# Imbad0202/academic-research-skills

> A suite of Claude Code skills that supports the full academic research pipeline: from literature search and writing to peer review and revision. It keeps a human in the loop by blocking at confirmation gates, adding citation anchor audits to catch hallucinated references and unsupported claims.

- Magnitude: 3.4 out of 10 — Steady
- Stars: 52,641 total · +94 stars measured 2026-10-18, 00:23–11:47 UTC, ≈ 177 by evening
- Star trust: star growth looks organic
- Category: AI agents · Language: Python · Created: 2026-02-26 · Last push: 2026-10-18
- GitHub: https://github.com/Imbad0202/academic-research-skills · Homepage: https://buymeacoffee.com/crucify020v · Page: https://gitnova.dev/en/r/Imbad0202/academic-research-skills

## Useful for

- Draft a paper chapter-by-chapter through Socratic dialogue with /ars-plan.
- Run a quick literature review on a topic using /ars-lit-review.
- Audit cited sources against claims with ARS_CLAIM_AUDIT=1 before finalizing.

## Why it’s here

- Star-counter measurements on 2026-10-18 (UTC), 00:23–11:47: 52547 → 52641 stars (+94). This is the change over that interval.
- Estimated end-of-day forecast: about +177 stars, using observed gains and the previous day.
- About 16 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: 4,037
- Issues and pull requests: 948
- Watchers: 141
- Average over the last week: 199 per day
- Usual pace: 132 per day
- Stars in the last hour (measured): 12
- Latest release: v3.23.1 (2026-10-16)

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-09-19 … 2026-10-18: 109, 146, 137, 154, 139, 93, 80, 94, 105, 141, 104, 101, 96, 110, 106, 105, 172, 121, 138, 169, 136, 128, 184, 257, 215, 182, 278, 143, 141, 94

## Magnitude by day, last 3 days

10-16 3.9, 10-17 3.5, 10-18 3.4

## More in this category

1. **google-research/harness2** — 8.9 · Breakout · AI agents · Python · +1,349 stars measured 2026-10-18, 02:46–11:45 UTC, ≈ 2,364 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. **anthropics/claude-plugins-official** — 8.0 · Breakout · AI agents · Python · +525 stars measured 2026-10-18, 00:21–11:45 UTC, ≈ 1,084 by evening
   Official Anthropic-managed directory of Claude Code plugins: internal plugins plus third-party ones from partners, installable via the built-in marketplace.
   Full card: https://gitnova.dev/en/r/anthropics/claude-plugins-official.md
3. **MadsLorentzen/ai-job-search** — 7.7 · Breakout · AI agents · Python · +981 stars measured 2026-10-18, 00:21–11:45 UTC, ≈ 2,006 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/MadsLorentzen/ai-job-search.md
4. **anomalyco/opencode** — 7.6 · Breakout · AI agents · TypeScript · +614 stars measured 2026-10-18, 00:21–11:45 UTC, ≈ 1,247 by evening
   Open source AI coding agent with terminal and desktop interfaces. Ships with a build agent (full edit and command access) and a read-only plan agent for code analysis.
   Full card: https://gitnova.dev/en/r/anomalyco/opencode.md
5. **android/skills** — 7.1 · Breakout · AI agents · Kotlin · +178 stars measured 2026-10-18, 00:21–11:45 UTC, ≈ 358 by evening
   A repository of AI-optimized modular instructions (SKILL.md) that help agents follow Android development best practices from developer.android.com. Installed via Android CLI or as a plugin for Claude Code and Codex.
   Full card: https://gitnova.dev/en/r/android/skills.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 2026-10-18 11:55 UTC, updated every 30 minutes.