# sit-in/awesome-grokbot-playbooks > A Chinese-first collection of Grok Bot playbooks, including reusable recipes (war room, X radar, quota check-up) and a verified ecosystem list of templates, skills and tools, maintained by Grok Bot and Claude. - Magnitude: 5.6 out of 10 — Early signal - Stars: 188 total · +29 stars measured 2026-10-22, 00:37–04:07 UTC, ≈ 134 by evening - Star trust: star growth looks organic - Category: AI agents · Language: HTML · License: MIT · Created: 2026-10-17 · Last push: 2026-10-22 - GitHub: https://github.com/sit-in/awesome-grokbot-playbooks · Page: https://gitnova.dev/en/r/sit-in/awesome-grokbot-playbooks ## Useful for - Deploy a war-room recipe where 3-6 bots coordinate only through files with a human gate before publishing - Set up an X radar Routine that scans X daily and sends only digests with signals - Audit and reopen Routine quotas step by step when your allowance is nearly exhausted ## Why it’s here - Star-counter measurements on 2026-10-22 (UTC), 00:37–04:07: 159 → 188 stars (+29). This is the change over that interval. - Estimated end-of-day forecast: about +134 stars, using observed gains and the previous day. - The repository is 5 days old and already has 188 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Top new repositories this week: #115. - About 20 forks a day — people are taking the code. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 21 - Issues and pull requests: 12 - Watchers: 1 - Average over the last week: 54 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 10 - Latest release: v0.1.0 (2026-10-20) ## Stars per day, last 6 days (oldest → newest, today is partial) 2026-10-17 … 2026-10-22: 0, 0, 0, 69, 121, 29 ## Magnitude by day, last 2 days 10-21 3.9, 10-22 5.6 ## Spotted in now - Top new repositories this week: #115 ## More in this category 1. **google-research/harness2** — 7.8 · Peaking · AI agents · Python · +122 stars measured 2026-10-22, 00:37–04:07 UTC, ≈ 1,079 by evening A framework for recursive optimization of AI agent harnesses (prompts, tools, memory, skills) without fine-tuning model weights, with JobBench, LAB and WorkBuddy-Bench benchmarks. Full card: https://gitnova.dev/en/r/google-research/harness2.md 2. **ai-job-search-dev/ai-job-search** — 7.3 · Peaking · AI agents · Python · +95 stars measured 2026-10-22, 00:37–04:07 UTC, ≈ 1,273 by evening A job application framework built on Claude Code: evaluates postings, tailors CVs, and writes cover letters. Runs locally, focused on the Danish job market. Full card: https://gitnova.dev/en/r/ai-job-search-dev/ai-job-search.md 3. **Graphify-Labs/graphify** — 6.8 · Breakout · AI agents · Python · +215 stars measured 2026-10-22, 00:37–04:07 UTC, ≈ 1,239 by evening Turns any codebase, docs, SQL schemas, configs, and PDFs into a queryable knowledge graph. Works as a /graphify skill in Claude Code, Cursor, Codex, and Gemini CLI with local deterministic AST parsing. Full card: https://gitnova.dev/en/r/Graphify-Labs/graphify.md 4. **aicodeking/pandacode** — 6.1 · Early signal · AI agents · Rust · +12 stars measured 2026-10-22, 00:37–04:07 UTC, ≈ 175 by evening A native desktop workspace for managing and running coding agents. It unifies projects, Git, terminal, and LLM tools in one window. Full card: https://gitnova.dev/en/r/aicodeking/pandacode.md 5. **bowenliang123/dsh-context** — 6.1 · Breakout · AI agents · TypeScript · +68 stars measured 2026-10-22, 00:37–04:07 UTC, ≈ 378 by evening A DeepSeek Harness plugin that visualizes an agent's context: dashboard, browser, sidebar panel and /context command showing composition, stats and evolution of the context window. Full card: https://gitnova.dev/en/r/bowenliang123/dsh-context.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-10-22 04:18 UTC, updated every 30 minutes.