Cheat on Content is a workflow for content creators that records predictions and results for each post, reviews performance later, and updates the criteria used for future decisions. It is intended to make content planning and publishing an experiment that becomes more informed over time. The catalogue contains the skills that implement this workflow.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/xbuilderlab/cheat-on-content/cheat-publishnpx skills add XBuilderLAB/cheat-on-content --skill cheat-publishgit clone --depth 1 https://github.com/XBuilderLAB/cheat-on-contentWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/xbuilderlab/cheat-on-content/cheat-publish)<a href="https://agentmods.dev/skills/xbuilderlab/cheat-on-content/cheat-publish"><img src="https://agentmods.dev/badge/skills/xbuilderlab/cheat-on-content/cheat-publish.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00000 | $0.02199 |
| Opus 5 | $0.00000 | $0.01099 |
| Sonnet 5 | $0.00000 | $0.00440 |
| Haiku 4.5 | $0.00000 | $0.00220 |
Grade A, and why
cheat-publish scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- cheat-publish — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/cheat-publish — 发布登记
把作品的发布元数据（URL、发布时间、平台）补到预测文件 header 与 state file。禁止改预测段——hook 会拦。
Overview
[用户：已发布 https://...]
↓
[Phase 0: 找到对应的预测文件] ← 通过 in_progress_session 或匹配
↓
[Phase 1: 解析 URL → 平台/发布时间]
↓
[Phase 2: 更新 prediction 文件 header（仅 metadata 段）]
↓
[Phase 3: 更新 .cheat-state.json，清除 in_progress_session]
Constants
- AUTO_DETECT_PLATFORM = true — 从 URL 模式自动识别平台
- VERIFY_BLIND = true — 提醒用户：从此刻起看到任何后续数据都会破坏盲度声明的诚信
Inputs
| 必填 | 来源 |
|---|---|
<prediction-file> 或 URL |
用户参数；缺失则用 .cheat-state.json 的 in_progress_session.file |
.cheat-state.json |
用户项目根 |
Workflow
Phase 0: 找到对应的预测文件
按优先级：
- 用户参数明确给了 prediction 文件路径 → 用它
- 用户参数只给了 URL → 读
.cheat-state.json的in_progress_session.file - 都没有 → 列出
predictions/*.md中 header 没填published_at的文件，让用户选
警告路径：若 in_progress_session.file 与用户给的 URL 时间差超过 14 天 → 提示"这个预测写于很久之前，确认是这篇？"
Phase 1: 解析平台
AUTO_DETECT_PLATFORM=true 时按 URL 模式：
| URL 模式 | 平台 |
|---|---|
youtube.com/* youtu.be/* |
youtube |
bilibili.com/* b23.tv/* |
bilibili |
douyin.com/* iesdouyin.com/* v.douyin.com/* |
douyin |
xiaohongshu.com/* xhslink.com/* |
xhs |
mp.weixin.qq.com/* |
|
substack.com/* *.substack.com/* |
substack |
medium.com/* *.medium.com/* |
medium |
twitter.com/* x.com/* |
|
| 其他 | unknown — 询问用户 |
发布时间获取：
- 不强求自动抓——绝大多数平台需要登录态
- 询问用户："发布时间是？（默认：现在）" → 接受 ISO 8601 或自然语言（"今天 14:30" / "20 分钟前"）
- 解析失败 → 用 now()
Phase 2: 更新 prediction 文件 header
绝不触碰 ## 预测 段及之后。只动文件最顶部的 metadata 块。
读文件，定位到 metadata 块（在第一个 ## 之前的所有行）。检查是否已有这些字段——有则警告"已登记过"并询问是否覆盖；无则追加：
**Published at**: 2026-05-04T14:32:00+08:00
**Platform**: douyin
**URL**: https://v.douyin.com/abc123
**Video Folder**: videos/2026-05-04_a3f2c1d4_停止期待/
**Aweme ID**: 7234567890123456789 (douyin / 视频号 等需要的 platform-specific ID)
关于 platform-specific ID：
- 抖音：从 URL 短链 resolve 后提取
aweme_id（v.douyin.com → 重定向后含 modal_id 或 item_id 参数） - B 站：BV 号
- 小红书：note_id
- YouTube：v= 参数后的 video_id
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 171 lines · 0 tokens per session scan A ba810234e03f
cheat-publish is a skill published in the GitHub repository XBuilderLAB/cheat-on-content (6,756 stars, last pushed 5d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,199 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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