Skill audit report
Оценивает входящие лиды из CRM по сигналам вовлечённости, соответствию ICP и маркерам срочности, формирует список «позвонить этим 5 сегодня» с тезисами, набрасывает follow-up и бронирует время в календаре. Используй, когда собственник просит приоритизировать лиды. Триггеры: "разбери лиды", "горячие лиды", "кому звонить первым", "что по воронке".
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
FAIL30
20 GitHub stars
Stars/forks activity
FAIL32
20 stars, 4 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
5d since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add ilyautov/small-business-ru --skill lead-triage
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
filesystem or document access
Repository evidence
PASS86
https://github.com/ilyautov/small-business-ru/tree/main/small-business-ru/skills/lead-triage
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add ilyautov/small-business-ru --skill lead-triage
Repository
88
https://github.com/ilyautov/small-business-ru/tree/main/small-business-ru/skills/lead-triage
License
86
Apache-2.0
Maintenance
100
5d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Install command safety
92
standard package or runtime install path
Permission surface
86
filesystem or document access
Stars/forks activity
32
20 stars, 4 forks; issue activity unavailable in current metadata
Adoption
42
20 GitHub stars
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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