BentoML

TRUSTED · 100

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

Downloads 0

Stars 8.7K

Version 1.0.0

Quality 100/100 · Excellent

Trust 100/100 · Production candidate

Audit 97/100 · Safe to try

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Excellent

100

High-confidence pick with strong adoption and healthy maintenance signals.

Trust

Production candidate

100

Strong trust signals across adoption, maintenance, install readiness, and review status.

Audit

Safe to try

Install readiness, security metadata, maintenance, and adoption risk.

Agent safety v2

89/100 · Safe to install with normal review

Safety v2 estimates whether an agent should auto-install this skill by combining audit risk, install readiness, inferred permission surface, and policy constraints.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

Install targets

Install this skill in your agent workflow

Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add bentoml/BentoML

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Install handoff

/api/skills/bentoml-bentoml/install

LLM text format

/api/skills/bentoml-bentoml/install?format=text

Find alternatives

/api/skills/search?q=BentoML&limit=3

Agent prompt

Use BentoML for this task. Review https://www.openagentskill.com/api/skills/bentoml-bentoml/install, then install with: npx skills add bentoml/BentoML

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Manifest

/api/registry/manifest/bentoml-bentoml

LLM text

/api/registry/manifest/bentoml-bentoml?format=text

Install alias

/api/registry/install/bentoml-bentoml

Recommend

/api/registry/recommend?task=Use%20BentoML%20in%20an%20agent%20workflow&limit=3

Agent fit

100/100

Browser automation

Use-case tags

Browser automation Coding agents RAG and knowledge

Platforms

Python, LLMOps, Claude Code

Audit report

Safe to try · 97/100

Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.

View audit report

Agent decision cockpit

Primary pick for Browser automation

Use this as a leading candidate, then validate the README and install path in your own agent stack.

100

Readiness

Adopt

Stage

Role in stack

Primary pick

Primary fit

Browser automation

Trust label

Production-ready

Install path

Command ready

Use when

Browser automation workflows
Claude Code teams
teams that value GitHub adoption signals

Evidence

8,672 GitHub stars
recent repository activity
install command or GitHub repo available
100/100 quality profile
2 OpenAgentSkill engagement events

Review first

No major risk signals from current metadata

Implementation path

1Install it in a sandbox agent and run one Browser automation task end to end.
2Compare output quality, latency, and failure behavior against at least one alternative.
3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Production candidate

Strong trust signals across adoption, maintenance, install readiness, and review status.

100

Trust score

Ownership

PASS

Listing manually verified

Install path

PASS

npx skills add bentoml/BentoML

Repository

PASS

https://github.com/bentoml/BentoML

License

PASS

Apache-2.0

Good signals

Manually verified listing
AI review approved
Recently maintained repository
Large GitHub adoption signal

Review before install

No major trust warnings detected from available metadata.

Recommended action

Shortlist for production use, then run a normal repository and dependency review.

Quality profile

Excellent candidate for agent workflows

High-confidence pick with strong adoption and healthy maintenance signals.

100

GitHub stars

8.7K

Freshness

9d ago

Install ready

Yes

License

Apache-2.0

Workflow fit

Use this skill in these scenarios

Operate web apps

Browser automation

I need my agent to control a browser, fill forms, and verify web app workflows.

Build and ship code

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Search private knowledge

RAG and knowledge

I need my agent to build a RAG workflow over documents and retrieve reliable context.

Stack fit

Add it to a complete workflow

Operate and verify web apps

Browser QA agent

A stack for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.

Turn skills into distribution

Content growth agent

A stack for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.

Inspect, patch, and verify code

Coding review agent

A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.

Alternative shortlist

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A comprehensive library of over 1,273 agentic skills for various AI coding assistants, featuring clear documentation and installation instructions.

Overview

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, domain workflow, RAG, document-processing, data, finance, security, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform Compatibility

pythonFULL

llmopsFULL

Technical Details

Version: 1.0.0
License: Apache-2.0
Last Updated: 6/12/2026
Published: 6/12/2026

Frameworks & Tools

PythonLLMOps

Decision snapshot

Primary pick

100

Ready

Adopt

Stage

8,672 GitHub stars

Audit Snapshot

Install and adoption review

Safe to try

Security: 87/100
Maintenance: 100/100
Install: 92/100

Open full audit

Install

Free and open source

Compare Alternatives View on GitHub Documentation

Growth loop

Share this skill

Scenario-led draft for BentoML, with the OpenAgentSkill Update theme and canonical URL.

OpenAgentSkill Update
Today: BentoML

Use it when you want your coding agent to carry more repo context and ship repetitive changes faster.

8.7K stars - development
Link: https://www.openagentskill.com/skills/bentoml-bentoml?ref=x
#AIAgents #OpenAgentSkill

Open X draft

Optional reply with install command

Link for BentoML:
https://www.openagentskill.com/skills/bentoml-bentoml?ref=x

Install: npx skills add bentoml/BentoML

Open reply draft

Are you the maintainer?

Claim this listing to add a verified owner signal and make future launch, install, and audit updates easier to trust.

README badge

Add this badge to your GitHub README to show the listing, trust score, and install handoff.

[![OpenAgentSkill](https://www.openagentskill.com/api/badge/bentoml-bentoml)](https://www.openagentskill.com/skills/bentoml-bentoml)

Preview badge Audit badge

Author

bentoml✓

@bentoml

Platform Fit

Claude Code

Health Signals

GitHub stars: 8.7K
Quality score: 69/100
Last GitHub push: Jun 3, 2026
Framework hints: 2
OpenAgentSkill views: 1
Install copies: 0
Outbound clicks: 0

Community Signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & Safety

Production candidate

100

OwnershipListing manually verifiedPASS
Install pathnpx skills add bentoml/BentoMLPASS
Repositoryhttps://github.com/bentoml/BentoMLPASS
LicenseApache-2.0PASS
Maintenance9d since pushPASS
AI reviewApproved with no listed issuesPASS

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BentoML

Trust, audit, and install readiness at a glance

89/100 · Safe to install with normal review

Network access

Filesystem access

Install this skill in your agent workflow

OpenAgentSkill CLI

Give an agent the install path, not another directory page.

Agent-readable profile for automatic skill selection.

Safe to try · 97/100

Primary pick for Browser automation

Production candidate

Excellent candidate for agent workflows

Use this skill in these scenarios

Browser automation

Coding agents

RAG and knowledge

Add it to a complete workflow

Browser QA agent

Content growth agent

Coding review agent

Compare before you install

Gemini CLI

System Prompts And Models Of AI Tools

Graphify

Antigravity Awesome Skills

Overview

Platform Compatibility

Technical Details

Primary pick

Audit Snapshot

Install

Share this skill

Are you the maintainer?

README badge

Author

Tags

Platform Fit

Health Signals

Community Signal

Trust & Safety

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