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QTAF Audit Report | OpenAgentSkill | OpenAgentSkill

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Skills/QTAF/Audit

Skill audit report

QTAF Audit report.

QTA test framework

EXPERIMENTAL · REVIEWNeeds reviewGenerated Sep 9, 2026Heuristic metadata audit

69

Audit

72

Trust

55

Quality

78

Security

62

Maintain

92

Install

OpenAgentSkill Trust Score

72

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

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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

76

525 GitHub stars

Stars/forks activity

INFO

71

525 stars, 154 forks; issue activity unavailable in current metadata

Recent maintenance

INFO

62

7mo since push

License clarity

WARN

42

Unknown

README/SKILL.md completeness

WARN

50

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 Tencent/QTAF

Install command safety

PASS

92

standard package or runtime install path

Permission surface

PASS

100

no high-risk permission surface in public metadata

Repository evidence

PASS

86

https://github.com/Tencent/QTAF

Review status

PASS

88

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

7 Passed · 9 Needs review

Install path

92

PASS

npx skills add Tencent/QTAF

Repository

88

PASS

https://github.com/Tencent/QTAF

License

45

CHECK

Unknown

Maintenance

62

CHECK

7mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

50

CHECK

Description is too thin for confident adoption

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

100

PASS

no high-risk permission surface in public metadata

Stars/forks activity

71

CHECK

525 stars, 154 forks; issue activity unavailable in current metadata

Adoption

88

PASS

525 GitHub stars

Warnings

License is unclear
Documentation summary is thin
Quality score needs review
License clarity: Unknown
README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context

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 + Testing
Alternatives: 3

Open agent JSON

Signals

Audit score: 69/100
Quality: 55/100
Trust: 72/100
Install safety: 92/100
Permission surface: 100/100
Maintenance: 7mo since push
Events: 12 events
GitHub stars: 525
Last push: Feb 10, 2026

Agent safety v2

57/100 · 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.
License is unclear
57/100 agent safety score

Network access

medium

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

License is unclear
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.

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