CtrlK
BlogDocsLog inGet started
Tessl Logo
SkillPublic

sensorkit

Access ambient, motion, biometric, and interaction research data using SensorKit. Use when configuring sensor readers, handling authorization and study onboarding, fetching sample streams, managing user data deletion, or building research and clinical studies.

Quality

87%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide
SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

86%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.

A well-structured, token-efficient skill body: tight executable Swift examples, a clear setup-to-fetch sequence, and clean progressive disclosure into three genuine reference files. The main gaps are minor: one code snippet is not self-contained, and the destructive data-deletion workflow lacks a verification checkpoint.

Suggestions

Make the fetch example self-contained by defining or parameterizing the `reader` instance in `fetchSamples`, so the snippet is copy-paste ready.

Add a verification step after `reader.delete(request)` (e.g., handling thrown errors and confirming the deletion range) to give the destructive operation an explicit validation checkpoint.

Replace the "// Handle authorization response" stub with a concrete status check (e.g., switching on `SRAuthorizationStatus`) so the authorization example is fully executable.

DimensionReasoningScore

Conciseness

The body is lean and assumes competence: no explanations of what sensors or delegates are, minimal prose, and all sample-type/catalog detail is pushed to reference files. The "Targets Swift 6.4 / iOS 26+" line is static platform targeting rather than date-conditional guidance, so it does not violate the time-sensitivity guideline. Every section earns its place, matching the lean-and-efficient anchor.

5 / 5

Actionability

Mostly executable guidance: complete Swift snippets for authorization, reader lifecycle with delegate wiring, fetch requests with the real delegate signature, and a deletion call. Not a 5 because `fetchSamples` references an undefined `reader`, and the authorization example ends at a "// Handle authorization response" stub instead of showing status handling.

4 / 5

Workflow Clarity

Setup is a clear numbered sequence (entitlement, Info.plist keys, request authorization), `start()` guards on `authorizationStatus`, and the Common Mistakes and Review Checklist sections supply checkpoints and error-avoidance guidance. Not a 5 because the destructive deletion operation has no verification guidance beyond `try`, and there is no explicit validate-fix-retry loop for fetch failures.

4 / 5

Progressive Disclosure

The SKILL.md is a concise overview with a table of contents, and detailed material is split into three real, one-level-deep reference files (setup-catalog-and-manager.md, usage-and-environment-samples.md, speech-face-and-health-samples.md) clearly signaled with descriptive labels. This matches the clear-overview, well-signaled one-level-deep references anchor.

5 / 5

Total

18

/

20

Passed

Description

83%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 description: it names a specific framework, states a clear capability, and provides an explicit multi-trigger "Use when" clause. Its only weaknesses are a slightly generic what-clause and a broad final trigger ("building research and clinical studies") that raises mild overlap risk.

DimensionReasoningScore

Specificity

Names the domain and several concrete actions ("configuring sensor readers", "handling authorization and study onboarding", "fetching sample streams", "managing user data deletion"), matching the several-specific-actions anchor. Not a 5 because "building research and clinical studies" is broad and the what-clause is a single access action; not a 3 because coverage clearly exceeds 1-2 actions.

4 / 5

Completeness

Explicitly answers both what ("Access ambient, motion, biometric, and interaction research data using SensorKit") and when ("Use when configuring sensor readers, handling authorization and study onboarding, fetching sample streams, managing user data deletion, or building research and clinical studies") with concrete trigger phrases, matching the top anchor. It is not a 4 because the when-clause is already explicit and specific rather than merely present.

5 / 5

Trigger Term Quality

Includes natural phrases users would say such as "sensor readers", "authorization", "sample streams", and "user data deletion", giving good keyword coverage. A few natural terms are missing (e.g., "sensor data", "biometric data", "wearable/health sensors"), keeping it below the comprehensive-synonyms anchor.

4 / 5

Distinctiveness Conflict Risk

SensorKit is a named, niche Apple framework with distinct triggers, so it is mostly distinguishable with minor overlap risk. Not a 5 because "biometric" data and "building research and clinical studies" could overlap with HealthKit or general research-study skills.

4 / 5

Total

17

/

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.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

thienqo/ios-skills

Path

skills/sensorkit/SKILL.md

Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.