GitHub organization
Agent skills by XBuilderLAB
- skills
- 26
- repositories
- 3
Repositories by XBuilderLAB
- cheat-on-contentYou're reading this. The skill predicted it. A workflow that turns every post into a calibrated experiment—score, blind-predict, retro, evolve. The future doesn't reward effort, it rewards those who see the pattern first. 1M followers in a month — not luck, system.7.2k stars · 16 skills
- cheat-on-moneyAI 时代靠谱兼职发现 + 反诈验证 skill：需求信号反推 + 实时时效核查 + 反诈 rubric + 个性化校准环769 stars · 6 skills
- cheat-on-skill帮你在 AI 时代找到一份高薪 × 你学得动 × 不会被 AI 吃掉的工作，并给出个性化学习陪跑计划。能力匹配 + 可学性闸门 + BOSS 直聘真实招聘数据 + 反诈。194 stars · 4 skills
Skills by XBuilderLAB, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Proposes and applies upgrades to a content-scoring rubric: a full formula bump with blind re-scoring and a cross-model audit, or a lighter bucket-boundary recalibration. | XBuilderLAB/ | 7.2k | — | ~3.5k | Automated safety check: Notes | MIT | 2 days ago |
| 2 | Onboards a new user to the cheat-on-content workflow with a short question flow, creating the project scaffolding and optionally importing past video history. | XBuilderLAB/ | 7.2k | — | ~4.3k | Automated safety check: Notes | MIT | 2 days ago |
| 3 | Imports scripts and engagement numbers from an account you want to emulate, then extracts content patterns and starting scoring signals from them. | XBuilderLAB/ | 7.2k | — | ~2.3k | Automated safety check: Notes | MIT | 2 days ago |
| 4 | cheat-on-skill 的核心。连 BOSS 直聘真实招聘数据 + 网页信号，按用户能力画像找「高薪 × 你学得动 × AI 增强」交集里的候选岗位。每个岗位给：薪资量级 / 需求热度 / 你的差距 / 可学性分 / 诚实学习周期，并过 AI 影响分类与反诈红线。触发词："帮我找岗位"/"找AI时代高薪工作"/"有什么我能学的高薪岗"/"skill scan"/"扫一遍招聘"。前置：需要… | XBuilderLAB/ | 194 | 1 repo | ~1.2k | Automated safety check: Notes | MIT | 3 mo ago |
| 5 | Upgrades an older .cheat-state.json to the current schema version by applying migration files in order, with dry-run, backup and stop-on-failure behavior. | XBuilderLAB/ | 7.2k | — | ~1.5k | Automated safety check: Notes | MIT | 2 days ago |
| 6 | cheat-on-money skill 的首次 onboarding。建立用户画像（技能/可投入时间/启动资金/地区/能否露脸/语言）并创建 .money-state.json 状态文件，是所有其他 money- 子 skill 的前置。触发词："搞钱初始化"/"我想搞钱"/"找AI兼职"/"money init"/"搞钱 setup"。当用户想找搞钱机会但… | XBuilderLAB/ | 769 | — | ~580 | Automated safety check: Notes | No licence | 3 mo ago |
| 7 | cheat-on-skill 的陪跑进度 skill。用户问“今天该干嘛”“我现在做到哪了”“继续学”“打卡”“我卡住了”“下一步是什么”时触发。读取 .skill-state.json 的 active.progress 和 learningplan，给当天任务、检查完成情况、记录进度、根据快慢调整计划。前置：已有 .skill-state.json 且… | XBuilderLAB/ | 194 | 1 repo | ~969 | Automated safety check: Notes | MIT | 3 mo ago |
| 8 | Turns content creation into a calibrated loop of scoring, blind prediction, post-publish review and rubric evolution, with a built-in rubric for opinion videos. | XBuilderLAB/ | 7.2k | — | ~2.7k | Automated safety check: Notes | MIT | 2 days ago |
| 9 | cheat-on-money skill 的反诈核心。对某个具体的兼职/副业/项目做反诈 rubric 打分，实时上网查证负面与真实收款证据，输出 高危/存疑/可行 判定 + 验证第一步 + 诚实收入预期。触发词："XX靠谱吗"/"这个项目是不是骗局"/"帮我查下这个兼职"/"money verify"/"验证机会"/"这个能信吗"。 | XBuilderLAB/ | 769 | — | ~503 | Automated safety check: Notes | No licence | 3 mo ago |
| 10 | Builds or refreshes an account's audience profile from the comments in its post retrospectives and writes it to audience.md for later topic and script work. | XBuilderLAB/ | 7.2k | — | ~1.5k | Automated safety check: Notes | MIT | 2 days ago |
| 11 | 11.Money Status cheat-on-money skill 的状态看板。显示用户画像、候选机会及其反诈判定、当前在执行的机会与进度、复盘记录、建议的下一步。无副作用，任何时候可调。触发词："搞钱状态"/"我现在的进度"/"看板"/"money status"/"我现在该做什么"。 | XBuilderLAB/ | 769 | — | ~246 | Automated safety check: Notes | No licence | 3 mo ago |
| 12 | Writes an immutable blind prediction log for a finished content draft: a seven-dimension score, bucket, probability distribution and counterfactuals, scored blind by a sub-agent. | XBuilderLAB/ | 7.2k | — | ~4k | Automated safety check: Notes | MIT | 2 days ago |
