dependency-planner skillA
dependency-planner is agent-read markdown (skill) from cuhk-aim-group/neurodiscovery: Use this skill whenever a NeuroClaw skill, model, or sub-agent reports a missing dependency (e.g. ImportError, ModuleNotFoundError, command not found), or when the user explicitly requests to install, setup, configure, or fix any library, package, compiler, CUDA toolkit, conda environment, system tool, or git-based repository. Triggers include: 'install', 'setup', 'missing dependency', 'fix import error', 'install torch cuda', 'conda create environment', 'pip install from git', 'install nnU-Net'.
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
# Dependency Installation Planner (Tool Layer) ## Overview Many NeuroClaw skills (especially deep-learning, neuroimaging, and custom model execution skills) fail due to missing dependencies — a key pain point identified in the MedicalClaw / OpenClaw-Medical-Skills evaluation. This skill acts as the **interface-layer planner** that ensures safe, reproducible, auditable, and user-approved installations across the entire NeuroClaw hierarchy (interface → subagent → base tool). **Strict workflow (never bypassed):** 1. Parse the exact dependency/dependencies from the user request or error message. 2. Automatically detect the local environment: OS family & version, architecture, Python version, conda/pip/virtualenv status, GCC version, NVCC/CUDA version (if GPU-relevant), available disk space & RAM. 3. For each required package/tool, invoke the already-existing `multi-search-engine` skill (with **Google search priority**) to retrieve the **latest official installation instructions** from the authoritative source (e.g. pytorch.org, conda-forge, nvidia.com, github.com releases page, official docs). …
Read the whole file at its exact version.
How to install
mdr add cuhk-aim-group/neurodiscovery/dependency-planner@git:20260506.86420c0mdr add cuhk-aim-group/neurodiscovery/dependency-planner@sha256:e7118e9554cfccf5Pin 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_kc2gjvrqh5zvlvsz)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260506.86420c0 latest | 2026-05-06 | 86420c0 | 14,255 B | A | view · diff |
| git:20260505.e9ddd22 | 2026-05-05 | e9ddd22 | 14,251 B | A | view · diff |
| git:20260404.fa7f354 | 2026-04-04 | fa7f354 | 14,165 B | A | view · diff |
| git:20260325.72d2cbf | 2026-03-25 | 72d2cbf | 8,904 B | A | view · diff |
| git:20260325.df6f256 | 2026-03-25 | df6f256 | 8,836 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 (14255 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_kc2gjvrqh5zvlvsz GET https://markdownregistry.com/api/v1/resolve?ref=cuhk-aim-group/neurodiscovery/dependency-planner GET https://markdownregistry.com/api/v1/blob/e7118e9554cfccf54d8f122cffdc2428ca1ae6d7d343adb97cb19415a08249ed
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