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Rigel Audit Report | OpenAgentSkill | OpenAgentSkill

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Skills/Rigel/Audit

Skill audit report

Rigel Audit report.

🌌 Colorscheme for vim, terminal, vscode and slack - based on the star Rigel ✨.

EXPERIMENTAL · REVIEWNeeds reviewGenerated Sep 22, 2026Heuristic metadata audit

70

Audit

71

Trust

61

Quality

77

Security

62

Maintain

92

Install

OpenAgentSkill Trust Score

71

Manual review

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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OpenAgentSkill Trust Score

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

GitHub adoption

INFO

76

510 GitHub stars

Stars/forks activity

INFO

65

510 stars, 35 forks; issue activity unavailable in current metadata

Recent maintenance

INFO

62

8mo since push

License clarity

WARN

42

Unknown

README/SKILL.md completeness

INFO

74

Public metadata needs stronger README/SKILL.md context

Dependency/runtime risk

INFO

72

command execution surface

Install availability

PASS

92

npx skills add Rigellute/rigel

Install command safety

PASS

92

standard package or runtime install path

Permission surface

INFO

62

shell or command execution, filesystem or document access

Repository evidence

PASS

86

https://github.com/Rigellute/rigel

Review status

PASS

88

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

6 Passed · 11 Needs review

Install path

92

PASS

npx skills add Rigellute/rigel

Repository

88

PASS

https://github.com/Rigellute/rigel

License

45

CHECK

Unknown

Maintenance

62

CHECK

8mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

84

PASS

Usable description available

Dependency risk

72

CHECK

command execution surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

62

CHECK

shell or command execution, filesystem or document access

Stars/forks activity

65

CHECK

510 stars, 35 forks; issue activity unavailable in current metadata

Adoption

88

PASS

510 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

License is unclear
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
License clarity: Unknown

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: Vim Script + Markdown
Alternatives: 3

Open agent JSON

Signals

Audit score: 70/100
Quality: 61/100
Trust: 71/100
Install safety: 92/100
Permission surface: 62/100
Maintenance: 8mo since push
Events: 1 events
GitHub stars: 510
Last push: Jan 22, 2026

Agent safety v2

42/100 · 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.
High-risk permission hints: Shell or command execution
42/100 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.

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