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Neuropsych Battery Selector

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NeuroAIHub
neuropsych-battery-selector

Domain-validated decision logic for selecting neuropsychological test batteries matched to suspected cognitive deficit profiles

Overview

PublisherNeuroAIHub
RepositoryBrainPilot
Skill nameneuropsych-battery-selector
Stars
1.1K
Forks
74
Bundled files
2
LicenseAGPL-3.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by NeuroAIHub on GitHub. Read the source before you install it.

Installation

Install the Neuropsych Battery Selector AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/NeuroAIHub/BrainPilot/tree/main/packages/skills/skills/10_Clinical_Neuropsychology/neuropsych-battery-selector
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/NeuroAIHub/BrainPilot.git /tmp/BrainPilot
mkdir -p .claude/skills
cp -r /tmp/BrainPilot/packages/skills/skills/10_Clinical_Neuropsychology/neuropsych-battery-selector .claude/skills/neuropsych-battery-selector
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Neuropsych Battery Selector in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Neuropsych Battery Selector on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Neuropsych Battery Selector is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Neuropsychological Battery Selector

Purpose

Selecting a neuropsychological test battery is a clinical judgment task, not a checklist exercise. A competent programmer without clinical neuropsychology training will get this wrong because:

  • Not all "memory tests" test the same construct. The CVLT-II/III assesses list learning with encoding strategies; Logical Memory tests narrative recall; the BVMT-R tests visual-spatial memory. Each is sensitive to different lesion profiles (Lezak et al., 2012, Ch. 11).
  • Test selection must match the referral question. A dementia screen requires different instruments than a TBI return-to-work evaluation or a pre-surgical epilepsy workup.
  • Normative data are not interchangeable. Age, education, cultural background, and premorbid ability all determine which norms to apply and whether a given score is actually impaired (Mitrushina et al., 2005).
  • Redundant tests waste time and fatigue patients. Over-testing degrades performance and inflates apparent impairment, particularly in older adults and those with attentional deficits (Strauss et al., 2006).

When to Use This Skill

Use this skill when you need to:

  • Select neuropsychological tests matched to a suspected cognitive deficit profile
  • Assemble a battery for a specific referral question (dementia differential, TBI, pre-surgical, forensic)
  • Advise on which cognitive domains to assess given a neurological condition
  • Evaluate whether a proposed battery has adequate domain coverage or problematic redundancy
  • Choose between brief screening vs. comprehensive evaluation

Do NOT use this skill for:

  • Interpreting test scores (that requires a different skill)
  • Diagnosing neurological conditions from test results alone
  • Administering tests (this requires licensed clinical training)

Research Planning Protocol

Before executing the domain-specific steps below, you MUST:

  1. State the research question -- What cognitive domain(s) are being assessed and why?
  2. Justify the method choice -- Why neuropsychological testing (not neuroimaging, behavioral paradigm)? What alternatives were considered?
  3. Declare expected outcomes -- What deficit pattern would support the clinical/research hypothesis?
  4. Note assumptions and limitations -- What does this battery assume about the patient? Where could it mislead?
  5. Present the plan to the user and WAIT for confirmation before proceeding.

For detailed methodology guidance, see the research-literacy skill.


⚠️ Verification Notice

This skill was generated by AI from academic literature. All parameters, thresholds, and citations require independent verification before use in research. If you find errors, please open an issue.

Step 1: Clarify the Referral Question

The referral question determines everything. Map it to one of these categories:

Referral TypePrimary GoalTypical Battery Length
Dementia differential diagnosisDistinguish AD vs. FTD vs. VaD vs. DLB3--4 hours
Mild cognitive impairment screeningDetect early decline, track progression1.5--2 hours
TBI evaluation (acute/subacute)Document deficits, guide rehabilitation2--3 hours
TBI evaluation (chronic/forensic)Quantify residual deficits, effort testing4--6 hours
Pre-surgical epilepsy workupLateralize/localize function, predict risk3--5 hours
Psychiatric differentialDistinguish cognitive vs. psychiatric etiology2--3 hours
Return-to-work/fitness-for-dutyFunctional capacity in specific domains2--4 hours

(Lezak et al., 2012, Ch. 5; Sweet et al., 2011 -- 78% of neuropsychologists use a flexible battery approach)


Step 2: Identify Target Cognitive Domains

Based on the referral question and suspected condition, select domains to assess. Every battery MUST cover at least attention/processing speed, memory, and executive function. Add domains based on the clinical picture.

