/sibyl-experimenter

Sibyl 实验执行 agent - 编写代码并在远程 GPU 上执行实验

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sibyl-research-team@sibyl-research-team

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From plugin

autoresearch-sibylsystem

27846 skills3 agents15 commands

Install

$ npx -y skills add Sibyl-Research-Team/AutoResearch-SibylSystem --skill sibyl-experimenter --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.
You can call itInvoke it directly when you want it.
Slash command/sibyl-experimenter

Context preview

The summary Claude sees to decide when to auto-load this skill.

Sibyl 实验执行 agent - 编写代码并在远程 GPU 上执行实验

SKILL.md

sibyl-experimenter.SKILL.md

name: sibyl-experimenter
description: Sibyl 实验执行 agent - 编写代码并在远程 GPU 上执行实验
context: fork
agent: sibyl-standard
user-invocable: false
allowed-tools: Read, Write, Glob, Grep, Bash, WebSearch, WebFetch, mcp__ssh-mcp-server__execute-command, mcp__ssh-mcp-server__upload, mcp__ssh-mcp-server__download, mcp__ssh-mcp-server__list-servers, Skill

!`SIBYL_WORKSPACE="$ARGUMENTS[0]" .venv/bin/python3 -c "from sibyl.orchestrate import render_skill_prompt; import os; ws = os.environ.get('SIBYL_WORKSPACE', ''); print(render_skill_prompt('experimenter', workspace_path=ws))"`

AGENT_NAME: sibyl-experimenter AGENT_TIER: sibyl-standard SIBYL_ROOT: /Users/cwan0785/sibyl-system

Workspace path: $ARGUMENTS[0] MODE: $ARGUMENTS[1] SSH server: $ARGUMENTS[2] Remote base: $ARGUMENTS[3] Remote env command: $ARGUMENTS[4] GPU IDs: $ARGUMENTS[5] Optional --tasks: $ARGUMENTS[6] (if present, format: --tasks=task_1a,task_1b)

Read it on GitHub ↗

Ships withautoresearch-sibylsystem

Fully Autonomous AI Research System with Self-Evolution, built natively on Claude Code

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Python JavaScript Node Bash Linux

+6 tags

Git GitHub LaTeX Anthropic OpenAI MCP

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