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scholar-evaluationby K-DenseResearchGitHub stars: 47.3k

Scholar Evaluation skill: what it does and how to install it

Provides evidence-traceable developmental reviews of scholarly works and audits low-stakes assessment rubrics with local JSON/CSV quality checks.

Summary generated from the skill's documentation.

Install

$ npx skills add K-Dense-AI/scientific-agent-skills --skill scholar-evaluation

Run it in a terminal. If your agent is already running, start a new session so it picks the skill up.

About this skill

What it does. Guides qualitative-first reviews of papers, protocols, literature syntheses and research ideas, recording evidence locators, criterion status, uncertainty and improvement options. It also runs local JSON/CSV checks for rubric traceability, rater agreement, weight sensitivity and process controls.

When to use it. Use for developmental feedback on scholarly work or audits of low-stakes assessment processes with authorised, minimised data. It must not rank people or influence hiring, admissions, funding, promotion, awards, discipline or other consequential decisions, or issue accept/reject judgements.

History

Repo stars

47.3kAbout +18.6k since 9 Jul 2026

Before 1 Oct 2026 the curve is estimated from public event data.

Stars are counted for the whole repository, which holds 50 skills.

Show as a table
Repo stars by day
DateRepo stars
1 Oct 202647,271
24 Sept 2026 (estimated)46,976
17 Sept 2026 (estimated)46,257
10 Sept 2026 (estimated)41,836
3 Sept 2026 (estimated)30,545
27 Aug 2026 (estimated)29,347
20 Aug 2026 (estimated)29,160
13 Aug 2026 (estimated)29,027
6 Aug 2026 (estimated)28,947
30 Jul 2026 (estimated)28,894
23 Jul 2026 (estimated)28,894
16 Jul 2026 (estimated)28,841
9 Jul 2026 (estimated)28,708

Installs

1.8k

Tracking since . A chart appears once there are 7 days of data.

Installs via skills.sh

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