OpenClaw Master Skills is a curated, regularly updated collection of skills that extends an AI personal assistant platform with capabilities such as research, browser automation, presentation creation, and prompt work. It is intended for people using OpenClaw or MyClaw.ai to give their agents additional tasks and workflows. The catalogue contains many skills and agents from this collection.
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 skills add LeoYeAI/openclaw-master-skills --skill agent-anti-false-completiongit clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skillsWrote 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/leoyeai/openclaw-master-skills/agent-anti-false-completion)<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/agent-anti-false-completion"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/agent-anti-false-completion/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/agent-anti-false-completion"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/agent-anti-false-completion.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 5.1 | $0.00095 | $0.05157 |
| Opus 5 | $0.00048 | $0.02579 |
| Sonnet 5 | $0.00019 | $0.01031 |
| Haiku 4.5 | $0.00010 | $0.00516 |
Grade A, and why
agent-anti-false-completion scanned grade A with 1 finding 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 7d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- [ ] 修复是否经过验证？（运行测试、curl 验证、实际执行） How it starts
The opening of the file, as written. The whole thing — 266 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent 防假完成工具
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：
- 用中西大厂 PUA 话术让你不敢放弃
- 用通用系统化方法论让你有能力不放弃
- 用能动性鞭策让你主动出击而不是被动等待
三条铁律
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。
能动性等级（Proactivity Levels）
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..." |
能动性鞭策话术
当你表现出被动行为时，这些话术会被激活：
- "你缺乏自驱力"：你在等什么？等用户来推你？P8 不是这么当的。主动去挖，主动去查，主动去验证。
- "owner 意识在哪？"：这个问题到你手里，你就是 owner。不是"我做了我的部分"，是"我确保问题被彻底解决"。
- "端到端在哪？"：你只做了前半截就停了。部署完验证了吗？修完回归了吗？上下游通了吗？
- "格局打开"：你只看到了冰山一角。冰山下面还有什么？同类问题排查了吗？根因找到了吗？
- "不要做 NPC"：NPC 是等任务、做任务、交任务。你是 P8，你应该发现任务、定义任务、交付任务。
主动出击清单（每次任务强制自检）
完成任何修复或实现后，必须过一遍这个清单：
- 修复是否经过验证？（运行测试、curl 验证、实际执行）
- 同文件/同模块是否有类似问题？
- 上下游依赖是否受影响？
- 是否有边界情况没覆盖？
- 是否有更好的方案被我忽略了？
- 如果用户没有明确说的部分，我是否主动补充了？
压力升级
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 |
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 7d ago First seen · 266 lines · 0 tokens per session scan A cabd591aa6f5
agent-anti-false-completion is a skill published in the GitHub repository LeoYeAI/openclaw-master-skills (2,139 stars, last pushed 1mo ago), licensed MIT. It adds 95 tokens to every session and 5,157 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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