Skill audit report

Oterm audit report.

the terminal client for LLMs

REVIEWED · REVIEWSafe to tryGenerated Jul 3, 2026Heuristic metadata audit

Audit

Trust

100

Quality

Security

100

Maintain

Install

OpenAgentSkill Trust Score

Strong shortlist

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

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

PASS

2.4K GitHub stars

Stars/forks activity

INFO

2.4K stars, 134 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

100

25d since push

License clarity

PASS

MIT

README/SKILL.md completeness

INFO

Public metadata needs stronger README/SKILL.md context

Dependency/runtime risk

INFO

command execution surface

Install availability

PASS

npx skills add ggozad/oterm

Install command safety

PASS

standard package or runtime install path

Permission surface

INFO

shell or command execution, filesystem or document access

Repository evidence

PASS

https://github.com/ggozad/oterm

Review status

PASS

AI review data available

Agent Proven outcomes

INFO

No agent outcome data yet

Checks

Install and adoption review

8 passed · 4 review

Install path

PASS

npx skills add ggozad/oterm

Repository

PASS

https://github.com/ggozad/oterm

License

PASS

MIT

Maintenance

100

PASS

25d since push

AI review

PASS

Approved with no listed issues

README/SKILL.md completeness

PASS

Usable description available

Dependency risk

CHECK

command execution surface

Install command safety

PASS

standard package or runtime install path

Permission surface

CHECK

shell or command execution, filesystem or document access

Stars/forks activity

CHECK

2.4K stars, 134 forks; issue activity unavailable in current metadata

Adoption

PASS

2.4K 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.

$ npx skills add ggozad/oterm

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 + Machine Learning
Alternatives: 3

Open agent JSON

Signals

Audit score: 92/100
Quality: 100/100
Trust: 85/100
Install safety: 92/100
Permission surface: 62/100
Maintenance: 25d since push
Events: 1 events
GitHub stars: 2.4K
Last push: Jun 8, 2026

Agent safety v2

64/100 · 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.

High-risk permission hints: Shell or command execution
64/100 agent safety score

Shell or command execution

high

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

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.

High-risk permission hints: Shell or command execution
Documentation summary is thin

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Oterm audit report.

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

Install and adoption review

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