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符合当前检索条件的共有 5746
DevOps 7 浏览 · 5 下载

ops-journal

by ClawHub · v1.0.0

Structured operational journal that captures deployments, incidents, changes, and decisions. Creates a searchable ops log with incident timeline reconstruction and automated postmortem generation.

Tool 3 浏览 · 4 下载

whisnap

by ClawHub · v1.0.0

macOS CLI for transcribing audio and video files using local Whisper models or Whisnap Cloud.

Data AI 4 浏览 · 5 下载

talent-powers

by ClawHub · v1.0.0

Query builder reputation data via Talent Protocol API. Get Builder Rank, verify humans, resolve identities (Twitter/Farcaster/GitHub/wallet), search by location/country, get credentials, and enrich with GitHub data.

Test & Security 4 浏览 · 4 下载

macarena-test

by ClawHub · v1.0.0

Security audit and threat model for OpenClaw gateway hosts. Use to verify OpenClaw configuration, exposure, skills/plugins, filesystem hygiene, and to produce an OK/VULNERABLE report with evidence and fixes.

Research & Science 9 浏览 · 5 下载

personality-dynamics

by ClawHub · v1.0.0

Dynamic personality evolution for OpenClaw agents. Learn interaction patterns, adapt tone, and mode switching.

Tool 3 浏览 · 4 下载

sovereign-project-setup-wizard

by ClawHub · v1.0.0

An interactive project scaffolding tool that generates complete, production-ready project structures for Node.js, Python, Go, and Rust with proper .gitignore, README, CI/CD configurations, and Dockerfiles.

Data AI 4 浏览 · 5 下载

videogames

by ClawHub · v1.0.0

A skill to lookup video game information, prices, compatibility, and duration.

Test & Security 5 浏览 · 3 下载

ai-sentinel

by ClawHub · v1.0.0

Prompt injection detection and security scanning for OpenClaw agents. Installs the ai-sentinel plugin via OpenClaw CLI, configures plugin settings, and offers local (Community) or remote (Pro) classification with dashboard reporting. All configuration changes require explicit user confirmation.

Data AI 4 浏览 · 5 下载

context-budgeting

by ClawHub · v1.0.0

Manage and optimize OpenClaw context window usage via partitioning, pre-compression checkpointing, and information lifecycle management. Use when the session context is near its limit (>80%), when the agent experiences "memory loss" after compaction, or when aiming to reduce token costs and latency for long-running tasks.