scholar-evaluation
Provide qualitative-first, evidence-traceable developmental review of scholarly works and audit low-stakes research-assessment rubrics with optional local quality controls. Never use for ranking people or consequential decisions.
npx skills add K-Dense-AI/claude-scientific-writer --skill scholar-evaluation --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Scholar Evaluation ## Purpose Provide developmental, evidence-traceable feedback on a **scholarly work**: paper, draft, protocol, literature synthesis, or research idea. Use qualitative judgment first. Optional scores only describe how submitted evidence maps to a predeclared bounded rubric. This skill also audits whether a low-stakes assessment process documents its construct, provenance, rater quality, uncertainty, traceability, sensitivity, fairness, accessibility, privacy, and human governance. ## Hard safety boundary Never use this skill to automate, recommend, materially influence, or score: - hiring, promotion, or tenure; - admissions; - grants or other funding; - prizes, honors, or awards; - discipline, dismissal, or sanctions; or - any other high-impact personnel decision. Never rank people. Never reduce a person to a composite score. Never infer ability, character, integrity, protected traits, future performance, or worth. A nominal human-in-the-loop does not remove this boundary. If asked for a prohibited use, stop. Offer developmental comments on a scholarly work or a process-only audit that does not process applications, compare people, recommend an outcome, or advis
- Purpose
- Hard safety boundary
- ScholarEval status
- Metric and prestige policy
- Data boundary
- Workflow
- 1. Confirm allowed use and authorization
- 2. Define the construct before criteria
- 3. Adapt and validate the rubric
- 4. Build traceable evidence records
- 5. Rate independently
- 6. Run local quality checks
- 7. Synthesize qualitative findings
- 8. Human review and release
What does the scholar-evaluation skill do?
Provide qualitative-first, evidence-traceable developmental review of scholarly works and audit low-stakes research-assessment rubrics with optional local quality controls. Never use for ranking people or consequential decisions.
How do I install it?
Run `npx skills add K-Dense-AI/claude-scientific-writer --skill scholar-evaluation --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From K-Dense-AI/claude-scientific-writer, a repository with 2,169 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.