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tone-adjuster

Use when converting medical text between academic and patient-friendly tones, translating medical jargon for patients, adapting research papers for public audiences, or rewriting clinical notes for patient handouts. Maintains medical accuracy while adjusting readability level.

56

Quality

63%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./scientific-skills/Academic Writing/tone-adjuster/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

27%

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

This skill suffers from severe bloat: roughly half the content is generic project-management boilerplate (Output Requirements, Response Template, Error Handling, Input Validation) that adds no domain-specific value and wastes tokens. The core medical tone conversion content (conversion rules, jargon table, code examples, best practices, common pitfalls) is genuinely useful but is buried under repetitive scaffolding. The skill would be dramatically improved by removing all generic sections and focusing exclusively on the medical tone conversion guidance.

Suggestions

Remove all generic boilerplate sections (Output Requirements, Response Template, Input Validation, Error Handling, Implementation Details) that don't contain tone-adjuster-specific guidance — these waste ~40% of the token budget on things Claude already knows.

Eliminate the repeated description text that appears verbatim in 'When to Use' and 'Key Features' sections, and consolidate the redundant Workflow/Example run plan into a single clear sequence.

Restructure so Quick Start and Core Capabilities appear first, as these contain the actually actionable content, and move or remove the generic 'Audit-Ready Commands' and 'Quick Check' sections.

Add a medical accuracy validation step in the workflow (e.g., 'Verify no clinical meaning was lost or altered during conversion') since this is a safety-critical domain where missing validation should not be acceptable.

DimensionReasoningScore

Conciseness

Extremely verbose and repetitive. The description is repeated verbatim in 'When to Use' and 'Key Features'. There are multiple redundant sections (Workflow, Implementation Details, Output Requirements, Error Handling, Input Validation, Response Template) that are generic boilerplate not specific to tone adjustment. The actual useful content (conversion rules, examples, code) is buried under layers of generic project management scaffolding that Claude already knows.

1 / 3

Actionability

The core capabilities section provides concrete Python code examples, a useful jargon translation table, and CLI usage examples. However, the code references modules (scripts.tone_adjuster, ToneAdjuster class) that may not exist (no bundle files provided), and much of the 'workflow' content is generic and non-executable (e.g., 'Confirm the user objective' is vague). The conversion rules and examples table are genuinely actionable.

2 / 3

Workflow Clarity

There is a numbered workflow and a quality checklist, but the workflow steps are generic ('Confirm the user objective', 'Validate that the request matches the documented scope') rather than specific to tone conversion. There's no validation checkpoint for medical accuracy after conversion, which is critical for a medical text transformation skill. The 'Example run plan' is also generic.

2 / 3

Progressive Disclosure

The document is a monolithic wall of text with no bundle files to support the references to 'references/' directory and 'scripts/main.py'. Multiple sections repeat the same information (Implementation Details references '## Workflow above', Key Features restates the description). Content is poorly organized with the Quick Start appearing after Implementation Details and Workflow sections, and generic boilerplate sections (Output Requirements, Response Template, Input Validation) bloat the file without adding value.

1 / 3

Total

6

/

12

Passed

Description

100%

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 is a strong skill description that clearly defines its niche in medical text readability adaptation. It provides explicit trigger conditions via a 'Use when...' clause, lists multiple concrete actions, and uses natural keywords that users in medical communication contexts would employ. The description is concise yet comprehensive, and its medical-readability focus makes it highly distinctive.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: converting medical text between tones, translating medical jargon, adapting research papers for public audiences, rewriting clinical notes for patient handouts. Also mentions maintaining medical accuracy while adjusting readability level.

3 / 3

Completeness

Clearly answers both 'what' (converting medical text between tones, translating jargon, adapting research papers, rewriting clinical notes) and 'when' with an explicit 'Use when...' clause listing specific trigger scenarios.

3 / 3

Trigger Term Quality

Includes strong natural keywords users would say: 'medical text', 'patient-friendly', 'medical jargon', 'research papers', 'clinical notes', 'patient handouts', 'readability level'. These cover a good range of terms a user working in medical communication would naturally use.

3 / 3

Distinctiveness Conflict Risk

Occupies a clear niche at the intersection of medical domain and tone/readability adaptation. The specificity of 'medical text', 'clinical notes', 'patient-friendly tones' makes it highly unlikely to conflict with general writing or general medical skills.

3 / 3

Total

12

/

12

Passed

Validation

90%

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

Validation10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

10

/

11

Passed

Repository
aipoch/medical-research-skills
Reviewed

Table of Contents

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