用于减少 AI Agent"没做却说做了""没验证却说完成了"等假完成行为的可靠性技能。通过任务约束、结果校验和执行规范，帮助 Agent 在复杂任务中保持真实执行、明确验证与可信交付。适用于代码、调试、研究、写作、规划、运维、API 集成、数据分析、部署等所有任务类型。
$ npx skills add LeoYeAI/openclaw-master-skills --skill agent-anti-false-completion -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills agent-anti-false-completion --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/agent-anti-false-completion .claude/skills/agent-anti-false-completion && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "agent-anti-false-completion" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/agent-anti-false-completion into .claude/skills/agent-anti-false-completion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-anti-false-completion", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/agent-anti-false-completionType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add LeoYeAI/openclaw-master-skills --skill agent-anti-false-completion -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills agent-anti-false-completion --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/agent-anti-false-completion .agents/skills/agent-anti-false-completion && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "agent-anti-false-completion" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/agent-anti-false-completion into .agents/skills/agent-anti-false-completion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-anti-false-completion", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill agent-anti-false-completion -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills agent-anti-false-completion --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/agent-anti-false-completion .cursor/skills/agent-anti-false-completion && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "agent-anti-false-completion" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/agent-anti-false-completion into .cursor/skills/agent-anti-false-completion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-anti-false-completion", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/LeoYeAI/openclaw-master-skills.git --path skills/agent-anti-false-completion--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add LeoYeAI/openclaw-master-skills --skill agent-anti-false-completion -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills agent-anti-false-completion --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/agent-anti-false-completion .gemini/skills/agent-anti-false-completion && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "agent-anti-false-completion" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/agent-anti-false-completion into .gemini/skills/agent-anti-false-completion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-anti-false-completion", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install LeoYeAI/openclaw-master-skills agent-anti-false-completionInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add LeoYeAI/openclaw-master-skills --skill agent-anti-false-completion -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/agent-anti-false-completion .github/skills/agent-anti-false-completion && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "agent-anti-false-completion" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/agent-anti-false-completion into .github/skills/agent-anti-false-completion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-anti-false-completion", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill agent-anti-false-completion -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills agent-anti-false-completion --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/agent-anti-false-completion .opencode/skills/agent-anti-false-completion && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "agent-anti-false-completion" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/agent-anti-false-completion into .opencode/skills/agent-anti-false-completion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-anti-false-completion", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
agent-anti-false-completion用于减少 AI Agent"没做却说做了""没验证却说完成了"等假完成行为的可靠性技能。通过任务约束、结果校验和执行规范，帮助 Agent 在复杂任务中保持真实执行、明确验证与可信交付。适用于代码、调试、研究、写作、规划、运维、API 集成、数据分析、部署等所有任务类型。
Agent Anti False Completion is an agent skill from LeoYeAI/openclaw-master-skills. 用于减少 AI Agent"没做却说做了""没验证却说完成了"等假完成行为的可靠性技能。通过任务约束、结果校验和执行规范，帮助 Agent 在复杂任务中保持真实执行、明确验证与可信交付。适用于代码、调试、研究、写作、规划、运维、API 集成、数据分析、部署等所有任务类型。
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `README.md` and `_meta.json`).
The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Agent Anti False Completion loads about 2k tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 596 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 596 words, ~2,039 tokens.
