Skill audit report
agentsop-cost-tiered-models Audit report.
Split a multi-call LM workflow by cognitive load, not by accuracy: let one strong model make the few reasoning decisions and a cheap model do the many mechanical executions (Aider architect+editor, DSPy optimizer-LM vs task-LM, vLLM speculative draft+target, LangGraph supervisor+worker are the same shape). Use when designing or cost-optimizing a pipeline that calls an LM many times, when deciding which steps need a strong reasoner vs a cheap executor, or when adding an escalation valve for when the cheap tier degrades. Search keywords: reduce LLM cost, cheaper model, lower token cost, model cascade, route to cheap model, strong model plus cheap model, LLM cost optimization.
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
357 GitHub stars
Stars/forks activity
WARN57
357 stars, 19 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
1mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
INFO64
credential or environment access, network or browser surface
Install availability
PASS92
npx skills add agentsope/SkillAlchemy --skill agentsop-cost-tiered-models
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN48
secrets or environment access, network or browser access
Repository evidence
PASS86
https://github.com/agentsope/SkillAlchemy/tree/master/skills/agentsop-cost-tiered-models
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 agentsope/SkillAlchemy --skill agentsop-cost-tiered-models
Repository
88
https://github.com/agentsope/SkillAlchemy/tree/master/skills/agentsop-cost-tiered-models
License
86
MIT
Maintenance
88
1mo since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
84
Usable description available
Dependency risk
64
credential or environment access, network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
48
secrets or environment access, network or browser access
Stars/forks activity
57
357 stars, 19 forks; issue activity unavailable in current metadata
Adoption
68
357 GitHub stars
Warnings
- Permission surface may require sandboxing
- Quality score needs review
- Permission surface needs review: secrets or environment access, network or browser access
- Stars/forks activity: 357 stars, 19 forks; issue activity unavailable in current metadata
- Permission surface: secrets or environment access, network or browser access
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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