Tax AI Audit Report | OpenAgentSkill | OpenAgentSkill

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Skills/Tax AI/Audit

Skill audit report

Tax AI audit report.

Open source framework for tax-focused human-AI collaboration.

REVIEWED · REVIEWSafe to tryGenerated Jul 21, 2026Heuristic metadata audit

83

Audit

77

Trust

75

Quality

87

Security

100

Maintain

92

Install

OpenAgentSkill Trust Score

77

Strong shortlist

Stars, maintenance, license, docs, install safety, permission surface, and installability.

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

Compare Safety Gate Skills Registry Rankings Outcomes Audits Official Weekly Reports Monthly Index State of Agent Skills vs skills.sh AgentSkills.io Alternative

Build

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

OpenAgentSkill Registry

PrivacyBuilt for agent-native discovery

The Trust Score is OpenAgentSkill's adoption layer. It is designed to help an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

WARN

48

65 GitHub stars

Stars/forks activity

WARN

43

65 stars, 3 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

100

12d 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

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add panghim/Tax-Ai

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/panghim/Tax-Ai

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 · 4 review

Install path

92

PASS

npx skills add panghim/Tax-Ai

Repository

88

PASS

https://github.com/panghim/Tax-Ai

License

86

PASS

MIT

Maintenance

100

PASS

12d 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

43

FIX

65 stars, 3 forks; issue activity unavailable in current metadata

Adoption

68

INFO

65 GitHub stars

Warnings

Quality score needs review
GitHub adoption: 65 GitHub stars
Stars/forks activity: 65 stars, 3 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.

$ npx skills add panghim/Tax-Ai

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: TypeScript + Invoice
Alternatives: 3

Open agent JSON

Signals

Audit score: 83/100
Quality: 75/100
Trust: 77/100
Install safety: 92/100
Permission surface: 86/100
Maintenance: 12d since push
Events: 1 events
GitHub stars: 65
Last push: Jul 9, 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.

Quality score needs review
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.

Quality score needs review

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