Cognitive Domain Framework

Attention / Processing Speed

  • WAIS-IV Processing Speed Index (Coding, Symbol Search): ~15 min (Wechsler, 2008)
  • Trail Making Test Part A: ~3 min (Reitan, 1958; deficient if >78 sec, ages 25--54)
  • Continuous Performance Test (CPT-3): ~14 min (Conners, 2014)
  • WAIS-IV Digit Span (Forward): ~5 min (Wechsler, 2008)

Executive Function

  • Wisconsin Card Sorting Test (WCST-64): ~15 min (Heaton et al., 1993)
  • Trail Making Test Part B: ~5 min (Reitan, 1958; deficient if >273 sec, ages 25--54)
  • Stroop Color-Word Test: ~5 min (Golden, 1978)
  • Tower of London/D-KEFS Tower: ~15 min (Shallice, 1982; Delis et al., 2001)
  • Verbal Fluency -- FAS: ~5 min (Benton et al., 1994; mean ~36--44 words total for ages 25--54, education 12+ years)
  • Verbal Fluency -- Animals: ~2 min (Strauss et al., 2006; mean ~20--24 animals for ages 25--54)

Memory

  • WMS-IV (Logical Memory I & II, Verbal Paired Associates I & II): ~30--45 min including delay (Wechsler, 2009)
  • CVLT-II/CVLT-3 (California Verbal Learning Test): ~30 min (Delis et al., 2000/2017)
  • RAVLT (Rey Auditory Verbal Learning Test): ~15 min (Rey, 1964; Schmidt, 1996)
  • BVMT-R (Brief Visuospatial Memory Test--Revised): ~25 min including delay (Benedict, 1997)
  • Logical Memory (WMS-IV): immediate and delayed recall; sensitivity 90--95% for MCI when combined with CVLT (Rabin et al., 2009)

Language

  • Boston Naming Test (BNT-60): ~15--20 min (Kaplan et al., 1983)
  • Token Test (short form): ~10 min (De Renzi & Vignolo, 1962)
  • Controlled Oral Word Association (COWA/FAS): ~5 min (listed above under executive; also indexes language)
  • Western Aphasia Battery--Revised (WAB-R): ~30--60 min (Kertesz, 2007; use for suspected aphasia)

Visuospatial / Visuoconstructional

  • Rey Complex Figure Test -- Copy: ~5--10 min (Osterrieth, 1944; Meyers & Meyers, 1995)
  • WAIS-IV Block Design: ~10 min (Wechsler, 2008)
  • Judgment of Line Orientation (JLO): ~15 min (Benton et al., 1994)
  • Hooper Visual Organization Test (VOT): ~15 min (Hooper, 1983)

Motor Function

  • Grooved Pegboard: ~5 min per hand (Klove, 1963; Ruff & Parker, 1993)
  • Finger Tapping Test: ~10 min (Halstead, 1947; Reitan & Wolfson, 1993)

Step 3: Assemble the Battery

Core Battery (~2--3 hours)

Every evaluation should include these unless contraindicated:

DomainRecommended Core Test(s)Time
Premorbid estimateTOPF or WTAR~10 min
Attention / Processing SpeedTMT-A + WAIS-IV Coding + Digit Span~20 min
Executive FunctionTMT-B + Verbal Fluency (FAS + Animals) + Stroop~15 min
Verbal MemoryCVLT-II/III or RAVLT~30 min
Visual MemoryBVMT-R or RCFT recall~25 min
LanguageBNT (30- or 60-item)~15 min
VisuospatialRCFT Copy or Block Design~10 min
MotorGrooved Pegboard (bilateral)~10 min
Effort/ValidityTOMM Trial 1 or embedded measures~10 min
Total~145 min

Extended Battery (~4--6 hours)

Add these for complex referrals (forensic, dementia differential, pre-surgical):

DomainAdditional TestsTime
Intelligence estimateWAIS-IV (4 index scores)~70 min
Memory (expanded)WMS-IV (full battery)~75 min
Executive (expanded)WCST-64 + Tower~30 min
Language (expanded)Token Test + WAB-R~40 min
Visuospatial (expanded)JLO + Hooper VOT~30 min
Effort/Validity (expanded)TOMM (full) + WMT or MSVT~30 min
Added time~275 min

Assembly Rules

  1. One verbal learning test: Choose CVLT-II/III OR RAVLT, not both. They measure overlapping constructs (Strauss et al., 2006--778).
  2. One copy figure: RCFT copy OR Block Design for visuoconstruction screening. Use both only if visuospatial function is the primary question.
  3. Delay intervals: Schedule verbal memory delay recall (~20--30 min after learning) during non-memory tasks. Same for visual memory delay.
  4. Fatigue management: Place demanding tests (WCST, CVLT) early. Place motor tests as breaks. Offer rest periods every 60--90 min (Lezak et al., 2012, Ch. 6).
  5. At least one validity measure: Mandatory. Use TOMM Trial 1 (sensitivity 83%, specificity 93% at cutoff <=40; Denning, 2012) as a minimum. For forensic cases, use two or more PVTs from different modalities (Sweet et al., 2011).

