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cheat-score

An AI agent skill from XBuilderLAB/cheat-on-content, scored 57 out of 100 by code.

57/ 100C

Code score by group

  • Spec20/20
  • Description5/20
  • Procedure7/15
  • Done criteria0/15
  • Resources10/10
  • Scripts5/8
  • Safety7/7
  • Upkeep3/5

It loses the most points in Description (15), the group that checks whether the description says what the skill does and when to use it.

What the author says it does

给单篇稿子打 rubric 分。**只在控制台输出，不写文件，不预测**。触发词："打分这篇 [path]"/"score this [path]"/"给这稿子打分"/"先打分看看"。是 cheat-predict 之前的轻量探索动作。

This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.

Repository
XBuilderLAB/cheat-on-content
Folder
skills/cheat-score
License
MIT
GitHub stars
7,544
SKILL.md lines
160
Other files
0

Add cheat-score to your agent

npx skills add XBuilderLAB/cheat-on-content --skill cheat-score

The command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.

More skills from XBuilderLAB/cheat-on-content

  1. cheat-score-blind

    INTERNAL sub-agent for blind 7-dim rubric scoring. **NOT a user-facing skill — do NOT invoke from main conversation.** Called via Task tool by cheat-score / cheat-predict / cheat-…

    59C
  2. cheat-trends

    从配置的热点源（HN / Reddit / YouTube trending / B 站热门 / 等）抓今天的热门话题，去重 + 粗打分 + 写入 candidates.md。**绝大部分人没有候选池——这是让"我没素材"问题在 onboarding 第二步就消失的钥匙**。触发词："抓热点"/"fetch trends"/"今天有什么可做的"/"tren…

    59C
  3. cheat-migrate

    把老用户的 .cheat-state.json 升级到当前 schema_version。读 migrations/registry.md 算迁移链，按顺序应用每一步迁移文件。幂等：跑两次结果一样。失败停在中间版本不前进。触发词："迁移"/"升级 state"/"migrate"/"我的 state 是老版本"/"schema 版本不对"。

    58C
  4. cheat-predict

    给最终稿写一份 immutable 盲预测日志。这是 cheat-on-content 整个校准循环的核心动作——预测段一旦写完不可改，由 hook 强制。**自动检测**：如目标文件已有 `## 预测` / `## 预测 v1` 段（被 cheat-shoot 调用走 v2 模式），改成 append `## 预测 v2` 而非覆盖。**打分通过 Tas…

    57C
  5. cheat-seed

    跟用户对话讨论选题——**默认一次一个**，用户主动给主题或经历，AI 围绕用户的输入深挖、提炼角度、写一份 draft。不是 AI 拿三个开放问题追用户，也不是一次给 5 个候选。触发词："找选题"/"我想做一条 X"/"最近有个想法"/"seed"/"启动种子"。可选 batch 模式：`/cheat-seed --batch 5` 走旧的 brain…

    57C
  6. cheat-persona

    从复盘评论数据派生 / 刷新账号的受众画像，写入 audience.md。这是和 rubric 平行的第二个派生物——rubric 答"怎么打分"，persona 答"谁在看"。cheat-seed 选题 / 写稿时读它。**audience.md 含实绩信号，cheat-score-blind 硬禁读**。触发词："构造受众画像"/"更新 persona…

    56C
  7. cheat-learn-from

    从对标账号导入 script + 数据 → 拆 pattern + 派生 base rubric 信号 → 写到 benchmark.md / script_patterns.md / rubric_notes.md。**这是工具最早期信号的来源**——cold-start 用户没自己历史时全靠对标，发过历史的用户也建议至少 1 个对标做 sanity c…

    55C
  8. cheat-bump

    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…

    54D

All skills in XBuilderLAB/cheat-on-content

Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.