ClawHub

Keras

v1.0.0

Build, train, and debug deep learning models with Keras patterns, layer recipes, and training diagnostics.

⭐ 2· 446·7 current·7 all-time
byIván@ivangdavila
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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high confidence
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Purpose & Capability
Name/description (Keras modeling, training, debugging) align with the files and instructions: architecture recipes, layer patterns, training diagnostics. Required binary is only python3 and there are no unrelated environment variables or config paths.
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Instruction Scope
SKILL.md and supporting docs limit actions to advising, creating a small ~/keras/ memory directory (only with user consent), producing code examples, and optionally downloading pretrained weights (noted explicitly). There are no instructions to read unrelated system files, access credentials, or send data to unknown endpoints.
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Install Mechanism
This is an instruction-only skill with no install spec and no code to write to disk beyond optionally creating ~/keras/ (after asking the user). That is the lowest install risk.
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Credentials
The skill declares no required environment variables or credentials. All suggested operations (training code, saving models, TensorFlow weight downloads) are proportional to a Keras helper; nothing asks for unrelated secrets or cloud credentials.
✓
Persistence & Privilege
always is false and the skill only stores preferences in ~/keras when the user explicitly confirms. It does not request permanent system-wide privileges or modify other skills' configs.
Assessment
This skill appears internally consistent and focused on Keras workflows. Before installing, note: (1) it will ask before creating ~/keras/ and storing preferences there — confirm if you want that; (2) transfer-learning examples may download pretrained weights from TensorFlow model hubs (network activity) — set weights=None for full offline use; (3) it needs python3 available on PATH; and (4) it does not request any tokens/credentials or instruct data uploads. If you want extra caution, review and approve any file writes the first time it runs.

Like a lobster shell, security has layers — review code before you run it.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.
Termshttps://spdx.org/licenses/MIT-0.html

Runtime requirements

🧠 Clawdis
OSLinux · macOS · Windows
Binspython3

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