modal
modal is an MLOps & model serving skill for AI agents, published by maragudk in the fabrik repository on GitHub. Skillspace rates modal F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
Guide for running Python code on Modal, the serverless compute platform for AI workloads, batch jobs, scheduled tasks, web endpoints, and sandboxed code execution. Use this skill whenever the user is writing or modifying Modal code (anything importing `modal`, decorating with `@app.function`, `@app.cls`, `@modal.fastapi_endpoint`, etc.), running `modal run`/`modal deploy`/`modal serve`, configuring GPUs/images/volumes/secrets for Modal, or asking how to host inference, fine-tuning, or agent sandboxes on Modal.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 25
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.
Our review
- Architecture
- 93 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- High-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- references sensitive credential env
- dynamic code execution (eval/exec)
- mentions secrets in text
Not checked yet
- Category is a classifier prediction; no model has read this skill 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.