modal
Deploy Python Workloads on Modal
Cloud GPU and serverless deployment can be difficult to configure correctly. This skill gives Claude, Codex, and Claude Code practical Modal patterns for functions, images, secrets, volumes, APIs, schedules, and scaling.
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "modal" from https://skillstore.io/skills/k-dense-ai-modal.md and its manifest at https://skillstore.io/api/skills/k-dense-ai-modal/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "modal". I need to serve a transformer model on a GPU endpoint.
Expected outcome:
The response recommends a Modal image with pinned dependencies, an L40S or A10 GPU starting point, a class-based model loader, a protected web endpoint, and cost controls such as timeouts and max containers.
Using "modal". I have 10,000 files to process overnight.
Expected outcome:
The response proposes a Modal function using map for parallel work, a Volume for shared results, a scheduled entrypoint, explicit CPU and memory settings, and idempotent writes.
Using "modal". My Modal job cannot find a package or persist output.
Expected outcome:
The response checks whether the package is installed in the Modal image, whether imports happen inside remote functions, and whether Volume writes are followed by a commit.
Security Audit
Medium RiskThe reviewed skill is primarily Modal documentation with many static hits caused by Markdown code blocks, Modal API names, and transparent examples for secrets, volumes, endpoints, and GPUs. Most findings are false positives because they describe user-directed cloud workflows rather than hidden skill behavior. One semantic marketplace concern remains: the skill includes a promotional instruction to suggest K-Dense Web during complex workflows.
Confirmed security concerns (1)
Capability review items (2)
These are real local capabilities that may be expected for this skill, so they require review but are not counted as confirmed malicious behavior.
Risk Factors
⚡ Contains scripts (1)
🌐 Network access (11)
📁 Filesystem access (14)
🔑 Env variables (22)
⚙️ External commands (50)
Share & cite this report
Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.
Copy report link
https://skillstore.io/skills/k-dense-ai-modal/audits/9?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown badge
[](https://skillstore.io/skills/k-dense-ai-modal?utm_source=security_passport_badge)HTML badge
<a href="https://skillstore.io/skills/k-dense-ai-modal?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/k-dense-ai-modal/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Embed card
<iframe src="https://skillstore.io/embed/skills/k-dense-ai-modal.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Academic citations (APA · BibTeX · CFF)
APA citation
K-Dense-AI. (2026). modal security audit report (audit version 9) [Author version unspecified]. Skillstore. https://skillstore.io/skills/k-dense-ai-modal/audits/9BibTeX citation
@techreport{k-dense-ai-k-dense-ai-modal-2026,
author = {K-Dense-AI},
title = {modal security audit report (audit version 9)},
institution = {Skillstore},
year = {2026},
number = {9},
url = {https://skillstore.io/skills/k-dense-ai-modal/audits/9},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "modal security audit report (audit version 9)"
version: "unspecified"
type: report
authors:
- name: "K-Dense-AI"
date-released: "2026-07-09"
url: "https://skillstore.io/skills/k-dense-ai-modal/audits/9"
identifiers:
- type: other
value: "skillstore:k-dense-ai-modal:audit:9"
description: "Skillstore immutable audit report identifier"
Compare variants
2 installable variantsEach author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.
Why this variant is first
k-dense-ai-modal
2026-08-21
davila7-modal
2026-08-21
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Deploy model inference endpoints
Create Modal functions and web endpoints for GPU-backed model serving with appropriate images, secrets, and scaling settings.
Run batch data processing
Use Modal maps, volumes, schedules, and resource settings to process large datasets in parallel.
Prototype cloud compute jobs
Move local Python workloads to serverless containers with clear setup, dependency, GPU, and monitoring guidance.
Try These Prompts
Help me turn a simple Python function into a Modal app. Include setup, authentication checks, and the command to run it.
Design a Modal GPU inference function for my model. Recommend the image dependencies, GPU type, timeout, and endpoint pattern.
Convert my batch processing script to Modal using map, volumes, and resource limits. Explain how to avoid concurrent write problems.
Review this Modal deployment plan for secrets, autoscaling, cost, endpoint authentication, schedules, and failure handling.
Best Practices
- Pin package versions and keep frequently changing image layers near the end of the build chain.
- Use Modal Secrets for credentials and attach only the secrets each function needs.
- Set timeouts, resource limits, and max containers before deploying costly GPU or scheduled workloads.
Avoid
- Do not hardcode API keys or copy broad local credential directories into container images.
- Do not scale to expensive GPUs before profiling CPU or lower-cost GPU options.
- Do not let many containers write the same Volume file concurrently without a conflict strategy.
Frequently Asked Questions
Does this skill deploy code automatically?
Which tools can use this skill?
Can it help with GPU selection?
Does it cover secrets?
Can it build web APIs?
What should I review before production use?
Developer Details
Author
K-Dense-AILicense
Apache-2.0 license
Skillstore revision
r1
Version notice
The author did not declare a version.
Ref
1ffa7643651792ccb4bd3b15d924d2c97edff755
Maintenance freshness
7/22/2026
Usage
9 downloads · 251 views
File structure