abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
@yogsoth-aiInstall SkillAutomation
Skill
/compare-hypotheses
Build an explicit comparison matrix over hypotheses, predictions, and evidence.
Claude Code
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill compare-hypotheses --agent claude-code
Codex
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill compare-hypotheses -a codex -y
Cursor
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill compare-hypotheses -a cursor -y
Gemini CLI
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill compare-hypotheses -a gemini-cli -y
GitHub Copilot
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill compare-hypotheses -a github-copilot -y
OpenCode
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill compare-hypotheses -a opencode -y
Windsurf
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill compare-hypotheses -a windsurf -y
SKILL.md
compare-hypotheses.SKILL.mdname: compare-hypotheses description: "Build an explicit comparison matrix over hypotheses, predictions, and evidence."
compare-hypotheses
Purpose
Compare competing hypotheses against shared evidence, predictions, assumptions, and explanatory scope.
Input contract
required: [hypotheses, evidence_records, comparison_criteria] optional: [priors, discriminating_predictions, model_constraints] constraints: [criteria and evidence must be applied symmetrically]
Procedure
1. Normalize hypotheses to comparable claims and assumptions. 2. Map each hypothesis to predictions and supporting or conflicting evidence. 3. Compare explanatory coverage, residual anomalies, and required assumptions. 4. Record relative support and evidence that would change the comparison.
Output contract
produces: [hypothesis_comparison, prediction_matrix, support_profile, discriminating_evidence] delta_fields: [findings, hypothesis_updates, uncertainties, decisions, open_questions]
Quality gates
- Shared evidence is not counted repeatedly.
- A criterion omitted for one hypothesis is omitted for all.
Failure and counterexamples
Do not choose the simplest-sounding hypothesis without comparing predictive adequacy and assumptions.
Provenance map
- `resolved: compare-hypotheses`
Ships withde-anthropocentric-research-engine
A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.
507200 skills
Stars on GitHub
Momentum
- stars in total
- 507
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Questions about compare-hypotheses.
- Which coding agents can use compare-hypotheses?
- compare-hypotheses installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.