conda-env-manager skillA
conda-env-manager is agent-read markdown (skill) from cuhk-aim-group/neurodiscovery: Use this skill whenever the user wants to create, activate, list, export, update, clone, remove, or otherwise manage conda environments, or when a deep-learning / model skill requires a clean, isolated conda environment (e.g. 'create conda env for torch 2.3 cuda', 'export current env to yml', 'list all my conda envs', 'update packages in neuroclaw-dl', 'remove old env', 'clone env for reproducibility', 'install pytorch in new env'). Triggers include: 'conda create', 'conda env', 'make new enviro.
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Conda Environment Manager (Tool Layer) ## Overview Conda is the backbone for reproducible, cross-platform environments in NeuroClaw — especially for CUDA-dependent deep learning stacks (PyTorch, TensorFlow, MONAI, nnU-Net), neuroimaging tools (ANTs, FSL wrappers, nipype), and scientific computing packages. This skill acts as the **interface-layer orchestrator** for all common conda operations, preventing accidental modification of the base environment, reducing version conflicts, and enforcing best practices (isolated environments per project, environment.yml for reproducibility, explicit version pinning, dry-run previews). **Strict workflow (never skipped):** 1. Parse user intent from the request or context (create / export / update / remove / clone / list / activate guidance). 2. Detect current conda setup (`conda info`, active environment, disk space, conda version). 3. Propose a safe, best-practice plan: - Prefer `--name` over `--prefix` for readability - Always suggest creating a new environment instead of modifying base or existing ones - Recommend `environment.yml` for reproducibility and sharing - Use `--yes` only after explicit user confirmation …
Read the whole file at its exact version.
How to install
mdr add cuhk-aim-group/neurodiscovery/conda-env-manager@git:20260506.86420c0mdr add cuhk-aim-group/neurodiscovery/conda-env-manager@sha256:8c43f6f8837fb270Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_rvgo7nkczqh2hrym)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260506.86420c0 latest | 2026-05-06 | 86420c0 | 12,308 B | A | view · diff |
| git:20260505.e9ddd22 | 2026-05-05 | e9ddd22 | 12,304 B | A | view · diff |
| git:20260404.fa7f354 | 2026-04-04 | fa7f354 | 12,235 B | A | view · diff |
| git:20260328.891ed93 | 2026-03-28 | 891ed93 | 7,440 B | A | view · diff |
| git:20260325.72d2cbf | 2026-03-25 | 72d2cbf | 7,504 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 (12308 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
cuhk-aim-group/neurodiscovery · 91 stars · license MIT · pushed 2026-09-22 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_rvgo7nkczqh2hrym GET https://markdownregistry.com/api/v1/resolve?ref=cuhk-aim-group/neurodiscovery/conda-env-manager GET https://markdownregistry.com/api/v1/blob/8c43f6f8837fb270f8819a60dc7d352cf32b17874e857b27b4f757edc38964b2
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