weakness-classification
$
npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/weakness-classificationClassifies discovered weaknesses into severity tiers.
SKILL.md
.github/skills/weakness-classificationView on GitHub ↗
--- name: weakness-classification description: Classifies discovered weaknesses into severity tiers (fatal/major/minor/cosmetic) with structured justification and exploitability assessment. execution: subagent prompt: ./prompt.md input: raw_finding (string), artifact_context (string) used-by: multiagent-debate, red-teaming, adversarial-stress-testing --- # Weakness Classification Classifies discovered weaknesses into severity tiers. ## Execution Subagent — spawned via subagent-spawning/spawn-agent. ## Why Subagent Classification requires careful reasoning about impact scope and exploitability — dedicated context prevents bias from the discovery process. ## Input - **raw_finding**: The weakness finding with context from discovery - **artifact_context**: The original artifact being validated ## Output - **severity**: `fatal` | `major` | `minor` | `cosmetic` - **category**: type of weakness (logical, evidential, methodological, scope, assumption, implementation) - **justification**: why this severity level - **exploitability**: how easily this weakness could be exploited/triggered in practice ## Classification Scheme - **fatal**: Invalidates the core claim — artifact cannot be used as-is - **major**: Significantly undermines validity but not fatal — requires substantial revision - **minor**: Weakens periphery — addressable without fundamental changes - **cosmetic**: Presentation/clarity issue only — does not affect validity ## Budget One unit = one classification. Called per finding.