anti-lie
Use when audited OpenClaw conversations or outgoing Feishu/Slack/channel messages contain concrete business numbers such as revenue, percentages, stock prices, contract values, costs, market share, or funding and need evidence checks plus red/yellow/green audit stamps after sends.
npx skills add lc198707/anti-lie --skill skill --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Anti-Lie V0.1.0-rev13 Skill Installs the Anti-Lie verifier, OpenClaw hook, and shadow worker so outbound channel messages with concrete business claims are checked for evidence and stamped with PASS/WARN/BLOCK-style audit tails. ## 何时使用本 Skill Activate this skill when the user or workspace mentions: - anti-lie, anti lie, audit stamp, 红黄绿审计, 小尾巴, anti-lie verify - outgoing OpenClaw channel messages to Feishu, Slack, Discord, Telegram, or similar need evidence review - concrete business numbers need receipts before sending: revenue, 营收, costs, percentages, growth rates, stock prices, contract values, funding, market share - installing, verifying, repairing, rolling back, or uninstalling the anti-lie V4.4-rev5 hook/service on Linux or macOS nodes Do not use it for general fact checking without OpenClaw outbound-message audit needs. ## 一键安装（顶层 install.sh） From this skill directory: ```bash bash install.sh ``` Useful options: ```bash bash install.sh --dry-run bash install.sh --port=17600 bash install.sh --workspace="$HOME/.openclaw/workspace" bash install.sh --python=/path/to/python3 ``` The wrapper checks Python >=3.10, OpenClaw config, backs up current hooks to `~/.openclaw/.anti-li
- 何时使用本 Skill
- 一键安装（顶层 install.sh）
- 自检（verify.sh）
- 卸载（uninstall.sh）
- 配置
- 故障排查
- Q1: Python <3.10 fails
- Q2: Port 17600 is occupied
- Q3: Service starts but health check fails
- Q4: Outgoing messages get no audit tail
- Q5: Inbound user messages are audited
bash install.sh bash install.sh --dry-run bash install.sh --port=17600 bash install.sh --workspace="$HOME/.openclaw/workspace" bash install.sh --python=/path/to/python3 bash verify.sh bash verify.sh --port=17600 bash uninstall.sh pgrep -af anti-lie-shadow-worker.js tail -n 50 /tmp/anti-lie-audit.log
What does the anti-lie skill do?
Use when audited OpenClaw conversations or outgoing Feishu/Slack/channel messages contain concrete business numbers such as revenue, percentages, stock prices, contract values, costs, market share, or funding and need evidence checks plus red/yellow/green audit stamps after sends.
How do I install it?
Run `npx skills add lc198707/anti-lie --skill skill --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From lc198707/anti-lie, a repository with 89 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.