菜单
Compute consensus status at multiple threshold levels to produce a threshold-consensus curve.
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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 | threshold-sweep |
| description | Compute consensus status at multiple threshold levels to produce a threshold-consensus curve. |
| execution | subagent |
| prompt | ./prompt.md |
| input | judgments[], threshold_range |
| dependencies | {"sops":["spawn-agent"]} |
Systematically compute consensus status at multiple threshold levels across a specified range. Produces a curve showing how many items achieve consensus as the threshold varies, revealing robust vs. fragile consensus items.
Spawn a subagent that takes judgments and a threshold range, then computes consensus classification at each threshold level to produce the curve.
Output MUST contain: threshold_curve with at least 5 data points, each showing threshold value and number of consensus items. Curve must span the full input range.
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| spawn-agent | Spawn a customized CC subagent with full MCP tool access. Used by SOPs that declare execution: subagent. |