Step 4: Select Appropriate Norms

Normative Data Decision Tree

  1. Age: Always match. Most tests provide age-stratified norms.
  2. Education: Use education-corrected norms when available (e.g., Heaton et al., 2004 norms for TMT, WCST, verbal fluency).
  3. Premorbid IQ: For patients with estimated IQ far from average, IQ-adjusted norms improve accuracy over education alone. MOANS norms found BNT, Token Test, and JLO correlate more strongly with IQ (r = .47--.61) than with education (r = .24--.31) (Steinberg et al., 2005).
  4. Cultural/linguistic background: US-normed tests may overestimate impairment in non-English speakers or culturally diverse populations (Lucas et al., 2005; Pena-Casanova et al., 2009). Use population-specific norms when available (e.g., NP-NUMBRS for Spanish speakers).
  5. Sex: Match when norms are available. Grooved Pegboard shows significant sex differences: women faster than men (Ruff & Parker, 1993). Finger Tapping: men faster, especially in older groups.

Premorbid Estimation

  • TOPF (Test of Premorbid Functioning): 70 irregular words, co-normed with WAIS-IV/WMS-IV, IQ range 53--141 (Pearson, 2009). Preferred for current use.
  • WTAR (Wechsler Test of Adult Reading): predecessor to TOPF, co-normed with WAIS-III/WMS-III (Wechsler, 2001). Acceptable if TOPF unavailable.
  • Caution: Both underestimate premorbid IQ in high-functioning individuals and overestimate in low-functioning individuals (Bright & van der Linde, 2020). Supplement with demographic-based estimates.

Step 5: Address Common Pitfalls

Practice Effects in Serial Assessment

  • Practice effects average d = 0.24--0.28 on composite scores at 6--12 month retest intervals (Calamia et al., 2012).
  • No consensus on minimum retest interval; effects persist for 2+ years on some measures (Heilbronner et al., 2010).
  • Tests most susceptible: PASAT, Stroop interference, verbal fluency, TMT-B (Beglinger et al., 2005).
  • Tests least susceptible: Digit Span, Letter-Number Sequencing (Beglinger et al., 2005).
  • Mitigation: Use alternate forms (CVLT-II has alternate form; RAVLT has multiple lists). Apply reliable change indices (RCIs) or standardized regression-based norms to interpret change (Chelune et al., 1993).

Ceiling and Floor Effects

  • Ceiling effects: TMT-A and simple attention tests may miss mild deficits in high-functioning individuals. Add more demanding measures (e.g., PASAT, D-KEFS verbal fluency switching) (Strauss et al., 2006).
  • Floor effects: WCST and complex tests may be too difficult for moderate-to-severe dementia. Substitute with simpler tasks (e.g., clock drawing, category fluency) (Lezak et al., 2012, Ch. 18).

Ecological Validity

  • Neuropsychological tests have modest correlations (r = .3--.5) with real-world functioning (Chaytor & Schmitter-Edgecombe, 2003).
  • Supplement with functional measures (e.g., Independent Living Scales, IADL checklists) when the referral question concerns everyday competence.
  • Executive function tests have particularly limited ecological validity; consider adding the Behavioral Assessment of the Dysexecutive Syndrome (BADS) or real-world task simulations (Wilson et al., 1996).

Symptom Validity Testing

  • TOMM standard cutoff (<45 Trial 2): specificity .96--1.00 but sensitivity only .15--.50 (Tombaugh, 1996). Use Trial 1 cutoff <=40 for better sensitivity (.83) at .93 specificity (Denning, 2012).
  • WMT (Word Memory Test): more sensitive than TOMM but higher false-positive rate in genuine MCI/dementia -- 67% of MCI patients classified as "poor effort" at standard cutoffs (Green, 2003). Use hard-easy comparison scores instead (sensitivity/specificity ~95%).
  • Embedded PVTs: Reliable Digit Span (RDS >= 7 as cutoff; Greiffenstein et al., 1994), CVLT-II Forced Choice <=15 (Delis et al., 2000). Use multiple embedded measures to supplement standalone PVTs.
  • Rule: In forensic and disability evaluations, include at least two standalone PVTs and two embedded PVTs (Larrabee, 2012).

