Skill audit report
Edit-Pass für bestehenden deutschen Text: Register/Rhythmus messen, belegtreu redigieren, Naturalness prüfen, KI-Schreibmuster/KI-Tells auditieren und entfernen; deutschen Text humanisieren; German AI Text Humanizer.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
98 GitHub stars
Stars/forks activity
WARN48
98 stars, 10 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
2mo since push
License clarity
PASS86
NOASSERTION
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO72
command execution surface
Install availability
PASS92
npx skills add marmbiz/humanizer-de --skill humanizer-de
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO62
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/marmbiz/humanizer-de/blob/main/SKILL.md
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add marmbiz/humanizer-de --skill humanizer-de
Repository
88
https://github.com/marmbiz/humanizer-de/blob/main/SKILL.md
License
86
NOASSERTION
Maintenance
88
2mo since push
AI review
55
Repository license detected by GitHub as NOASSERTION; plugin.json declares MIT AND CC-BY-SA-4.0 but no LICENSE file is evident in the provided excerpt.
README/SKILL.md completeness
86
Usable description available
Dependency risk
72
command execution surface
Install command safety
92
standard package or runtime install path
Permission surface
62
shell or command execution, filesystem or document access
Stars/forks activity
48
98 stars, 10 forks; issue activity unavailable in current metadata
Adoption
68
98 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Warnings
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.
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