Skill audit report
Track advertising spend pacing in real time across connected ad platforms (Google Ads, Meta, LinkedIn, TikTok) — produces a budget dashboard with daily burn rates, end-of-period projections, overspend/underspend alerts, and dollar-specific reallocation recommendations backed by CPA/ROAS context. Monitors and recommends only; it never edits platform budgets. Triggers on \"/digital-marketing-pro:budget-tracker\", \"are we overspending this month\", \"how is our ad budget pacing\", \"track spend across platforms\", \"will we blow through the budget cap\". Reads budget targets from the brand profile, runs scripts/ad-budget-pacer.py, and saves snapshots for trend history; pairs with /digital-marketing-pro:budget-optimizer.
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
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add indranilbanerjee/digital-marketing-pro --skill budget-tracker
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS100
no high-risk permission surface in public metadata
Repository evidence
PASS86
https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/budget-tracker
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 budget-tracker
Repository
88
https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/budget-tracker
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
90
no major dependency risk hints in public metadata
Install command safety
92
standard package or runtime install path
Permission surface
100
no high-risk permission surface in public metadata
Stars/forks activity
71
787 stars, 132 forks; issue activity unavailable in current metadata
Adoption
88
787 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
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
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.