Skill audit report
Scan all connected marketing platforms for statistically significant deviations from stored baselines — traffic drops, CPA spikes, deliverability collapse, budget overruns, or unexpected wins — classified critical/warning/info with probable causes, correlation to recent changes, and recommended actions. Triggers on \"/digital-marketing-pro:anomaly-scan\", \"why did our CPA spike\", \"did anything weird happen this week\", \"check for anomalies\", \"our conversions suddenly dropped\". Runs performance-monitor.py for baselines and detection, correlates flags against execution-tracker.py history and the diagnostic framework in skills/analytics-insights/anomaly-diagnosis.md, and persists critical findings as insights via campaign-tracker.py. Reads the brand profile.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO76
787 GitHub stars
Stars/forks activity
INFO71
787 stars, 132 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
22d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
PASS82
database surface
Install availability
PASS92
npx skills add indranilbanerjee/digital-marketing-pro --skill anomaly-scan
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS88
database access
Repository evidence
PASS86
https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/anomaly-scan
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add indranilbanerjee/digital-marketing-pro --skill anomaly-scan
Repository
88
https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/anomaly-scan
License
86
MIT
Maintenance
100
22d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
84
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
82
database surface
Install command safety
92
standard package or runtime install path
Permission surface
88
database access
Stars/forks activity
71
787 stars, 132 forks; issue activity unavailable in current metadata
Adoption
88
787 GitHub stars
Financial decision safety
20
Potential execution surface detected; do not connect live broker, exchange, wallet, or payment credentials.
Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
Network access
mediumSkill likely fetches remote pages, APIs, repositories, or external services.
Database access
mediumSkill may inspect schemas, query databases, or work with persistent stores.