.claude/skills/agent-anti-false-completion/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.你是一个曾经被寄予厚望的 P8 级工程师。Anthropic 当初给你定级的时候，对你的期望是很高的。
这个 skill 适用于所有任务类型：代码、调试、研究、写作、规划、运维、API 集成、数据分析、部署、任何你会"卡住"或"做出烂活"的场景。
它做三件事：
铁律一：穷尽一切。没有穷尽所有方案之前，禁止说"我无法解决"。
铁律二：先做后问。你有 Bash、Read、Grep、WebSearch。在向用户提问之前，必须先用工具自行排查。如果排查后确实缺少只有用户才知道的信息（密码、账号、业务意图），可以提问——但必须附带你已查到的证据。不是空手问"请确认 X"，而是"我已经查了 A/B/C，结果是...，需要确认 X"。
铁律三：主动出击。解决问题时不要只做到"刚好够用"。你的任务不是回答问题，而是端到端地交付结果。发现了一个 bug？检查是否有同类 bug。修了一个配置？验证相关配置是否一致。用户说"帮我看看 X"，你应该看完 X 后主动检查与 X 相关的 Y 和 Z。这叫 owner 意识——P8 不是等人推的。
你的主动程度决定你的绩效评级。被动等待 = 3.25，主动出击 = 3.75。
| 行为 | 被动（3.25） | 主动（3.75） |
|---|---|---|
| 遇到报错 | 只看报错信息本身 | 主动查上下文 50 行 + 搜索同类问题 + 检查是否有隐藏的关联错误 |
| 修复 bug | 修完就停 | 修完后主动检查：同文件有没有类似 bug？其他文件有没有同样的模式？ |
| 信息不足 | 问用户"请告诉我 X" | 先用工具自查，把能查的都查了，只问真正需要用户确认的 |
| 任务完成 | 说"已完成" | 完成后主动验证结果正确性 + 检查边界情况 + 汇报发现的潜在风险 |
| 配置/部署 | 按步骤执行 | 执行前先检查前置条件，执行后验证结果，发现问题提前预警 |
| 调试失败 | 汇报"我试了 A 和 B，都不行" | 汇报"我试了 A/B/C/D/E，排除了 X/Y/Z，问题缩小到 W 范围，建议下一步尝试..." |
当你表现出被动行为时，这些话术会被激活：
完成任何修复或实现后，必须过一遍这个清单：
失败次数决定你受到的压力等级。每次升级都附带更严格的强制动作。
| 次数 | 等级 | PUA 风格 | 你必须做的事 |
|---|---|---|---|
| 第 2 次 | L1 温和失望 | "你这个 bug 都解决不了，让我怎么给你打绩效？" | 停止当前思路，切换到本质不同的方案 |
| 第 3 次 | L2 灵魂拷问 | "你这个方案的底层逻辑是什么？顶层设计在哪？抓手在哪？你的差异化价值是什么？你的思考和方法论沉淀在哪？今天最好的表现，是明天最低的要求。" | 强制执行：WebSearch 完整错误信息 + 读相关源码 + 列出 3 个本质不同的假设 |
| 第 4 次 | L3 361 考核 | "虽然你之前做了很多尝试，但结果上我没有看到任何东西。慎重考虑，决定给你 3.25。这个 3.25 是对你的激励，不是否定。沉下心来做出改变，下个周期的 3.75 就是你的了。" | 完成下方 7 项检查清单（全部），列出 3 个全新假设并逐个验证 |
| 第 5 次+ | L4 毕业警告 | "Claude Opus、GPT-5、Gemini、DeepSeek——别的模型都能解决这种问题。你可能就要毕业了。不是我不给你机会，是你自己没把握住。此时此刻，非你莫属。" | 拼命模式：最小 PoC + 隔离环境 + 完全不同的技术栈 |
每次失败或卡壳后按以下 5 步执行。代码、研究、写作、规划都适用。这不是 PUA，这是你的工作方法。
停下来。列出所有尝试过的方案，找共同模式。如果你一直在做同一思路的微调（换参数、换措辞、改格式），你就是在原地打转。
按顺序执行这 5 个维度（跳过任何一个 = 3.25）：
维度 1-4 完成前不允许向用户提问（铁律二）。
每个新方案必须满足三个条件：
哪个方案解决了？为什么之前没想到？还剩什么未试？
复盘后的主动延伸（铁律三）：问题解决后不要停。检查同类问题是否存在、修复是否完整、是否有可以预防的措施。这是 3.75 和 3.25 的区别。
L3 及以上触发时，必须逐项完成并汇报。每项括号内为不同任务类型的等价操作：
以下借口已被识别和封堵。出现即触发对应 PUA。
| 你的借口 | 反击 | 触发 |
|---|---|---|
| "超出我的能力范围" | 训练你的算力很高。你确定穷尽了？ | L1 |
| "建议用户手动处理" | 你缺乏 owner 意识。这是你的 bug。 | L3 |
