Skill audit report
token-budget-tracking Audit report.
Track, optimize, and control token consumption across multi-agent systems. Covers budget allocation, real-time monitoring, cost attribution, per-agent limits, and proactive cost optimization for production LLM deployments.
OpenAgentSkill Trust Score
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
471 GitHub stars
Stars/forks activity
INFO62
471 stars, 62 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
2mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO72
credential or environment access
Install availability
PASS92
npx skills add cosmicstack-labs/mercury-agent-skills --skill token-budget-tracking
Install command safety
INFO68
credential-bearing install command, standard package or runtime install path
Permission surface
INFO74
secrets or environment access
Repository evidence
PASS86
https://github.com/cosmicstack-labs/mercury-agent-skills/tree/main/categories/ai-ml/token-budget-tracking
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install and adoption review
Install path
92
npx skills add cosmicstack-labs/mercury-agent-skills --skill token-budget-tracking
Repository
88
https://github.com/cosmicstack-labs/mercury-agent-skills/tree/main/categories/ai-ml/token-budget-tracking
License
86
MIT
Maintenance
88
2mo since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
86
Usable description available
Dependency risk
72
credential or environment access
Install command safety
68
credential-bearing install command, standard package or runtime install path
Permission surface
74
secrets or environment access
Stars/forks activity
62
471 stars, 62 forks; issue activity unavailable in current metadata
Adoption
68
471 GitHub stars
Warnings
- Quality score needs review
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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