hf-dynacell

hf-dynacell is an MLOps & model serving skill for AI agents, published by mehta-lab in the VisCy repository on GitHub. Skillspace rates hf-dynacell F (51/100) and it passed the safety scan; the rating is based on static analysis only.

Develop, deploy, and maintain the DynaCell virtual-staining HuggingFace demo hosted at biohub/dynacell (ZeroGPU). Covers hosting in the biohub Dynacell resource group, the private-artifacts + HF_TOKEN access model, ZeroGPU configuration, and the deploy/smoke-test workflow. Use when the user asks to "push the dynacell space", "update the dynacell demo", "upload checkpoints", "deploy the hf space", mentions biohub/dynacell, or works in applications/dynacell/examples/hf_demo/.

Grade
F
Quality
51 / 100
Safety
Passed
GitHub stars
102

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubmehta-lab/VisCy

Our review

Architecture
76 / 100
Maturity
Basic: a single SKILL.md
Security scan
Low-risk patterns
License
BSD-3-Clause
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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