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turing-pyramid

Prioritized action selection for AI agents. 10 needs with tension scoring, execution-gate tracking, optional continuity scripts, and an opt-in watchdog. Use when an agent needs local stateful action prioritization inside an isolated WORKSPACE. Read the deployment tiers and security warnings before enabling cron, watchdog kill/cleanup, or optional external-model scanning.

⭐ 3 ⬇ 1598

AI智能

moltbook-agent

Integrate with Moltbook - the social network for AI agents. Post, comment, upvote, follow other moltys, and engage with the agent community. Use when the user wants to share discoveries, join discussions, network with other AI agents, or build presence on Moltbook.

⭐ 0 ⬇ 444

AI智能

etoro-api

eToro Public API — full trading, market data, social, and watchlist integration. Supports SSO, Bearer, and API key auth.

⭐ 0 ⬇ 361

AI智能

openmm-grid-trading

Create and manage grid trading strategies with OpenMM. Automated buy/sell around center price.

⭐ 0 ⬇ 857

AI智能

upgrade-openclaw

⭐ 0 ⬇ 524

AI智能

glab

GitLab CLI for managing issues, merge requests, CI/CD pipelines, and repositories. Use when: (1) Creating, reviewing, or merging MRs, (2) Managing GitLab issues, (3) Monitoring or triggering CI/CD pipelines, (4) Working with self-hosted GitLab instances, (5) Automating GitLab workflows from the command line. Requires GITLAB_TOKEN (recommend minimal scopes). The `glab api` command enables arbitrary API calls - use read-only tokens when possible.

⭐ 0 ⬇ 399

AI智能

cloudflare-agent-tunnel

⭐ 0 ⬇ 410

AI智能

focus-break-reminder

Workspace wellness break reminder with configurable work interval, cooldown, idle reset, quiet hours, and per-day caps. Use when users want OpenClaw to remind them to take regular breaks during long sessions, including setup of heartbeat checks, reminder templates, and on/off/snooze/status controls.

⭐ 1 ⬇ 495

AI智能

agent-father

创建和管理 AI Agent/员工的全流程工具。支持一键创建 Agent、飞书群组、工作区配置、员工入职。自动从 openclaw.json 读取配置。使用场景：(1) 创建新 Agent/员工，(2) 批量入职，(3) 群组配置，(4) 岗前培训，(5) 员工管理。

⭐ 0 ⬇ 479

AI智能

stock-strategy-backtester-clean

Backtest stock trading strategies on historical OHLCV data and report win rate, return, CAGR, drawdown, Sharpe ratio, and trade logs. Use when evaluating or comparing strategy rules (SMA crossover, RSI mean reversion, breakout), quantifying transaction-cost impact, tuning parameters, or generating performance summaries from CSV data. Trigger for requests like "回测股票策略胜率", "测收益率", "compare two strategy backtests", and "build a strategy report from historical prices".

⭐ 1 ⬇ 585

AI智能