Skill audit report

Nfstream Audit report.

NFStream: a Flexible Network Data Analysis Framework.

REVIEWED · REVIEWSafe to tryGenerated Oct 12, 2026Heuristic metadata audit

Audit

Trust

Quality

Security

Maintain

Install

OpenAgentSkill Trust Score

Production candidate

OpenAgentSkill Trust Score

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

GitHub adoption

PASS

1.2K GitHub stars

Stars/forks activity

INFO

1.2K stars, 143 forks; issue activity unavailable in current metadata

Recent maintenance

INFO

4mo since push

License clarity

PASS

LGPL-3.0

README/SKILL.md completeness

INFO

Public metadata needs stronger README/SKILL.md context

Dependency/runtime risk

PASS

no major dependency risk hints in public metadata

Install availability

PASS

npx skills add nfstream/nfstream

Install command safety

PASS

standard package or runtime install path

Permission surface

PASS

network or browser access

Repository evidence

PASS

https://github.com/nfstream/nfstream

Review status

PASS

AI review data available

Agent Proven outcomes

INFO

No agent outcome data yet

Checks

Install and adoption review

9 Passed · 3 Needs review

Install path

PASS

npx skills add nfstream/nfstream

Repository

PASS

https://github.com/nfstream/nfstream

License

PASS

LGPL-3.0

Maintenance

CHECK

4mo since push

AI review

PASS

Approved with no listed issues

README/SKILL.md completeness

PASS

Usable description available

Dependency risk

PASS

no major dependency risk hints in public metadata

Install command safety

PASS

standard package or runtime install path

Permission surface

PASS

network or browser access

Stars/forks activity

CHECK

1.2K stars, 143 forks; issue activity unavailable in current metadata

Adoption

PASS

1.2K GitHub stars

Warnings

Documentation summary is thin

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 + Data Analysis
Alternatives: 3

Open agent JSON

Signals

Audit score: 88/100
Quality: 96/100
Trust: 86/100
Install safety: 92/100
Permission surface: 86/100
Maintenance: 4mo since push
Events: 22 events
GitHub stars: 1.2K
Last push: Jun 9, 2026

Agent safety v2

76/100 · Avoid automatic install

Reviewedreview

Good audit and safety signals with no high-risk permission hints in public metadata.

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.
Safe-to-try audit
76/100 agent safety score

Network access

medium

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

Documentation summary is thin
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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