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Elasticdl Audit Report | OpenAgentSkill | OpenAgentSkill

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Skills/Elasticdl/Audit

Skill audit report

Elasticdl Audit report.

Kubernetes-native Deep Learning Framework

EXPERIMENTAL · REVIEWNeeds reviewGenerated Sep 23, 2026Heuristic metadata audit

64

Audit

71

Trust

55

Quality

86

Security

20

Maintain

92

Install

OpenAgentSkill Trust Score

71

Manual review

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

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OpenAgentSkill Trust Score

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

GitHub adoption

INFO

76

745 GitHub stars

Stars/forks activity

INFO

71

745 stars, 115 forks; issue activity unavailable in current metadata

Recent maintenance

FAIL

22

3y since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

INFO

74

Public metadata needs stronger README/SKILL.md context

Dependency/runtime risk

PASS

82

database surface

Install availability

PASS

92

npx skills add sql-machine-learning/elasticdl

Install command safety

PASS

92

standard package or runtime install path

Permission surface

INFO

74

filesystem or document access, database access

Repository evidence

PASS

86

https://github.com/sql-machine-learning/elasticdl

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 · 10 Needs review

Install path

92

PASS

npx skills add sql-machine-learning/elasticdl

Repository

88

PASS

https://github.com/sql-machine-learning/elasticdl

License

86

PASS

MIT

Maintenance

20

FIX

3y since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

84

PASS

Usable description available

Dependency risk

82

PASS

database surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

74

CHECK

filesystem or document access, database access

Stars/forks activity

71

CHECK

745 stars, 115 forks; issue activity unavailable in current metadata

Adoption

88

PASS

745 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

Repository appears stale
Financial research output is not financial advice; require human review before any live investment decision
Repository looks stale
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
Recent maintenance: 3y since push

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 + Kubernetes
Alternatives: 3

Open agent JSON

Signals

Audit score: 64/100
Quality: 55/100
Trust: 71/100
Install safety: 92/100
Permission surface: 74/100
Maintenance: 3y since push
Events: 5 events
GitHub stars: 745
Last push: Jan 26, 2024

Agent safety v2

44/100 · Avoid automatic install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous 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.
Repository appears stale
44/100 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.

Database access

medium

Skill may inspect schemas, query databases, or work with persistent stores.

Repository appears stale

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