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cohort-study-quality-assessment-nos

Evaluates the quality of cohort studies using the Newcastle-Ottawa Scale (NOS). Use when the user provides a cohort study article or text and needs a quality assessment report.

59

Quality

69%

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SecuritybySnyk

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tessl review fix ./scientific-skills/Data Analysis/cohort-study-quality-assessment-nos/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

56%Weight 40%Scale 1-5

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

The core NOS workflow is concrete and well-sequenced, but the skill is weighed down by large blocks of generic boilerplate and references to bundle files (references/nos_criteria.md, scripts/*.py) that are not actually present. Trimming the templated sections and shipping the referenced files would materially raise quality.

Suggestions

Remove or collapse the generic templated sections (When to Use, Key Features, Dependencies, Input Validation, Output Contract, Validation and Safety Rules, Failure Handling) that do not add NOS-specific guidance; keep only the Workflow, Helper Scripts, and Quality Interpretation content.

Create the missing bundle files (`references/nos_criteria.md`, `scripts/calculate_nos_score.py`, `scripts/extract_pdf.py`) so the in-body references resolve, or move the inlined D1-D9 criteria into `references/nos_criteria.md` and link to it instead of duplicating.

Add an explicit validate/retry checkpoint after Step 4 (e.g., re-confirm star assignments against the criteria before generating the final report) to strengthen the workflow's feedback loop.

DimensionReasoningScore

Conciseness

Roughly half the body is generic templated boilerplate ('When to Use', 'Key Features', 'Dependencies', 'Input Validation', 'Output Contract', 'Validation and Safety Rules', 'Failure Handling') that restates principles Claude already knows and adds no NOS-specific value, making it noticeably verbose with several padded sections.

2 / 5

Actionability

It gives concrete, executable commands (`python scripts/extract_pdf.py`, `python scripts/calculate_nos_score.py '<json_string>'`) with a worked JSON example and item-by-item D1-D9 star criteria, though the referenced scripts are absent from the bundle, leaving a minor gap.

4 / 5

Workflow Clarity

Steps 1-5 (extract, analyze, format JSON, calculate, report) are clearly sequenced with conservative-scoring guidance and a Quick Validation check, but there is no explicit validate-then-retry feedback loop for the scoring step itself.

4 / 5

Progressive Disclosure

Sections are organized and references are named, but the body inlines the full D1-D9 criteria that `references/nos_criteria.md` is meant to hold, and the referenced `references/` and `scripts/` files do not actually exist in the bundle, so references are neither clearly realized nor cleanly one level deep.

3 / 5

Total

13

/

20

Passed

Description

82%Weight 40%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.

The description cleanly answers both 'what' and 'when' with a distinct, domain-specific niche and natural trigger terms. Its only weakness is modest specificity — it names the evaluation action but not the full set of concrete actions the skill performs.

DimensionReasoningScore

Specificity

Names the domain (cohort studies, Newcastle-Ottawa Scale) and one concrete action ('Evaluates the quality'), but does not list multiple specific actions like report generation steps, so it stops at domain-plus-1-2-actions rather than comprehensive coverage.

3 / 5

Completeness

It explicitly states what the skill does ('Evaluates the quality of cohort studies using the Newcastle-Ottawa Scale (NOS)') and when to use it ('Use when the user provides a cohort study article or text and needs a quality assessment report'), with concrete trigger phrases for both.

5 / 5

Trigger Term Quality

Natural domain terms ('cohort study article or text', 'quality assessment report', 'Newcastle-Ottawa Scale') are phrases a user would plausibly say, though common synonyms and abbreviation variants are not exhaustively covered.

4 / 5

Distinctiveness Conflict Risk

The 'Newcastle-Ottawa Scale' cohort-study niche is highly specific with distinct triggers, making accidental activation for unrelated skills very unlikely.

5 / 5

Total

17

/

20

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

referenced_paths_exist

Referenced path issues: 15 missing

Warning

Total

14

/

16

Passed

Repository
aipoch/medical-research-skills
Reviewed

Table of Contents

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