Skill audit report
Не для обхода детекторов; не для текста, который тебе не принадлежит. Находит следы машинного текста в русском и объясняет их; переписывает только по явной просьбе; вердиктов об авторстве нет. Отвечает на просьбы вида «очеловечь», «убери гпт-шность», «звучит как нейросеть», «проверь на ИИ», «убери штампы», «убери канцелярит», «сделай живым», «вставка из чата», «копипаста из ChatGPT», contentReference, utm_source, невидимые символы, машинная типографика (40 regex-маркеров, у 38 полная запись доказательств). Finds machine-text traces in Russian and explains them; rewrites only on explicit request; no authorship detection verdict. Не предназначен для текста не на русском, исходного кода, юридических документов и художественной прозы. Демо: vladimir-human.github.io/humanizer-ru
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
123 GitHub stars
Stars/forks activity
WARN51
123 stars, 9 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
10d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO62
command execution surface, external package install surface
Install availability
PASS92
npx skills add Vladimir-Human/humanizer-ru --skill humanizer-ru
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO76
shell or command execution
Repository evidence
PASS86
https://github.com/Vladimir-Human/humanizer-ru/tree/main/dsh/skills/humanizer-ru
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add Vladimir-Human/humanizer-ru --skill humanizer-ru
Repository
88
https://github.com/Vladimir-Human/humanizer-ru/tree/main/dsh/skills/humanizer-ru
License
86
MIT
Maintenance
100
10d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
86
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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Usable description available
Dependency risk
62
command execution surface, external package install surface
Install command safety
92
standard package or runtime install path
Permission surface
76
shell or command execution
Stars/forks activity
51
123 stars, 9 forks; issue activity unavailable in current metadata
Adoption
68
123 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
Shell or command execution
highSkill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
Network access
mediumSkill likely fetches remote pages, APIs, repositories, or external services.
Filesystem access
mediumSkill may read or write project files, documents, generated artifacts, or local workspace state.