cheat-bump

cheat-bump is an LLM evaluation & observability skill for AI agents, published by XBuilderLAB in the cheat-on-content repository on GitHub. Skillspace rates cheat-bump D (64/100) and it passed the safety scan; the rating is based on static analysis only.

提议并执行 rubric 或 bucket 升级。两种模式：**完整 rubric bump**（最高风险动作，5 步强制 + 跨模型审核）和 **--bucket-only 轻量重校**（只换 bucket 边界，不动 rubric 公式）。**Phase 2 强制走 cheat-score-blind sub-agent 给校准池重打分**——不接受 self-scored fallback。触发词："升级 rubric"/"bump rubric"/"更新公式"/"我想加一个维度"/"调整权重"/"重校桶"/"recalibrate bucket"。

Grade
D
Quality
64 / 100
Safety
Passed
GitHub stars
5,630

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 GitHubXBuilderLAB/cheat-on-content

Our review

Architecture
88 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
MIT
Adoption
Adopted by 1 other repositories, in 0 collections
Scope
Repo-internal: written for the repository it lives in. Bumps this repo's own rubric files and cheat-* protocol

What the scanner flagged

  • over-broad allowed-tools ('*')

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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