Agent-Skills.md

Agent Skills: Smolagents

Run Hugging Face Smolagents as a code-as-action deep research agent with optional web search and model backends. Use when a benchmark needs explicit intermediate tool actions, code execution, or an open-source agent framework.

UncategorizedID: closedloop-technologies/awesome-deep-researchers/deep-research-smolagents

Repository

closedloop-technologies/awesome-deep-researchers
closedloop-technologiesLicense: MIT
71

Install this agent skill to your local

pnpm dlx add-skill https://github.com/closedloop-technologies/climbhill/tree/HEAD/.agents/skills/deep-research-smolagents

Skill Files

Browse the full folder contents for deep-research-smolagents.

Download Skill

Loading file tree…

.agents/skills/deep-research-smolagents/SKILL.md

Skill Metadata

Name
deep-research-smolagents
Description
Run Hugging Face Smolagents as a code-as-action deep research agent with optional web search and model backends. Use when a benchmark needs explicit intermediate tool actions, code execution, or an open-source agent framework.

Smolagents

Use this skill when the research task benefits from tool use, code execution, and explicit intermediate actions.

Environment

op run --env-file .env.climbhill -- python .agents/skills/deep-research-smolagents/scripts/agent.py \
  --task "Find current deep research APIs and summarize cost controls" \
  --model openai \
  --model-id gpt-4o-mini \
  --web-search

Common 1Password-backed variables:

  • HF_TOKEN
  • OPENAI_API_KEY
  • ANTHROPIC_API_KEY

Cost Controls

  • Use economical model IDs for benchmark tasks.
  • Keep max_steps low in the script configuration.
  • Enable web search only when the prompt requires current sources.

Source Link

  • https://github.com/huggingface/smolagents