Skip to content
SkillCheatSheet Sign in

cheat-on-content

An AI agent skill from XBuilderLAB/cheat-on-content, scored 50 out of 100 by code.

50/ 100D

Code score by group

  • Spec20/20
  • Description6/20
  • Procedure7/15
  • Done criteria0/15
  • Resources7/10
  • Scripts2/8
  • Safety3/7
  • Upkeep5/5

It loses the most points in Done criteria (15), the group that checks whether there is a checklist and a step that verifies the work.

What the author says it does

给所有想把"感觉"变成可校准预测的内容创作者。**方法论通用**——打分 → 盲预测 → T+3d 复盘 → 进化 rubric 的循环适用任何能被量化（播放 / 阅读 / 收听 / 点击）的内容。**rubric 是循环的内容，不是循环本身**——当前内置一份观点视频 rubric（参考博主 25+ 视频拟合），其他形态可借这套起步并 bump 调权重。**强烈建议导入对标账号**作为初始信号源（/cheat-learn-from）。触发词："初始化"/"打分这篇"/"启动预测"/"已发布"/"复盘"/"升级 rubric"/"推荐选题"/"抓热点"/"状态"/"找对标"/"learn from"。**首次使用必须先跑 /cheat-init。**

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

Repository
XBuilderLAB/cheat-on-content
Folder
(repository root)
License
MIT
GitHub stars
7,544
SKILL.md lines
226
Other files
105

Add cheat-on-content to your agent

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

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-score

    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。

    57C
  6. 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
  7. 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
  8. 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

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.