Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add silverstein/claude-scientific-skills-desktop --skill scholar-evaluationgit clone --depth 1 https://github.com/silverstein/claude-scientific-skills-desktopWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/silverstein/claude-scientific-skills-desktop/scholar-evaluation)<a href="https://agentmods.dev/skills/silverstein/claude-scientific-skills-desktop/scholar-evaluation"><img src="https://agentmods.dev/badge/skills/silverstein/claude-scientific-skills-desktop/scholar-evaluation/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/silverstein/claude-scientific-skills-desktop/scholar-evaluation"><img src="https://agentmods.dev/badge/skills/silverstein/claude-scientific-skills-desktop/scholar-evaluation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00081 | $0.01991 |
| Opus 5 | $0.00041 | $0.00996 |
| Sonnet 5 | $0.00016 | $0.00398 |
| Haiku 4.5 | $0.00008 | $0.00199 |
Grade A, and why
scholar-evaluation scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
80% identical to scholar-evaluation — 65 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 238 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scholar Evaluation
Overview
Apply the ScholarEval framework to systematically evaluate scholarly and research work. This skill provides structured evaluation methodology based on peer-reviewed research assessment criteria, enabling comprehensive analysis of academic papers, research proposals, literature reviews, and scholarly writing across multiple quality dimensions.
When to Use This Skill
Use this skill when:
- Evaluating research papers for quality and rigor
- Assessing literature review comprehensiveness and quality
- Reviewing research methodology design
- Scoring data analysis approaches
- Evaluating scholarly writing and presentation
- Providing structured feedback on academic work
- Benchmarking research quality against established criteria
Evaluation Workflow
Step 1: Initial Assessment and Scope Definition
Begin by identifying the type of scholarly work being evaluated and the evaluation scope:
Work Types:
- Full research paper (empirical, theoretical, or review)
- Research proposal or protocol
- Literature review (systematic, narrative, or scoping)
- Thesis or dissertation chapter
- Conference abstract or short paper
Evaluation Scope:
- Comprehensive (all dimensions)
- Targeted (specific aspects like methodology or writing)
- Comparative (benchmarking against other work)
Ask the user to clarify if the scope is ambiguous.
Step 2: Dimension-Based Evaluation
Systematically evaluate the work across the ScholarEval dimensions. For each applicable dimension, assess quality, identify strengths and weaknesses, and provide scores where appropriate.
Refer to references/evaluation_framework.md for detailed criteria and rubrics for each dimension.
Core Evaluation Dimensions:
-
Problem Formulation & Research Questions
- Clarity and specificity of research questions
- Theoretical or practical significance
- Feasibility and scope appropriateness
- Novelty and contribution potential
-
Literature Review
- Comprehensiveness of coverage
- Critical synthesis vs. mere summarization
- Identification of research gaps
- Currency and relevance of sources
- Proper contextualization
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 238 lines · 81 tokens per session scan A f5c775754702
scholar-evaluation is a skill published in the GitHub repository silverstein/claude-scientific-skills-desktop (22 stars, last pushed 5mo ago), licensed MIT. It adds 81 tokens to every session and 1,991 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 80% identical to scholar-evaluation, differing in 65 lines, and is treated as a copy.
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