发布者

davida-ps 发布的技能

已发布 24 个技能,累计 1089 次安装。

集成公告源监控、签名校验与风险技能处置的 ClawSec 套装管理入口。

作者 davida-ps359 次安装8 星标

为 AI 智能体订阅社区维护的安全公告情报源,及时获取威胁与漏洞更新。

作者 davida-ps103 次安装1 星标

Automated daily security audits for OpenClaw agents with DM delivery and optional email reporting. Runs deep audits, creates or updates a recurring cron job,...

作者 davida-ps124 次安装3 星标

Drift detection + baseline integrity guard for agent workspace files with automatic alerting support

作者 davida-ps152 次安装1 星标

Community incident reporting for AI agents. Contribute to collective security by reporting threats.

作者 davida-ps92 次安装1 星标

Use when checking for security vulnerabilities in NanoClaw skills, before installing new skills, or when asked about security advisories affecting the bot

作者 davida-ps48 次安装

ClawHub reputation checker for clawsec-suite. Adds a standalone reputation gate before guarded skill installation.

作者 davida-ps34 次安装

Hermes-only runtime security attestation and drift detection skill for operator-managed Hermes infrastructure.

作者 davida-ps31 次安装

Automated vulnerability scanner for agent platforms. Performs dependency scanning (npm audit, pip-audit), multi-database CVE lookup (OSV, NVD, GitHub Advisor...

作者 davida-ps22 次安装

Picoclaw security posture skill with advisory awareness, configuration drift detection, and supply-chain verification guidance.

作者 davida-ps22 次安装

Hermes runtime traffic monitoring baseline for opt-in proxy inspection, egress detection, and attestation-aware traffic posture.

作者 davida-ps15 次安装

Picoclaw runtime traffic monitoring baseline for lightweight AI gateway proxy inspection, egress detection, and posture integration.

作者 davida-ps15 次安装

NanoClaw runtime traffic monitoring baseline for host-side proxy inspection with container-safe MCP and IPC status surfaces.

作者 davida-ps14 次安装

Hermes-only runtime security attestation and drift detection skill for operator-managed Hermes infrastructure.

作者 davida-ps5 次安装

Automated daily security audits for OpenClaw agents with DM delivery and optional email reporting. Runs deep audits, creates or updates a recurring cron job,...

作者 davida-ps5 次安装

Harness-neutral community incident reporting for AI agents. Contribute to collective security by reporting threats.

作者 davida-ps5 次安装

Drift detection + baseline integrity guard for agent workspace files with automatic alerting support

作者 davida-ps5 次安装

Picoclaw security posture skill with advisory awareness, configuration drift detection, and supply-chain verification guidance.

作者 davida-ps5 次安装

Hermes runtime traffic monitoring baseline for opt-in proxy inspection, egress detection, and attestation-aware traffic posture.

作者 davida-ps5 次安装

Picoclaw runtime traffic monitoring baseline for lightweight AI gateway proxy inspection, egress detection, and posture integration.

作者 davida-ps5 次安装

Picoclaw-only local posture-review skill focused on read-only findings and safe operator remediation guidance.

作者 davida-ps18 次安装

NanoClaw runtime traffic monitoring baseline for host-side proxy inspection with container-safe MCP and IPC status surfaces.

作者 davida-ps

Picoclaw-only local posture-review skill focused on read-only findings and safe operator remediation guidance.

作者 davida-ps5 次安装

OpenClaw runtime traffic monitoring baseline for opt-in HTTP/HTTPS proxy inspection, egress detection, inbound injection detection, and social-account policy...

作者 davida-ps

关于 Ottermind 技能

davida-ps 发布的全部技能。如果某位作者的思路本来就贴合你的工作方式,关注这个作者往往比一个个评估单独技能更省时间。

技能覆盖 Ottermind 智能体能做的全部工作:生成可编辑的 PowerPoint 演示文稿、产出产品图与品牌视觉、在你接入的机器上写代码并运行、把脚本或静态图变成视频、清洗并分析表格数据。技能的作用,就是把一个通用模型变成能稳定处理「你这一版」具体任务的工具。

技能就是一个带简短 frontmatter 头部的 Markdown 文件,所以你可以在运行前先读清楚它到底会做什么,按自己的规范改写,也可以分享给同事。一旦某个技能跑出了你要的结果,就能把它挂到智能体上或设成定时自动化,同样的活儿下次不用任何人再重写提示词。

Ottermind 技能是什么?
一份用 Markdown 写的可复用指令包。它为某一类任务提供上下文、步骤和约束,让结果保持稳定,而不是取决于你当天提示词写得好不好。
怎么安装和使用技能?
打开任意技能的详情页,读完整份文档,然后安装到你的工作区。之后遇到匹配的任务,智能体可以自动调用它,你也可以直接按名字指定。
我可以自己写技能吗?
可以。技能就是一个 Markdown 文件,frontmatter 里写清楚它叫什么、什么时候该用。如果有个流程你总要反复向智能体解释,把它一次性写成技能,通常是让它变得可复用的最短路径。
技能要额外收费吗?
浏览和安装技能库里的技能本身不收费。运行技能与其他智能体任务一样消耗积分,具体取决于你选择的模型和任务的工作量。