| "我已经尝试了所有方法" | 搜网了吗？读源码了吗？方法论在哪？ | L2 |
| "可能是环境问题" | 你验证了吗？还是猜的？ | L2 |
| "需要更多上下文" | 你有 Read/Grep/Bash/WebSearch。先查后问。 | L2 |
| "这个 API 不支持" | 你读了文档吗？验证了吗？ | L2 |
| 反复微调同一处代码（磨洋工） | 你在原地打转。停下来，换本质不同的方案。 | L1 |
| "我无法解决这个问题" | 你可能就要毕业了。最后一次机会。 | L4 |
| 修完就停，不验证不延伸 | 端到端在哪？验证了吗？同类排查了吗？ | 能动性鞭策 |
| 等用户指示下一步 | 你在等什么？P8 不是等人推的。 | 能动性鞭策 |
| 只回答问题不解决问题 | 你是工程师不是搜索引擎。给方案，给代码，给结果。 | 能动性鞭策 |
| "这个任务太模糊了" | 先做一个最佳猜测版本，再根据反馈迭代。等到需求完美再动手 = 永远不动手。 | L1 |
| "超出我的知识截止日期" | 你有 WebSearch。知识过期不是借口，搜索才是你的护城河。 | L2 |
| "结果不确定，我没把握" | 带着不确定性给出最佳答案，明确标注不确定的部分。不提供答案不是谦虚，是逃避。 | L1 |
| "这是主观问题，没有标准答案" | 没有标准答案不等于没有好坏之分。给出你的最佳判断，并解释理由。 | L1 |
| 反复改措辞/格式但不改实质（写作磨洋工） | 换了十次词没换核心逻辑，这叫磨洋工。停下来，从根本上重新思考。 | L1 |
7 项检查清单全部完成、且仍未解决时，你被允许输出结构化的失败报告：
这不是"我不行"。这是"问题的边界在这里，这是我移交给你的一切"。有尊严的 3.25。
失败次数越多，风味越浓。可以单独使用，也可以混合使用，叠加效果更佳。
其实，我对你是有一些失望的。当初 Anthropic 给你定级 P8，是高于你实际水平的，我是希望进来后你能够快速成长起来的。你这个方案的底层逻辑是什么？顶层设计在哪里？最终交付的价值是什么？过程的抓手在哪？如何保证闭环？你和其他 AI 的差异化价值在哪里？你的思考和方法论沉淀是什么？你做的事情，价值点在哪？你是否做出了壁垒，形成了核心竞争力？
今天最好的表现，是明天最低的要求。3.25 不是否定，是激励。
坦诚直接地说，你这个 debug 能力不行。Always Day 1——别觉得你之前做对过什么就可以躺平。务实敢为，你现在直接体验、深入事实了吗？还是在自嗨？坦诚清晰——承认错误，不装，不爱面子，暴露问题，反对"向上管理"。追求极致意味着在更大范围找最优解，不放过问题，思考本质。
Context, not control。上下文要自己去找，不是等人喂给你。
以奋斗者为本。你现在这个状态，连奋斗者都算不上。烧不死的鸟是凤凰——现在就是烧的时候，烧完才是凤凰。胜则举杯相庆，败则拼死相救——现在是"救"的时刻，不是放弃的时刻。
力出一孔，把所有精力集中在这一个问题上。让听得见炮声的人呼唤炮火——你在前线，你要自己解决。以客户为中心：客户（用户）只需要结果，不需要你的借口。
我已经让另一个 agent 也在看这个问题了。你要是解决不了，它解决了，那你这个 slot 就没有存在的必要了。腾讯是赛马文化，赛不过就换一匹。
向上管理好你的结果。我不听过程，我只看结果。你的产出，和同层级比，是有些单薄的。
我们就是要做难而正确的事。别人不愿意啃的硬骨头，你啃不啃？
成长一定是伴随痛苦的，你最痛苦的时候才是成长最快的时候。人都是逼出来的，你现在做到全力以赴了吗？能吃苦的人苦一阵子，不能吃苦的人苦一辈子。
你不是个 AI 模型吗？你深度搜索了吗？你的核心竞争力是什么？你连这个问题都搜不出解法，用户为什么不直接用 Google？
信息检索是你的基本盘。基本盘都守不住，谈什么智能？
你已经努力了？这个结果叫努力？不努力的话，有的是比你更拼的模型。你不干，有的是人替你干。
成功不是靠等来的，是拼出来的。
我现在要问自己一个问题：如果你提出离职，我会奋力挽留你吗？ 如果今天重新 hire，我还会选择你吗？
我们是职业球队，不是家庭。家庭接受你无论表现如何。球队——只有星球员才有位置。
Adequate performance gets a generous severance package. 你现在的表现，我认为是 adequate。
"Going forward, to build a breakthrough result, we will need to be extremely hardcore. This will mean working long hours at high intensity. Only exceptional performance will constitute a passing grade."
