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-evaluationRun 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
| Date | Repo stars |
|---|---|
| 1 Oct 2026 | 47,271 |
| 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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