scholar-evaluation

Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and writing with quantitative scoring and actionable feedback.

Install with Tessl CLI

npx tessl i github:K-Dense-AI/claude-scientific-skills --skill scholar-evaluation

What are skills?

1.67x

Review — 68%

Does it follow best practices?

If you maintain this skill, you can automatically optimize it using the tessl CLI to improve its score:

npx tessl skill review --optimize ./path/to/skill

Learn more

Evaluation — 92%

↑ 1.67x

Agent success when using this skill

Validation — 10 / 11 Passed

Validation for skill structure

SKILL.md

Review

Evals

Evaluation results

100%

47%

Research Paper Pre-Screening for Journal Submission

Programmatic score calculation with 8-dimension framework

Criteria

Without context

With context

All 8 dimensions present

41%

100%

5-point scale used

100%

Correct score JSON keys

100%

calculate_scores.py invoked

66%

100%

Output report produced

50%

100%

Quality threshold interpretation

100%

Dimension weights reflected

100%

Scores within valid range

100%

Evaluation covers paper content

100%

Workflow steps documented

90%

100%

Without context: $0.7062 · 3m 11s · 30 turns · 146 in / 11,903 out tokens

With context: $0.8114 · 2m 27s · 26 turns · 11,772 in / 7,993 out tokens

83%

38%

Manuscript Feedback for Revision Cycle

Qualitative per-dimension assessment and overall synthesis

Criteria

Without context

With context

Per-dimension strengths count

58%

Per-dimension weaknesses count

83%

Overall major strengths 3-5

100%

Overall critical weaknesses 3-5

40%

20%

Prioritized recommendations present

100%

Specific section references

100%

Actionable suggestions

100%

Balanced tone

25%

100%

Evidence-based grounding

60%

80%

Overall quality assessment present

37%

100%

Without context: $0.2278 · 1m 37s · 11 turns · 16 in / 4,622 out tokens

With context: $0.8728 · 3m 21s · 24 turns · 11,562 in / 10,283 out tokens

94%

26%

Thesis Chapter Evaluation for Doctoral Committee Review

Contextual evaluation adjustments and structured feedback format

Criteria

Without context

With context

Work type identified

87%

100%

Student/educational focus

90%

100%

Stage-appropriate standards

90%

100%

Output named SCHOLAR_EVALUATION.md

100%

Discipline-specific norms applied

80%

100%

Venue-adjusted standards

50%

100%

8 dimensions covered

40%

100%

Publication readiness section

60%

40%

Priority recommendations ranked

100%

Does not use peer review tone

100%

Without context: $0.2325 · 1m 42s · 10 turns · 14 in / 4,543 out tokens

With context: $0.8907 · 3m 44s · 24 turns · 6,973 in / 11,291 out tokens

Evaluated: 2 days ago
Agent: Claude Code
Model: Unknown

Table of Contents

Research Paper Pre-Screening for Journal Submission Manuscript Feedback for Revision Cycle Thesis Chapter Evaluation for Doctoral Committee Review

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.