

yogsoth-ai/stress-test

Skill Claude CodeCodex

Tactic: Trace upstream causes and downstream effects of each failure mode. Builds multi-level cause-mode-effect chains for systemic understanding.

yogsoth-ai/stress-test

Skill Claude CodeCodex

Extract structured failure mode list from raw scenarios or artifact analysis. Produces standardized failure mode records.

yogsoth-ai/stress-test

Skill Claude CodeCodex

Campaign: Truth-seeking adversarial validation for scientific research artifacts (NOT publication defense). Core question: Where have we fooled ourselves, and is each load-bearing claim even falsifiable? Win-condition is INVERTED from survival/resilience to active refutation. Methods: Popper falsificationism, Lakatos…

yogsoth-ai/stress-test

Skill Claude CodeCodex

Aggregate, deduplicate, and classify findings from multiple probes into a coherent vulnerability report.

yogsoth-ai/stress-test

Skill Claude CodeCodex

Find the minimal change magnitude along a dimension that causes the conclusion to flip from true to false.

yogsoth-ai/stress-test

Skill Claude CodeCodex

Compute a fragility index from flip-point distances and degradation scores, summarizing how robust the conclusion is.

yogsoth-ai/stress-test

Skill Claude CodeCodex

FMEA Step 3: Decompose artifact into function tree — identify what each component is supposed to do before analyzing how it can fail.

yogsoth-ai/stress-test

Skill Claude CodeCodex

Strategy: 10th Man Rule and Liberating Structures — institutionalized dissent to prevent premature consensus and expose suppressed objections.

yogsoth-ai/stress-test

Skill Claude CodeCodex

Strategy: Attack the evidential weight of an 'independent convergence' claim. When N reasoning paths all reach the same conclusion, the confidence boost is real only if the paths were actually independent. Measures shared-prior / shared-blindspot contamination and corrects the over-counted confidence. Methods…

yogsoth-ai/medrxiv-mcp

MCP server Claude CodeCodexCursor

MCP server "medrxiv-mcp" as configured in yogsoth-ai/medrxiv-mcp. Runs locally from the medrxiv-mcp Python package.