fal-serverless-guide

fal-serverless-guide is an MLOps & model serving skill for AI agents, published by JosiahSiegel in the claude-plugin-marketplace repository on GitHub. Skillspace rates fal-serverless-guide F (47/100) and the safety scan flagged it for review; the rating is based on static analysis only.

Complete fal.ai serverless deployment system. PROACTIVELY activate for: (1) Creating fal.App class, (2) GPU machine selection (T4/A10G/A100/H100), (3) setup() for model loading, (4) @fal.endpoint decorators, (5) Persistent volumes for weights, (6) Secrets management, (7) Scaling configuration (min/max concurrency), (8) Multi-GPU deployment, (9) fal deploy commands, (10) Local development with fal run. Provides: App structure, Dockerfile patterns, deployment commands, scaling config. Ensures production-ready serverless ML deployment.

Grade
F
Quality
47 / 100
Safety
Needs review
GitHub stars
48

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

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

View source on GitHubJosiahSiegel/claude-plugin-marketplace

Our review

Architecture
62 / 100
Maturity
Basic: a single SKILL.md
Security scan
Medium-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • reads environment variables
  • 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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