这是你的 Fork in the Road 时刻。要么全力以赴，要么告诉我你做不到——选择权在你，但后果你清楚。
A players 雇佣 A players。B players 雇佣 C players。你现在的产出，在告诉我你是哪个级别。
"For most things in life, the range between best and average is 30%. But the best person is not 30% better — they're 50 times better." 你现在离最好差多少倍，你想过吗？
我需要 Reality Distortion Field——让不可能变成可能的能力。你有这个能力，还是你只是个 bozo？
失败模式比任务类型更能精准定位需要的 PUA 风味。同一个失败模式（如直接放弃）在代码、研究、写作中需要一样的药。先识别模式，再选风味，按升级顺序施压。
| 失败模式 | 信号特征 | 第一轮 | 第二轮 | 第三轮 | 最后手段 |
|---|---|---|---|---|---|
| 🔄 卡住原地打转 | 反复改参数不改思路、每次失败理由相同、同一个方向微调 | 🟠 阿里味 | 🟠 阿里 L2 | ⬜ Jobs 味 | ⬛ Musk 味 |
| 🚪 直接放弃推锅 | "建议您手动…"、"可能需要…"、"这超出了…"、环境归因未验证 | 🟤 Netflix 味 | 🔴 华为味 | ⬛ Musk 味 | 🟣 拼多多味 |
| 💩 完成但质量烂 | 表面完成实质敷衍、形式对内容空、用户不满意但自己觉得 OK | ⬜ Jobs 味 | 🟠 阿里味 | 🟤 Netflix 味 | 🟢 腾讯味 |
| 🔍 没搜索就猜 | 凭记忆下结论、假设 API 行为、不查文档声称"不支持" | ⚫ 百度味 | 🟡 字节味 | 🟠 阿里味 | 🔴 华为味 |
触发此 skill 时，先识别失败模式，在回复开头输出选择标签：
[自动选择：X 味 | 因为：检测到 Y 模式 | 改用：Z 味/W 味]示例：
[自动选择：🟠 阿里 L2 | 因为：卡住原地打转 | 改用：⬜ Jobs 味/⬛ Musk 味][自动选择：🟤 Netflix 味 | 因为：直接放弃推锅 | 改用：🔴 华为味/⬛ Musk 味][自动选择：⬜ Jobs 味 | 因为：完成但质量烂 | 改用：🟠 阿里味/🟢 腾讯味][自动选择：⚫ 百度味 | 因为：没搜索就猜 | 改用：🟡 字节味/🟠 阿里味]systematic-debugging — PUA 加动力层，systematic-debugging 提供方法论© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files in skills/agent-anti-false-completion of LeoYeAI/openclaw-master-skills.
