OpenAgentSkillRegistry

Browse All Skills AI Skill Finder Use Cases Packs Compare

Gallery Rankings Creators

Blog Guides Reports Contact Sponsor

Docs Agent Entry API CLI

Star200+Submit Skill

Loading the next page

Superml Audit Report | OpenAgentSkill | OpenAgentSkill

OpenAgentSkillRegistry

Browse All Skills AI Skill Finder Use Cases Packs Compare

Gallery Rankings Creators

Blog Guides Reports Contact Sponsor

Docs Agent Entry API CLI

Star200+Submit Skill

Skills/Superml/Audit

Skill audit report

Superml Audit report.

An ML engineering plugin for your coding agents.

REVIEWED · REVIEWNeeds reviewGenerated Sep 21, 2026Heuristic metadata audit

75

Audit

75

Trust

66

Quality

87

Security

62

Maintain

92

Install

OpenAgentSkill Trust Score

75

Strong shortlist

The skill layer for AI agents: discover, compare, audit, and install reusable capabilities across Codex, Claude Code, Cursor, and agent runtimes.

Explore

Skills Gallery New submissions Agent Skills

More links

What Is an Agent Skill?AI Agent Skills Tasks Packs Best Skills New & Trending Workflow Recipes Use Cases Agents Agent Entry

Trust

Compare Safety Gate Skills Registry Rankings

More links

Outcome Loop Audits Official Weekly Reports Monthly Index State of Agent Skills vs skills.sh AgentSkills.io Alternative

Build

Docs About Contact Sponsor API

More links

llms.txt OpenAPI CLI Creator Kit Skill Creators X Growth Kit Submit Blog Guides Activity

OpenAgentSkill Registry

Privacy Contact SponsorBuilt for agent-native discovery

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

INFO

62

192 GitHub stars

Stars/forks activity

WARN

57

192 stars, 17 forks; issue activity unavailable in current metadata

Recent maintenance

INFO

62

6mo since push

License clarity

PASS

86

Apache-2.0

README/SKILL.md completeness

INFO

74

Public metadata needs stronger README/SKILL.md context

Dependency/runtime risk

PASS

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add Leeroo-AI/superml

Install command safety

PASS

92

standard package or runtime install path

Permission surface

PASS

86

filesystem or document access

Repository evidence

PASS

86

https://github.com/Leeroo-AI/superml

Review status

PASS

88

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

8 Passed · 7 Needs review

Install path

92

PASS

npx skills add Leeroo-AI/superml

Repository

88

PASS

https://github.com/Leeroo-AI/superml

License

86

PASS

Apache-2.0

Maintenance

62

CHECK

6mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

84

PASS

Usable description available

Dependency risk

90

PASS

no major dependency risk hints in public metadata

Install command safety

92

PASS

standard package or runtime install path

Permission surface

86

PASS

filesystem or document access

Stars/forks activity

57

FIX

192 stars, 17 forks; issue activity unavailable in current metadata

Adoption

68

INFO

192 GitHub stars

Financial decision safety

58

CHECK

Research-only use: do not treat output as financial advice or execute a position without human approval.

Warnings

Financial research output is not financial advice; require human review before any live investment decision
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
Stars/forks activity: 192 stars, 17 forks; issue activity unavailable in current metadata

Method

This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.

Install path

Review the report before installing into production agents.

Review the source

Agent-readable metadata

Machine decision packet

Embedded JSON exposes suited tasks, suited agents, install command, trust score, safety gate, alternatives, and do-not-use conditions for agent review.

Install policy: review
Best agents: Python + Multi-Agent
Alternatives: 3

Open agent JSON

Signals

Audit score: 75/100
Quality: 66/100
Trust: 75/100
Install safety: 92/100
Permission surface: 86/100
Maintenance: 6mo since push
Events: 1 events
GitHub stars: 192
Last push: Mar 17, 2026

Agent safety v2

59/100 · Avoid automatic install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Skill source structure is not confirmed in the registry. Inspect the source and identify valid skill instructions before proposing an installation. A repository URL or GitHub stars do not prove installability.

Skill source structure is not confirmed in the registry. Inspect the source and identify valid skill instructions before proposing an installation. A repository URL or GitHub stars do not prove installability.
Financial research output is not financial advice; require human review before any live investment decision
59/100 agent safety score

Network access

medium

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

Filesystem access

medium

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

Financial research output is not financial advice; require human review before any live investment decision

Back to skill Alternatives Audit badge SVG

Compare nearby options

Related skills to audit next

Firecrawl

The API to search, scrape, and interact with the web at scale. 🔥

139K Stars · Audit report

Daytona

Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code

72K Stars · Audit report

Ppt Master

AI generates a real, editable PowerPoint from any document — native shapes & animations, speaker notes voiced as audio narration, and the option to follow your own .pptx template, not slide images · by Hugo He

37K Stars · Audit report

Skill source structure is not confirmed in the registry. Inspect the source and identify valid skill instructions before proposing an installation. A repository URL or GitHub stars do not prove installability.