credit-shopping-log-analysis

credit-shopping-log-analysis is a Root-cause investigation skill for AI agents, published by MaaEnd in the MaaEnd repository on GitHub. Skillspace rates credit-shopping-log-analysis D (63/100) and it passed the safety scan; the rating is based on static analysis only.

分析 MaaEnd `CreditShoppingMain` 的日志。用于还原信用购物任务中实际购买了什么商品、每件商品的折扣力度、是否触发过刷新（或刷新次数已用尽）、稳健刷新是否触发、以及信用点的消耗状况。货架槽位必须以日志中的 `CreditIcon`（TemplateMatcher）为锚，有无 `BuyFirstOCR`/`Priority2OCR` 不影响槽位级货架的还原与呈现。适用于用户询问信用点交易、信用购物买了什么、折扣情况、刷新配置、`CreditShoppingMain` 任务行为等场景。

Grade
D
Quality
63 / 100
Safety
Passed
GitHub stars
3,413

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.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubMaaEnd/MaaEnd

Our review

Architecture
90 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
AGPL-3.0
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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