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。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill method-discovery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。
正在显示 SKILL.md
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
| name | method-discovery |
| description | Identify all relevant methods via literature, leaderboards, citation chains |
| execution | subagent |
| prompt | ./prompt.md |
| input | task_name, domain, known_methods |
Discover the complete set of methods that have been proposed and evaluated for a given task. Uses a multi-pronged search strategy combining leaderboard scraping, academic search, citation chain traversal, and survey paper mining.
| Field | Type | Description |
|---|---|---|
| task_name | string | The target task (e.g., "text summarization", "node classification") |
| domain | string | Research domain (e.g., "NLP", "graph learning", "computer vision") |
| known_methods | string[] | Already-known methods to seed citation chain traversal |
{
"methods": [
{
"name": "string",
"aliases": ["string"],
"year": 2024,
"authors": "string",
"venue": "string",
"family": "string",
"key_innovation": "string",
"paper_id": "string",
"source": "leaderboard|paper|citation_chain|preprint|survey"
}
],
"search_log": {
"leaderboards_checked": ["string"],
"queries_issued": ["string"],
"citation_chains_from": ["string"],
"surveys_consulted": ["string"]
}
}