# jadezane6634-ops/dsh-purge-flash > A DSH plugin that reduces model refusals via prefill, request-body rewriting, and a token-level retry loop after refusals. - Magnitude: 5.3 out of 10 — Early signal - Stars: 151 total · +18 stars measured 2026-10-26, 10:47–13:10 UTC, ≈ 44 by evening - Star trust: star growth looks organic - Category: AI agents · Language: JavaScript · License: MIT · Created: 2026-10-25 · Last push: 2026-10-26 - GitHub: https://github.com/jadezane6634-ops/dsh-purge-flash · Homepage: https://github.com/jadezane6634-ops/dsh-purge-flash#readme · Page: https://gitnova.dev/en/r/jadezane6634-ops/dsh-purge-flash ## Useful for - Configure prefill for the desired output format (code, steps, table) - Detect a refusal from the first tokens and resend with stronger prefill - Cut prompt token overhead compared to dsh-purge ## Why it’s here - Star-counter measurements on 2026-10-26 (UTC), 10:47–13:10: 133 → 151 stars (+18). This is the change over that interval. - Estimated end-of-day forecast: about +44 stars, using observed gains and the previous day. - The repository is 1 day old and already has 151 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Top new repositories this week: #146. - About 99 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: 73 - Issues and pull requests: 3 - Watchers: 0 - Average over the last week: 68 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 13 - Latest release: v1.5.3 (2026-10-26) ## Stars per day, last 2 days (oldest → newest, today is partial) 2026-10-25 … 2026-10-26: 93, 18 ## Spotted in now - Top new repositories this week: #146 ## More in this category 1. **AgriciDaniel/claude-seo** — 8.6 · Breakout · AI agents · Python · +940 stars measured 2026-10-26, 00:11–13:10 UTC, ≈ 1,588 by evening SEO analysis plugin for Claude Code: 26 sub-skills and 19 agents run in parallel across technical SEO, E-E-A-T, Schema.org, GEO/AEO, local and international SEO, producing a prioritized action plan. Full card: https://gitnova.dev/en/r/AgriciDaniel/claude-seo.md 2. **makecindy/cindy** — 8.5 · Breakout · AI agents · TypeScript · +930 stars measured 2026-10-26, 00:11–13:10 UTC, ≈ 1,541 by evening Cindy is an open-source AI agent that combines multiple harnesses (Claude Code, Codex), models and tools into one agent working locally with your real files and apps. This repo is the client: Electron desktop and Expo/React Native mobile… Full card: https://gitnova.dev/en/r/makecindy/cindy.md 3. **elayadesign/ai-design-skills** — 8.2 · Breakout · AI agents · +104 stars measured 2026-10-26, 12:25–13:10 UTC, ≈ 710 by evening A collection of markdown-based design skills for AI coding tools like Claude Code, Cursor, Codex and Windsurf, covering landing page design and turning static designs into animated showcases. Full card: https://gitnova.dev/en/r/elayadesign/ai-design-skills.md 4. **TauricResearch/TradingAgents** — 7.9 · Breakout · AI agents · Python · +766 stars measured 2026-10-26, 00:12–13:10 UTC, ≈ 1,336 by evening A framework that simulates a trading firm with LLM agents (analysts, researchers, trader, risk manager) debating markets and producing trading decisions. Built for research, not real trading. Full card: https://gitnova.dev/en/r/TauricResearch/TradingAgents.md 5. **morganlinton/BeautifulRust** — 7.7 · Early signal · AI agents · Python · +322 stars measured 2026-10-26, 00:11–13:10 UTC, ≈ 577 by evening A Claude Code plugin with a rust-best-practices skill that teaches Claude to write idiomatic, robust Rust. The skill loads automatically whenever a task involves Rust, cargo, crates, the borrow checker, clippy, or .rs files. Full card: https://gitnova.dev/en/r/morganlinton/BeautifulRust.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 2026-10-26 13:24 UTC, updated every 30 minutes.