Routing_and_Cost_Optimization

Routing_and_Cost_Optimization is an Exploratory analysis & notebooks skill for AI agents, published by zjunlp in the DataMind repository on GitHub. Skillspace rates Routing_and_Cost_Optimization D (58/100) and it passed the safety scan; the rating is based on static analysis only.

Solves payment routing and cost optimization problems in the dabstep dataset. Use when the question asks which card scheme a merchant should steer traffic to (for minimum or maximum fees), or which ACI (Authorization Characteristics Indicator) to incentivize for fraudulent transactions to achieve the lowest possible fees. Triggers on: "steer traffic", "card scheme", "minimum fees", "maximum fees", "ACI", "incentivize", "fraudulent transactions", "lowest possible fees", payment routing.

Grade
D
Quality
58 / 100
Safety
Passed
GitHub stars
118

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

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Our review

Architecture
81 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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