Step 6: Condition-Specific Battery Recommendations

For expected deficit profiles by condition, see references/deficit-profiles.md. Below are summary battery modifications:

ConditionAdd to CoreRemove/De-emphasizeKey Rationale
Alzheimer's (suspected)WMS-IV full, CVLT-3 intrusion analysis, BNT-60May shorten executive batteryMemory encoding/storage is primary deficit (Weintraub et al., 2012)
FTD (behavioral variant)WCST, D-KEFS, social cognition measures, personality inventoryDe-emphasize visuospatialExecutive/behavioral profile dominates (Rascovsky et al., 2011)
Vascular dementiaProcessing speed emphasis (Coding, Symbol Search), TMT-A/B, verbal fluencyMay abbreviate languageProcessing speed and executive function most affected (Sachdev et al., 2014)
TBI (moderate-severe)CPT-3, PASAT, verbal fluency, motor tests bilateralNone -- broad battery neededDiffuse deficits: attention, speed, memory, executive (Rabinowitz & Levin, 2014)
Temporal lobe epilepsyVerbal/visual memory (laterality-specific), BNT, verbal fluencyMay abbreviate motorMemory lateralization critical for surgical planning (Jones-Gotman et al., 2010)
Parkinson's diseaseVerbal fluency (semantic + phonemic), JLO, clock drawing, Grooved PegboardNoneDual-syndrome: frontostriatal vs. posterior cortical (Kehagia et al., 2013)
Multiple sclerosisSDMT, PASAT, CVLT-II/III, BVMT-RMay abbreviate languageBICAMS recommended minimum battery (Langdon et al., 2012): SDMT + CVLT-II + BVMT-R

Quick Reference: Test-to-Domain Mapping

For a comprehensive catalog of tests with administration times, normative samples, and sensitivity data, see references/test-catalog.md.


Key References

  • Benton, A. L., Sivan, A. B., Hamsher, K., Varney, N. R., & Spreen, O. (1994). Contributions to Neuropsychological Assessment (2nd ed.). Oxford University Press.
  • Delis, D. C., Kaplan, E., & Kramer, J. H. (2001). Delis-Kaplan Executive Function System. Pearson.
  • Heaton, R. K., Miller, S. W., Taylor, M. J., & Grant, I. (2004). Revised Comprehensive Norms for an Expanded Halstead-Reitan Battery. PAR.
  • Heilbronner, R. L., Sweet, J. J., Attix, D. K., Krull, K. R., Henry, G. K., & Hart, R. P. (2010). Official position of the AACN on serial neuropsychological assessments. The Clinical Neuropsychologist, 24, 1267--1278.
  • Lezak, M. D., Howieson, D. B., Bigler, E. D., & Tranel, D. (2012). Neuropsychological Assessment (5th ed.). Oxford University Press.
  • Mitrushina, M., Boone, K. B., Razani, J., & D'Elia, L. F. (2005). Handbook of Normative Data for Neuropsychological Assessment (2nd ed.). Oxford University Press.
  • Strauss, E., Sherman, E. M. S., & Spreen, O. (2006). A Compendium of Neuropsychological Tests (3rd ed.). Oxford University Press.
  • Sweet, J. J., Nelson, N. W., & Moberg, P. J. (2011). The TCN/AACN 2010 "salary survey." The Clinical Neuropsychologist, 25, 218--245.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Neuropsych Battery Selector AI skill do?

Domain-validated decision logic for selecting neuropsychological test batteries matched to suspected cognitive deficit profiles

Why use Neuropsych Battery Selector on TypingMind?

Because you install it once and use it with any model. Neuropsych Battery Selector is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Neuropsych Battery Selector in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/NeuroAIHub/BrainPilot/tree/main/packages/skills/skills/10_Clinical_Neuropsychology/neuropsych-battery-selector. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Neuropsych Battery Selector?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Neuropsych Battery Selector?

As many as you like. As long as a model supports skills, you can use Neuropsych Battery Selector with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Neuropsych Battery Selector AI skill free?

Yes. It is published on GitHub by NeuroAIHub under the AGPL-3.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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