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Svglib Audit Report | OpenAgentSkill | OpenAgentSkill

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Skills/Svglib/Audit

Skill audit report

Svglib Audit report.

Read SVG files and convert them to other formats.

REVIEWED · REVIEWNeeds reviewGenerated Sep 8, 2026Heuristic metadata audit

83

Audit

79

Trust

77

Quality

87

Security

88

Maintain

92

Install

OpenAgentSkill Trust Score

79

Strong shortlist

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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Trust

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Build

Docs About Contact API llms.txt OpenAPI CLI Creator Kit Featured Creators X Growth Kit Submit Blog Guides Activity

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Privacy ContactBuilt 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

370 GitHub stars

Stars/forks activity

INFO

62

370 stars, 86 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

3mo since push

License clarity

PASS

86

LGPL-3.0

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 deeplook/svglib

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/deeplook/svglib

Review status

PASS

88

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

9 Passed · 5 Needs review

Install path

92

PASS

npx skills add deeplook/svglib

Repository

88

PASS

https://github.com/deeplook/svglib

License

86

PASS

LGPL-3.0

Maintenance

88

PASS

3mo 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

62

CHECK

370 stars, 86 forks; issue activity unavailable in current metadata

Adoption

68

INFO

370 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

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.

$ npx skills add deeplook/svglib

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 + PDF
Alternatives: 3

Open agent JSON

Signals

Audit score: 83/100
Quality: 77/100
Trust: 79/100
Install safety: 92/100
Permission surface: 86/100
Maintenance: 3mo since push
Events: 8 events
GitHub stars: 370
Last push: Jun 18, 2026

Agent safety v2

67/100 · Review before install

Reviewed with permission notesreview

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

Require human approval before installing into a real workspace.

Financial research output is not financial advice; require human review before any live investment decision
67/100 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

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