assumption-enumeration
Systematically identify all assumptions in a method/model — structural, parametric, distributional, and scope assumptions.
git clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engine /tmp/assumption-enumeration && cp -r /tmp/assumption-enumeration/skills/assumption-enumeration ~/.claude/skills/assumption-enumerationSKILL.md
# Assumption Enumeration Exhaustively list all assumptions in a method. ## Execution Subagent — spawned via subagent-spawning/spawn-agent. ## Budget One unit = one assumption enumeration pass.
Experiment-specific - summarize the DARE executor's research design into a clean research_result report, forced to write back into the spec file produced by formated-specs.
Experiment-specific - replaces writing-specs, emits DARE's 4-layer call plan as a clean research_graph schema. Last step forces load formated-result.
loss-1 judge - read a sample's full dialogue and decide whether the user simulator semantically enacted its Policy Card. check-blind.
loss-2 judge - pairwise quality comparison across the n rungs within one topic; decide monotonicity and endpoint separation. check-blind, D1-D5 only.
Strategy: Inference to the best explanation in the face of anomalies
Remove components one by one, observe system changes to reveal hidden
Map system architecture to ablatable units for ablation studies
Design ablation studies to isolate component contributions in ML systems