claude-scientific-skills

Scientific research and analysis skills

Quality

Does it follow best practices?

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Adds up to 20 points to the overall score

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Securityby

Passed

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tessl review fix ./skills/claude-scientific-skills/SKILL.md

Quality

Content

11%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This skill is essentially an empty placeholder with no actionable content. It repeats its own title/description multiple times without providing any actual instructions, examples, code, or workflows for scientific research and analysis. It fails to teach Claude anything it doesn't already know.

Suggestions

Define what specific scientific tasks this skill covers (e.g., literature review, data analysis, statistical testing) and provide concrete instructions for each.

Add executable code examples for common scientific analysis patterns (e.g., data processing with pandas/numpy, statistical tests, visualization).

Include a clear workflow with validation steps for at least one scientific analysis process (e.g., hypothesis testing pipeline with data validation checkpoints).

Either populate the skill with real content or split into sub-files with clear references (e.g., STATISTICS.md, DATA_ANALYSIS.md, LITERATURE_REVIEW.md) that contain actionable guidance.

Dimension	Reasoning	Score
Conciseness	The content is padded with repetitive placeholder text that adds no value. The description, 'When to Use' section, and 'Instructions' section all say essentially the same thing ('scientific research and analysis skills') without providing any actual information.	2 / 5
Actionability	There is no concrete guidance whatsoever—no code, no commands, no specific steps, no examples. The entire content is vague placeholder text that tells Claude nothing about what to actually do.	1 / 5
Workflow Clarity	There are no steps, no sequence, no process described at all. The skill provides zero workflow guidance for any scientific research or analysis task.	1 / 5
Progressive Disclosure	While there are section headers providing minimal structure, there are no bundle files, no referenced sub-documents, and the single external link points to a source repository rather than actionable reference material. The content that should exist is entirely absent rather than being organized across files.	2 / 5
	Total	6 / 20 Passed

Description

7%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

This description is critically underdeveloped. It provides no concrete actions, no trigger guidance, and is so vague that it would be nearly impossible for Claude to reliably select it from a pool of skills. It reads more like a category label than a functional skill description.

Suggestions

Add specific concrete actions the skill performs, e.g., 'Conducts literature reviews, analyzes experimental data, performs statistical tests, summarizes research papers, and formulates hypotheses.'

Add an explicit 'Use when...' clause with natural trigger terms, e.g., 'Use when the user asks about research papers, experimental design, statistical analysis, scientific methodology, or peer-reviewed studies.'

Narrow the scope to a specific scientific domain or task type to reduce conflict risk with other analysis-related skills, e.g., focus on 'biomedical research' or 'research paper analysis' rather than all of science.

Dimension	Reasoning	Score
Specificity	The description is entirely vague with no concrete actions listed. 'Scientific research and analysis skills' names a broad domain but provides zero specific capabilities like 'literature review', 'data analysis', 'hypothesis testing', etc.	1 / 5
Completeness	Missing both 'what' and 'when'. There is no explanation of what specific tasks this skill performs, and no 'Use when...' clause or any guidance on when Claude should select this skill.	1 / 5
Trigger Term Quality	Contains only two generic keywords ('scientific research' and 'analysis') that are extremely broad. Missing any natural terms users would say like 'paper', 'study', 'experiment', 'data', 'statistics', 'literature review', or specific scientific domains.	2 / 5
Distinctiveness Conflict Risk	Extremely generic and would conflict with virtually any data analysis, research, or academic skill. 'Scientific research and analysis' is so broad it could overlap with statistics tools, literature review skills, data processing skills, and many others.	1 / 5
	Total	5 / 20 Passed

Validation

90%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 10 / 11 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	10 / 11 Passed

Repository: administrakt0r/AI-Agents-Safe-Coding-Skills
Path: skills/claude-scientific-skills/SKILL.md
Commit: 57c135b

Reviewed: 2 days ago

Table of Contents

Discovery Implementation Validation

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