| 13 | Records that a piece of content went live by writing its URL, platform and publish time into the prediction file header and state file, leaving the prediction text untouched. | XBuilderLAB/ | 7.2k | — | ~1.3k | Automated safety check: Notes | MIT | 2 days ago |
| 14 | 14.Skill Init cheat-on-skill 的首次 onboarding。盘点用户能力（现有技能/可迁移底子/学历经验/每周可学时间/能坚持几个月/学习能力自评/地区/目标薪资/转型紧迫度），判定起点档位，创建 .skill-state.json 状态文件，是 skill-scan / skill-plan 的前置。触发词："能力盘点"/"我想转AI相关工作"/"找AI时代高薪工作"/"skill… | XBuilderLAB/ | 194 | — | ~697 | Automated safety check: Notes | MIT | 3 mo ago |
| 15 | 15.Money Find 用「需求信号反推法」找 AI 时代兼职/副业机会——不搜"教你赚钱"的帖子（那是卖课钓粉的污染信源），而是看行业报告/招聘数据/采购数据等利益中立的需求信号，推理出个人能供给的机会，并用多个独立信号交叉验证，每个机会再过反诈+时效 rubric。触发词："帮我找机会"/"找AI兼职"/"有什么能搞钱的"/"money find"/"找副业"。前置：需要… | XBuilderLAB/ | 769 | — | ~814 | Automated safety check: Notes | No licence | 3 mo ago |
| 16 | Ranks a pool of content topic candidates by composite score and recommends the top picks, each with a score breakdown, anchor comparison and a one-line reason. | XBuilderLAB/ | 7.2k | — | ~1.6k | Automated safety check: Pass | MIT | 2 days ago |
| 17 | 17.Skill Plan cheat-on-skill 的核心。为用户选定的某个候选岗位生成个性化学习策略：差距分析 → 分阶段学习路径（资源+里程碑）→ 作品集清单 → 求职时间线 → 止损线。强调 AI 加速学习、诚实周期、可验证里程碑。触发词："我选XX做学习计划"/"这个岗位怎么学"/"给我学习路径"/"skill plan"/"制定转型策略"。前置：该岗位最好已在 skill-scan 的… | XBuilderLAB/ | 194 | — | ~992 | Automated safety check: Notes | MIT | 3 mo ago |
| 18 | Chinese-language retro step that gathers a post's results after a set window, compares them with the earlier prediction and records lessons in rubric-memo.md. | XBuilderLAB/ | 7.2k | — | ~3.1k | Automated safety check: Notes | MIT | 2 days ago |
| 19 | 19.Money Plan 为用户选定的某个「可行」机会生成可执行行动方案：小成本验证第一步、前两周具体动作、诚实收入预期、止损线。触发词："我想做XX帮我做计划"/"这个怎么开始"/"给我行动方案"/"money plan"/"我选这个"。前置：该机会最好已过 money-verify 判定为可行/存疑。 | XBuilderLAB/ | 769 | — | ~332 | Automated safety check: Notes | No licence | 3 mo ago |
| 20 | Scores a single draft against the project's rubric and prints the composite to the console only, with no files written and no prediction made. | XBuilderLAB/ | 7.2k | — | ~1.2k | Automated safety check: Pass | MIT | 2 days ago |
| 21 | 21.Money Retro 复盘某个正在执行的搞钱机会：记录实际投入时间/实际收入 vs 当初预期，沉淀经验（哪类机会对我有效、哪些坑亲历过），更新状态文件。触发词："复盘"/"这个搞得怎么样"/"实际赚了多少"/"money retro"/"总结一下"。 | XBuilderLAB/ | 769 | — | ~327 | Automated safety check: Notes | No licence | 3 mo ago |
| 22 | 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… | XBuilderLAB/ | 7.2k | — | ~2.1k | Automated safety check: Pass | MIT | 2 days ago |
| 23 | Develops one content topic at a time through conversation: you bring a theme or experience, the agent digs for angles and writes a draft, with an optional batch brainstorm mode. | XBuilderLAB/ | 7.2k | — | ~3.5k | Automated safety check: Notes | MIT | 2 days ago |
| 24 | 24.Cheat Shoot 登记一条视频已拍摄。建 video folder + 询问实际拍摄稿是否与 scripts/<id.md 一致 + buffer +1。与 cheat-publish 配对：拍了进队列，发了出队列。触发词："拍了"/"拍了 X"/"shot"/"shot it"/"已拍 X"/"录完了"。 | XBuilderLAB/ | 7.2k | — | ~1.9k | Automated safety check: Notes | MIT | 2 days ago |
| 25 | 25.Cheat Status cheat-on-content 的状态看板。显示当前模式 / rubric 版本 / 校准进度 / 待复盘 / pool 状态 / 是否该升级 SQLite / 是否该 bump rubric。任何时候都可调，无副作用。触发词："状态"/"看板"/"status"/"我现在该做什么"/"进度怎么样"。 | XBuilderLAB/ | 7.2k | — | ~1.5k | Automated safety check: Notes | MIT | 2 days ago |
| 26 | 26.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"/"trending now"/"找选题"。 | XBuilderLAB/ | 7.2k | — | ~1.4k | Automated safety check: Notes | MIT | 2 days ago |
Questions, answered from the data.
What is the best skill by XBuilderLAB?
Rubric Bump Proposer from XBuilderLAB/cheat-on-content ranks first of the 26 skills by XBuilderLAB listed here, with the highest score: its repository has 7.2k GitHub stars, its SKILL.md loads about 3.5k tokens and it has informational notes only in the automated safety check. Next come Cheat-on-Content Setup and Benchmark Account Importer.
Are XBuilderLAB's skills official?
None yet. All 26 skills by XBuilderLAB listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.