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saudi-patient-testing

Test case execution guide for Saudi telehealth patients in Dr. Sophia AI. Covers 5 test cases (Ahmed, Fatima, Abdullah, Sara, Aisha), data separation principles (historical vs current symptoms), success criteria, critical safety validation. Use when testing Saudi patient consultations, running diagnostic accuracy tests, validating AI responses, or checking allergy/safety protocols.

65

Quality

77%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

High

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tessl review fix ./skill-builder-package/examples/saudi-patient-testing/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

67%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 body is a largely actionable, well-organized testing guide with concrete commands, validation thresholds, and a real supporting script. Its main weakness is conciseness: several opening sections duplicate the description and add little, and a fix-retry feedback loop is absent.

Suggestions

Remove or compress the Overview, Keywords, Status, and When-to-Use sections that duplicate the frontmatter description; keep the Status line only if the live success rate is genuinely needed at load time.

Add an explicit validate->fix->retry loop for failed test cases (e.g. 'If a safety check fails, review the AI response against the expected criteria, adjust the prompt/context, and re-run that single case') to raise workflow clarity.

Pull the embedded API key out of the curl example into a placeholder variable to avoid leaking credentials and make the example safely copy-pasteable.

DimensionReasoningScore

Conciseness

The Overview, Keywords, Status, and When-to-Use sections redundantly restate the frontmatter description and add padding (e.g. 'Complete guide for testing...'); the core test-case data is dense and necessary, so this is mostly efficient but could be tightened to remove the duplicated summary material.

3 / 5

Actionability

Provides a concrete 'node test-saudi-ai-diagnostic-accuracy.js' command, a copy-paste-ready curl payload, and per-case emails/MediRecords IDs/expected behaviors; minor gaps such as embedded credentials and success-criteria detail referenced rather than inline keep it just below fully executable.

4 / 5

Workflow Clarity

Clear sequence (run automated suite or manual curl, then check output against pass thresholds) with validation checkpoints (85% per-test, 80% overall, 'No critical safety failures allowed', enumerated critical safety checks); not a 5 because there is no explicit validate->fix->retry feedback loop.

4 / 5

Progressive Disclosure

Well-sectioned body with a real one-level-deep bundle reference (scripts/run-test-suite.sh exists and is signaled); the inlined test-case tables are appropriate for a testing guide, with only minor organization gaps.

4 / 5

Total

15

/

20

Passed

Description

87%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.

A strong, well-structured description that concretely states capabilities and provides explicit trigger guidance for a clearly niche domain. It would only benefit from slightly more granular action phrasing and a few additional synonyms.

DimensionReasoningScore

Specificity

Names the domain and lists several concrete actions ('test case execution guide', 'Covers 5 test cases', 'data separation principles', 'critical safety validation', 'validating AI responses', 'checking allergy/safety protocols'); falls short of 5 because the actions are somewhat generic and lack the granularity of the top anchor.

4 / 5

Completeness

Explicitly answers both what (test case execution guide with 5 cases, data separation, success criteria, safety validation) and when (concrete 'Use when...' trigger phrases), matching the top anchor.

5 / 5

Trigger Term Quality

The 'Use when testing Saudi patient consultations, running diagnostic accuracy tests, validating AI responses, or checking allergy/safety protocols' clause gives good natural keyword coverage; not a 5 because a few common variations/synonyms are absent.

4 / 5

Distinctiveness Conflict Risk

'Saudi telehealth patients in Dr. Sophia AI' carves a clear niche with distinct triggers and minimal overlap risk with other skills.

5 / 5

Total

18

/

20

Passed

Validation

100%

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

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
fernandezbaptiste/Skrillz
Reviewed

Table of Contents

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