Skill254 estrellas del repoactualizado 2mo ago

sibyl-rebuttal-experimentalist

The sibyl-rebuttal-experimentalist skill designs supplementary experiment plans to address weaknesses or gaps identified in research findings without executing those experiments. Use this skill during research critique and validation cycles when you need to propose methodologically sound follow-up studies that could strengthen or test the robustness of existing experimental conclusions.

Ver fuente Repositorio: AutoResearch-SibylSystem

Instalar en Claude Code

Copiar

git clone --depth 1 https://github.com/Sibyl-Research-Team/AutoResearch-SibylSystem /tmp/sibyl-rebuttal-experimentalist && cp -r /tmp/sibyl-rebuttal-experimentalist/.claude/skills/sibyl-rebuttal-experimentalist ~/.claude/skills/sibyl-rebuttal-experimentalist

Después abre una sesión nueva de Claude Code; el skill carga automáticamente.

Definición

SKILL.md

!`SIBYL_WORKSPACE="$ARGUMENTS[0]" ROUND_NUM="$ARGUMENTS[1]" .venv/bin/python3 -c "from sibyl.rebuttal.prompt_helpers import render_rebuttal_skill_prompt; import os; print(render_rebuttal_skill_prompt('rebuttal_experimentalist', workspace_path=os.environ.get('SIBYL_WORKSPACE',''), round_num=int(os.environ.get('ROUND_NUM','1') or '1')))"`

AGENT_NAME: sibyl-rebuttal-experimentalist
AGENT_TIER: sibyl-standard
SIBYL_ROOT: /Users/cwan0785/sibyl-system

Workspace path: $ARGUMENTS[0]
Round: $ARGUMENTS[1]

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