stable-baselines3 SKILL.md skillA
stable-baselines3 from k-dense-ai/scientific-agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add k-dense-ai/scientific-agent-skills/stable-baselines3@v2.0Pins v2.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- k-dense-ai/scientific-agent-skills
- Path
skills/stable-baselines3/SKILL.md- Versions recorded
- 6
- Latest version
- v2.0, committed Oct 1, 2026
- First version recorded
- Jun 11, 2026
- Size
- 14,862 bytes
- Repository stars
- 56,497
- License
- MIT
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.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Stable Baselines3 ## Overview Stable Baselines3 (SB3) is a PyTorch-based library providing reliable implementations of reinforcement learning algorithms. This skill provides comprehensive guidance for training RL agents, creating custom environments, implementing callbacks, and optimizing training workflows using SB3's unified API. **Current upstream:** SB3 **2.9.0** (June 15, 2026). Docs: [stable-baselines3.readthedocs.io](https://stable-baselines3.readthedocs.io/en/v2.9.0/). ## Installation Tested against **stable-baselines3 2.9.0**. Requires **Python 3.10+** (3.9 dropped in 2.8.0) and **PyTorch >= 2.8**. ```bash # Basic installation uv pip install "stable-baselines3==2.9.0" # With extra dependencies (TensorBoard, ale-py for Atari, etc.) uv pip install "stable-baselines3[extra]==2.9.0" ``` The 2.9.0 release supports Gymnasium >=0.29.1,<2.0; this review exercised Gymnasium 1.3.0, PyTorch 2.14.1 and Python 3.13 on CPU. pandas/matplotlib are now optional extras. Installation requires network unless packages are cached; local RL training needs no credentials or service endpoints. On zsh, quote brackets: `uv pip install 'stable-baselines3[extra]==2.9.0'`. …
Read the whole file at its exact version.
How to install
mdr add k-dense-ai/scientific-agent-skills/stable-baselines3@sha256:8383ae480e27163bThe line at the top of this page pins the label v2.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_hwn4g7zu7qo2n37g)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 6 versions of this file, between Jun 11, 2026 and Oct 1, 2026, about one every 22 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v2.0 latest | 2026-10-01 | a92663a | 14,862 B | A | view · diff |
| v1.4 | 2026-09-30 | ce9e6e9 | 12,116 B | A | view · diff |
| v1.3 | 2026-09-02 | 1e5eeff | 11,748 B | A | view · diff |
| v1.2 | 2026-08-29 | 72d742e | 10,791 B | A | view · diff |
| v1.1 | 2026-07-26 | b085e11 | 10,791 B | A | view · diff |
| git:20260611.1b8fae3 | 2026-06-11 | 1b8fae3 | 10,796 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (14862 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
k-dense-ai/scientific-agent-skills · 56,497 stars · license MIT · pushed 2026-11-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_hwn4g7zu7qo2n37g GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/stable-baselines3 GET https://markdownregistry.com/api/v1/blob/8383ae480e27163b9dbe1d9af822e05f0e85dd05b5bab1f6444588d57f569837
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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