yogsoth-ai
yogsoth-ai/de-anthropocentric-research-engine
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
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npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill comparison-design命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Strategy: Dialectic engine retuned for truth-seeking, not survival. A defender steelmans a claim into its MOST falsifiable form, a critic attacks to refute it, a judge classifies the exchange into BROKEN/CORROBORATED/UNFALSIFIABLE — the judge does NOT pick a winner or score persuasiveness. Methods: Irving debate (repurposed), Toulmin argumentation, Mayo severe testing.
Campaign: Logical extreme and boundary testing via reductio ad absurdum and edge-case analysis. Core question: Does this artifact collapse under logical limits and boundary conditions? Methods: Lakatos 1976, Dutilh Novaes 2016, BVA, Flyvbjerg Critical Case, Popper.
Campaign for mapping argument structures — extract claims, link evidence, assess strength, synthesize positions. Produces argument graphs in the wiki vault.
基于 SOC 职业分类
正在显示 SKILL.md
| name | comparison-design |
| description | Design fair comparison experiments against baselines and competing methods |
| version | 1.0.0 |
| category | experiment-execution |
| type | strategy |
| sops | ["baseline-selection","metric-specification","sample-size-estimation","seed-protocol-design","environment-specification"] |
| tactics | ["statistical-method-selection","reproducibility-protocol"] |
| dependencies | {"sops":["baseline-selection","environment-specification","metric-specification","sample-size-estimation","seed-protocol-design"],"tactics":["reproducibility-protocol","statistical-method-selection"]} |
Question: How much better is our method than the baseline?
| Comparison Scope | Baselines | Datasets | Seeds | Min Runs |
|---|---|---|---|---|
| Minimal | 1 SOTA + 1 simple | 1 | 3 | 6 |
| Standard | 2-3 baselines | 2-3 | 5 | 30-45 |
| Comprehensive | 4+ baselines | 3-5 | 5-10 | 100+ |
| Publication-ready | All relevant | 5+ | 10+ | 200+ |
Optional, no fixed order; the final leaf is always a sop.
| Tactic | When to use |
|---|---|
| reproducibility-protocol | Ensure experiment reproducibility through systematic environment and seed control |
| statistical-method-selection |
| Select appropriate statistical methods for experiment analysis |
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| baseline-selection | Select appropriate baselines for experimental comparison |
| environment-specification | SOP: define complete experiment environment specification |
| metric-specification | Define experiment metrics and significance standards |
| sample-size-estimation | SOP: power analysis and required experiment count estimation |
| seed-protocol-design | SOP: design random seed strategy for reproducibility |