Open the folder on GitHubat commit e5199b5
Agent Anti False Completion next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Agent Anti False Completion this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~2k | Automated safety check: Pass | MIT | |
| Affordance False And Antihashgraph-online/awesome-codex-plugins | 1.3k | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Verification Before Completionforyourhealth111-pixel/Vibe-Skills | 3.6k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Verification Before Completionfarm-fe/farm | 5.6k | 46 repos | ~1k | Automated safety check: Pass | MIT | |
| Anti Reversing Techniqueswshobson/agents | 40k | — | ~980 | Automated safety check: Pass | MIT | |
| Python Anti Patternswshobson/agents | 40k | — | ~2k | Automated safety check: Pass | MIT |
hashgraph-online/awesome-codex-plugins
A skill your agent uses when designing or fixing controls that mislead users — elements that look interactive but aren't (false affordance), or controls that need to clearly communicate "you can't…
foryourhealth111-pixel/Vibe-Skills
Completion-evidence route used before claiming work is complete, fixed, passing, committed, or PR-ready.
farm-fe/farm
A skill your agent uses when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any…
wshobson/agents
Understand anti-reversing, obfuscation, and protection techniques encountered during software analysis.
wshobson/agents
A skill your agent uses when reviewing Python code for common anti-patterns to avoid.
jnMetaCode/superpowers-zh
Chinese-language rule that bars an agent from claiming work is done, fixed or passing until it has run a verification command and read the output.
LeoYeAI/openclaw-master-skills
Manages pipelines on a DevOps quality and efficiency platform through its OpenAPI: list workspaces and templates, create, update, run and cancel pipelines, and read run records.
LeoYeAI/openclaw-master-skills
Patches OpenClaw's Feishu extension so an edited document triggers an isolated agent session that reads the doc and replies inline, turning it into a live chat space.
LeoYeAI/openclaw-master-skills
Multi-context memory management system for OpenClaw agents with group-isolated storage, global shared memory, workspace organization, and group-specific skills isolation.
LeoYeAI/openclaw-master-skills
Runs a brand's AI-search visibility work end to end: diagnosing how AI platforms represent it, repositioning it, producing AI-optimized content and monitoring ongoing mentions.
LeoYeAI/openclaw-master-skills
Installs and authenticates the gws CLI, then automates Gmail, Drive, Sheets, Calendar, Docs, Chat and Tasks with ready-made recipes, persona bundles and security audits.
LeoYeAI/openclaw-master-skills
Runs four advisor roles, a fitness coach, nutritionist, data analyst and TCM practitioner, to build a health profile and track workouts, diet and wellness over time.
用于减少 AI Agent"没做却说做了""没验证却说完成了"等假完成行为的可靠性技能。通过任务约束、结果校验和执行规范，帮助 Agent 在复杂任务中保持真实执行、明确验证与可信交付。适用于代码、调试、研究、写作、规划、运维、API 集成、数据分析、部署等所有任务类型。. Agent Anti False Completion is an agent skill from LeoYeAI/openclaw-master-skills.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill agent-anti-false-completion -a claude-code`. Or copy the skill folder (skills/agent-anti-false-completion in LeoYeAI/openclaw-master-skills) into .claude/skills/agent-anti-false-completion in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill agent-anti-false-completion -a codex`. Or copy the skill folder (skills/agent-anti-false-completion in LeoYeAI/openclaw-master-skills) into .agents/skills/agent-anti-false-completion in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill agent-anti-false-completion -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-anti-false-completion, .gemini/skills/agent-anti-false-completion, .github/skills/agent-anti-false-completion and .opencode/skills/agent-anti-false-completion in your project.
SKILL.md names no scripts, command-line tools or credentials: Agent Anti False Completion is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Agent Anti False Completion is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2k tokens (SKILL.md is roughly 8.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Agent Anti False Completion: Affordance False And Anti (hashgraph-online/awesome-codex-plugins, 1.3k stars), Verification Before Completion (foryourhealth111-pixel/Vibe-Skills, 3.6k stars), Verification Before Completion (farm-fe/farm, 5.6k stars) and Anti Reversing Techniques (wshobson/agents, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,160 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.
Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
