Skill All skills & plugins / Scientific Agent Skills (K-Dense)
stable-baselines3
Trains and evaluates single-agent reinforcement learning with Stable Baselines3 (PPO, SAC, DQN, TD3, DDPG, A2C), Gymnasium custom environments, vectorized rollouts, callbacks, and checkpoint normalization. Applies to reproducible RL experiments, continuous control, discrete actions, and SB3-Contrib recurrent or masked policies.
- Type
- Skill by K-Dense Inc.
- Catalog
- Scientific Agent Skills (K-Dense)
- Source
- K-Dense-AI/scientific-agent-skills/skills/stable-baselines3 (8 files scanned)
- Install and details
- Agent Skills Index entry
- License
- MIT license (SKILL.md frontmatter)
- Signals
- Pre-approved shellBundled scripts
Pre-approved tools
Shell (any command). Tools listed in allowed-tools (or an agent's tools) can be used without a permission prompt while the skill is active, depending on your agent and settings.
| Kind | Tools |
|---|---|
| read/search | Read |
| write/edit files | WriteEdit |
| shell, any command | Bash |
Declared in stable-baselines3/SKILL.md.
Hooks
No hooks.
MCP servers and apps
None.
Bundled code
3 code files (Python):
stable-baselines3/scripts/evaluate_agent.pystable-baselines3/scripts/custom_env_template.pystable-baselines3/scripts/train_rl_agent.py
Network calls
No HTTP or socket call pattern found in the code.
Starts other programs
No subprocess, exec or eval pattern found.
Credentials referenced
No key, token or secret environment variable found in code or MCP config.
Static scan of commit 5f2bc03 on 2026-10-27. Signals are patterns found in the files, not a verdict: a network call can be the whole point of a skill. Read the linked lines before you decide. How the scan works.