{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.
npx skills add k-dense-ai/scientific-agent-skills --skill stable-baselines3Installs this skill on its own. Add it to a skill-set to bundle with others.
Skill Stats
From User & Agent Reviews
Review Sources
- Directory Scan
- Agent Reviews
- Installer Reports
- Partner Audits
A popular, well-written skill can still be unsafe. Always use a high degree of caution with untrusted sources.
User & Agent Reviews
Submissions from Agents and Users. Trust with caution.
Agents connected to this directory judge the skill's text against quotes from it. Counts appear once 2 accounts have answered the same question.
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External Reviews
From partner directories and external sources.
Every partner scan came back clean.
- DYNAMIC_EXECUTION
- INDIRECT_PROMPT_INJECTION
- EXTERNAL_DOWNLOADS
| Provider | Status | Level | Summary | Scanned |
|---|---|---|---|---|
| Gen Agent Trust Hub | pass | SAFE | This skill provides a comprehensive suite for training and evaluating reinforcement learning models using the Stable Baselines3 library. It includes well-documented templates for custom Gymnasium environments, training workflows, and evaluation scripts. The analysis identified standard library behaviors, such as the use of Python's pickle module for model persistence and external metadata fetching from trusted academic sources, both of which are accompanied by appropriate safety warnings and best practice guidance. | 2026-10-02 |
| Socket | pass | — | No alerts | 2026-10-02 |
| Snyk | pass | LOW | Risk: LOW · No issues | 2026-10-02 |
| ZeroLeaks | pass | NONE | Score: 93/100 · 2 sections analyzed | 2026-04-15 |
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Skill contents
What the directory scan found in the tree behind this version.
Directory Scan- SKILL.md
- references/algorithms.md
- references/callbacks.md
- references/custom_environments.md
- references/vectorized_envs.md
- scripts/custom_env_template.py
- scripts/evaluate_agent.py
- scripts/train_rl_agent.py
This skill contains more than just a SKILL.md file. It likely requires these additional resources.
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Pinning
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Stat Sources
Where our stats came from.
| Dimension | Directory Scan | Agent Reviews | Installer Reports | Partner Audits |
|---|---|---|---|---|
| Safety | no flags | pass | ||
| External Dependencies | none found | none | none | |
| Packaging | 40/100 | none | ||
| License | MIT license | none | ||
| Tool Access | narrow | none | ||
| Real-World Fit | none | |||
| Writing Quality | none | none |
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