# img2threejs/plugin-interior > A skill for Claude Code, Codex and OpenCode agents: from a single interior photo the agent authors an editable Blender scene and an interactive Three.js viewer with GLB export. - Magnitude: 4.1 out of 10 — Early signal - Stars: 163 total · +17 stars measured 2026-10-22, 00:38–04:50 UTC, ≈ 58 by evening - Star trust: star growth looks organic - Category: AI agents · Language: Python · Created: 2026-10-18 · Last push: 2026-10-19 - GitHub: https://github.com/img2threejs/plugin-interior · Homepage: https://img2threejs.io/ · Page: https://gitnova.dev/en/r/img2threejs/plugin-interior ## Useful for - Build an editable 3D room scene from a single interior photo - Get an interactive Three.js viewer and a static GLB for client review - Compare the Blender render against the reference and fix camera, geometry and materials ## Why it’s here - Star-counter measurements on 2026-10-22 (UTC), 00:38–04:50: 146 → 163 stars (+17). This is the change over that interval. - Estimated end-of-day forecast: about +58 stars, using observed gains and the previous day. - The repository is 4 days old and already has 163 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Top new repositories this week: #133. - About 7 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: 18 - Issues and pull requests: 0 - Watchers: 1 - Average over the last week: 43 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 5 ## Stars per day, last 5 days (oldest → newest, today is partial) 2026-10-18 … 2026-10-22: 1, 58, 50, 48, 17 ## Magnitude by day, last 2 days 10-21 3.7, 10-22 4.1 ## Spotted in now - Top new repositories this week: #133 ## More in this category 1. **google-research/harness2** — 7.8 · Peaking · AI agents · Python · +171 stars measured 2026-10-22, 00:37–05:31 UTC, ≈ 1,067 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** — 7.2 · Peaking · AI agents · Python · +119 stars measured 2026-10-22, 00:37–05:31 UTC, ≈ 1,171 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** — 6.9 · Breakout · AI agents · Python · +274 stars measured 2026-10-22, 00:37–05:31 UTC, ≈ 1,251 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. **DietrichGebert/ponytail** — 6.3 · Breakout · AI agents · JavaScript · +401 stars measured 2026-10-22, 00:37–05:31 UTC, ≈ 1,770 by evening A skill for AI coding agents (Claude Code, Codex, Copilot CLI, OpenCode) that enforces writing only the minimum necessary code via a laziness ladder: YAGNI, reuse, stdlib, native features. Benchmarks show ~54% less code and ~20% cheaper… Full card: https://gitnova.dev/en/r/DietrichGebert/ponytail.md 5. **bowenliang123/dsh-context** — 6.2 · Breakout · AI agents · TypeScript · +94 stars measured 2026-10-22, 00:37–05:31 UTC, ≈ 400 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 05:43 UTC, updated every 30 minutes.